Search headlines

Review | Spielberg’s return to science fiction, “Disclosure Day” is a bold, messy blockbuster

Steven Spielberg is one of the most prolific directors of all time, so obviously, when he has a new movie coming out, I get incredibly excited. Spielberg’s return to science fiction with “Disclosure Day” is in many ways just what I expected from him, but also was head-scratching in some areas that I thought it...

Jun 15 • 1:12 AM EDT • Science • iowastatedaily.com

Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?

Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.

Jun 14 • 3:14 PM EDT • Technology • newsletter.semianalysis.com

The ‘Galaxy Z Fold 8 Ultra’ has the potential to be a cruel joke

There are actual reasons to get excited about Samsung’s upcoming foldables but, the more I think about it, the more...

Jun 14 • 12:00 PM EDT • Technology • 9to5google.com

Grant Funds New Business Welcome Kit Program for Arlington Businesses

The City of Arlington is excited to introduce our new Business Welcome Kit program for local Arlington eateries.

Jun 14 • 8:00 AM EDT • Business • arlingtontx.gov

Science & Medicine: Relaxing excited neurons may lead to more effective treatments for schizophrenia

A new medication to treat schizophrenia has been developed by scientists who discovered that a neuron that inhibits the activity of other cells may be in short supply in those with the disorder.

Jun 14 • 7:00 AM EDT • Science • tpr.org

Michigan nursing home cited 18 times for health violations in past year

Medicare gave the facility two stars out of five, based on the most-recent state inspection, completed in March, and the previous three years of complaint- and infection control-related inspections.

Jun 12 • 7:32 PM EDT • Health • mlive.com

5 Zelda Characters I'm Excited To See In The Ocarina Of Time Remake (And 5 That Need To Stay Away)

The Legend of Zelda: Ocarina of Time remake is just around the corner, and with it comes a whole lot of colorful (and sometimes creepy) characters.

Jun 12 • 4:53 PM EDT • Technology • gamespot.com

America Is Finally Getting Better Sunscreen. Dermatologists Are Thrilled.

The FDA just approved the first sunscreen filter in more than two decades. Here's why experts are excited.

Jun 12 • 8:00 AM EDT • Health • health.com

‘Crimson Desert’ Studio Says Steam Charts Helped It Hit 6 Million Sales

Crimson Desert has just sold 6 million copies in the last three months, and Steam Charts is being cited as helping to market the game for free.

Jun 11 • 11:18 AM EDT • Technology • forbes.com

Drake Maye says A.J. Brown gives Patriots missing element

New England Patriots quarterback Drake Maye is excited to play alongside star receiver A.J. Brown following the blockbuster trade.

Jun 10 • 9:25 PM EDT • Sports • sports.yahoo.com

Peekskill restaurant known for pizza and live entertainment to close

The owner of this longtime Peekskill restaurant cited economic challenges as reason for the closure.

Jun 10 • 12:50 PM EDT • Business • lohud.com

'Project Hail Mary' Returns Atop Weekly U.K. Home Entertainment Sales Chart Through June 10

Amazon MGM Studios’ former chart topper Project Hail Mary, starring Ryan Gosling as a lone astronaut on a mission to save humanity, returned to No. 1 from No. 2 the previous week in its fourth week on the weekly Official Film Chart — the U.K. home entertainment sales chart. Last week’s No. 1, Universal’s The Super … Continue reading "‘Project Hail Mary’ Returns Atop Weekly U.K. Home Entertainment Sales Chart Through June 10"

Jun 10 • 11:23 AM EDT • Entertainment • mediaplaynews.com

Lord help me, Fable's behind-closed-doors demo has got me very excited

It may be early days, but Fable is already looking like a real success

Jun 10 • 11:00 AM EDT • Technology • eurogamer.net

The Londoner Pub expanding to Arlington, near entertainment district

A British family that has called North Texas home for more than 30 years is excited to share its history with international fans during the FIFA World Cup.

Jun 10 • 7:32 AM EDT • Entertainment • nbcdfw.com

Apple Struck the Right Notes With Its New AI Tools. Here's 4 Features I'm Excited to Try

Siri AI is the headline feature of WWDC 26, but there are more new capabilities I need to check out.

Jun 10 • 6:54 AM EDT • Technology • cnet.com

Minecraft coming Nintendo Switch 2

We’re excited to announce that a native version of Minecraft is coming for Nintendo SwitchTM 2! This version of Minecraft is optimized to take advantage of the console’s more powerful hardware – and what’s exciting is it also allows us to bring Vibrant Visuals to the Switch 2.

Jun 9 • 1:05 PM EDT • Technology • minecraft.net

We can create the future of science right now

Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.

Jun 8 • 4:44 PM EDT • Science • goodscience.substack.com

Join the Monks this Summer! 2026 Sports Camps Information

STANDISH, Maine – Looking to sharpen your skills, explore a college campus, and enjoy summer on the shores of Sebago Lake? Saint Joseph's College of Maine is excited to announce a full slate of 2026 Summer Sports Camps designed for athletes of all levels and interests. From youth development clinics to elite prospect experiences, there's something for everyone.

Jun 8 • 8:35 AM EDT • Sports • gomonks.com

Trump walks out of ‘Meet the Press’ interview when challenged over false claims

When pressed by host Kristen Welker, the president cited no evidence for claims about Jan. 6 and elections he said were “rigged.”

Jun 7 • 2:15 PM EDT • Politics • washingtonpost.com

Hands On: "We Want It To Feel Like A Fighting Game" - Super Yooka-Laylee Kart Offers More Depth Than You Think

We've played Playtonic's new kart racer, and here's why you should be excited

Jun 5 • 8:00 PM EDT • Technology • nintendolife.com

Hotel from ‘Pretty Woman,’ ‘Beverly Hills Cop’ cited for health violations

One of California’s most famous luxury hotels has landed in the crosshairs of Los Angeles County restaurant health inspectors. The Four Seasons Beverly Wilshire, located at the intersection of Rode…

Jun 5 • 5:10 PM EDT • Health • ktla.com

‘What else do we have?’ Maine Democrats signal they’ll stick with Graham Platner, some with regret

Graham Platner is still likely to win Maine’s Democratic Senate nomination in Tuesday’s primary — but some voters in the state who once were excited by his campaign now say they’ll hold their noses while casting their ballots after a series of negative reports about his personal behavior.

Jun 5 • 4:54 PM EDT • Politics • cnn.com

About Golden Spike Sports

First Alert 6 WOWT is excited to announce our Golden Spike Sports and Entertainment Network.

Jun 5 • 4:04 PM EDT • Entertainment • wowt.com

About Golden Spike Sports

First Alert 6 WOWT is excited to announce our Golden Spike Sports and Entertainment Network.

Jun 5 • 4:04 PM EDT • Sports • wowt.com

WOSU PRESENTS: Politics and a Pint

WOSU is excited to host another lively political discussion in a casual setting. Grab a pour at Seventh Son Brewing and engage with our expert panel about the upcoming general election, current news, issues and topics. Admission is $10. Seventh Son will generously donate $1 of every beer and Kitty Paw hard seltzer purchased from the sunroom bar to support WOSU's mission (must mention that you are a guest of WOSU). Panelists scheduled to appear are:Mike Thompson, host of WOSU TV’s Columbus on the Record and political podcast SnollygosterAmy Juravich, host of WOSU’s All Sides with Amy JuravichMark Ferenchik, WOSU News DirectorSarah Donaldson, Ohio Public Radio Statehouse Reporter

Jun 4 • 3:39 PM EDT • Politics • wosu.org

Elden Ring Nintendo Switch 2 release date finally announced

It’s been a long time coming, but Elden Ring Tarnished Edition finally has its release date on Nintendo Switch 2. The game is due out on August 28, 2026. FromSoftware was originally planning on having the port wrapped up for 2026. However, that didn’t happen as the company announced a delay last October. FromSoftware cited the need for “game performance...

Jun 4 • 10:05 AM EDT • Technology • nintendoeverything.com

LaFleur, Love excited about Jordan Morgan ahead of crucial year

Matt LaFleur and Jordan Love expressed optimism about Jordan Morgan and Sean Rhyan as they hope to lead an improved offensive line in 2026.

Jun 4 • 9:21 AM EDT • Sports • sports.yahoo.com

NCAA president Charlie Baker reacts to Protect College Sports Act, says revisions are ‘essential’

In a letter to member schools Wednesday, NCAA president Charlie Baker shared his reaction to the Protect College Sports Act. But he also cited “several” provisions he said need to be revised. Baker pointed out the importance of the bipartisan Senate bill, filed last week by Sens. Ted Cruz (R-Texas) and Maria Cantwell (D-Wash.) in […]

Jun 3 • 11:29 PM EDT • Sports • sports.yahoo.com

Cannon Ballers to Host July 4th Extravaganza at Atrium Health Ballpark

KANNAPOLIS, N.C. – The Kannapolis Cannon Ballers are excited to announce a fun-filled Independence Day Extravaganza at Atrium Health Ballpark, bringing together baseball, live entertainment, and highlighted by the largest and most spectacular fireworks display in the region, celebrating America’s 250th anniversary in unforgettable fashion. Fans can expect a breathtaking,

Jun 3 • 2:13 PM EDT • Health • mlb.com

One Commanders' position group has Dan Quinn excited

One position group has Commanders coach Dan Quinn really excited about 2026.

Jun 3 • 5:40 AM EDT • Sports • sports.yahoo.com

Sophie Cunningham reveals what’s ‘hurting’ Indiana Fever right now

Indiana Fever star Sophie Cunningham cited the team’s lack of toughness on the defensive end as the main reason behind their uneven start to their 2026 WNBA campaign. The Fever dropped to 4-4 on the season after back-to-back losses to…

Jun 3 • 1:02 AM EDT • Sports • sports.yahoo.com

Trump-backed candidate 'confident' Republicans will have great night in California: 'Very excited'

Steve Hilton, one of two main Republicans running in California's jungle primary on Tuesday, said that he appreciated endorsements from President Donald Trump and Vice President JD Vance.

Jun 2 • 7:52 PM EDT • Politics • foxnews.com

SEC, Big Ten release joint statement on Protect College Sports Act, cite ‘critical issues’ with bill

Ahead of a Wednesday hearing on the Protect College Sports Act, the Big Ten and SEC released a joint statement against the bill in its current state. The two leagues cited “critical issues” with the bipartisan legislation, introduced by Sens. Ted Cruz (R-Texas) and Maria Cantwell (D-Wash.) last week. After the bill’s introduction last week, […]

Jun 2 • 6:05 PM EDT • Sports • sports.yahoo.com

iOS 27 is coming, here are five new features I’m most excited about

We’re days away from Apple’s iOS 27 unveiling on June 8 at WWDC. Here are five rumored new features in iOS 27 that I’m most excited about.

Jun 2 • 4:21 PM EDT • Technology • 9to5mac.com

The doubts and the positives

Liverpool fans have met news of an approach for Andoni Iraola in a mixed manner - with plenty of excited discussion and some concerns over his level of experience. BBC Sport asked fan writer Lola Katz-Roberts to unpick some of the key talking points. Liverpool managed to play two games a week quite successfully with a very similar style under Klopp.

Jun 2 • 1:25 PM EDT • Sports • sports.yahoo.com

US CDC Flags Health Risks Linked to Travel-Related Cosmetic Procedures

June 2 (Reuters) - The U.S. Centers for ⁠Disease ⁠Control and Prevention said on ⁠Tuesday that many Americans suffered serious complications — including bacterial infections and, in some cases, death — after traveling within the country and ‌abroad for cosmetic procedures. The agency ‌cited a study ...

Jun 2 • 1:16 PM EDT • Health • usnews.com

Our intern class arrives today, developing alongside the business

Northmarq is excited to welcome our 2026 intern class, which arrives today with a broader reach and greater depth than ever before.

Jun 1 • 2:35 PM EDT • Business • northmarq.com

Wellsville Central School District welcomes new School Business Official

WELCOME TO THE WELLSVILLE FAMILY, Mrs. Jennifer Jaquith ! From WCSD, We are so excited to announce the appointment of Jennifer Jaquith to the position of School Business Official. Her […]

Jun 1 • 12:04 PM EDT • Business • wellsvillesun.com

Latest Apple Glasses leak has me way more excited for the product

Apple’s planned strategy for Apple Glasses was detailed in a new report, and it has me way more excited for the product.

Jun 1 • 10:28 AM EDT • Technology • 9to5mac.com

9 Stamford businesses, 1 nonprofit cited for serious April violations

Eight Stamford restaurants, a nonprofit and a catering business were cited for serious violations during April health inspections, reports show.

Jun 1 • 5:00 AM EDT • Business • stamfordadvocate.com

New downtown business, Sanctuary Goods, excited for summer

Owner Stefan Bernardino said they’re especially looking forward to participating in the local arts scene, especially as the free shows at the Levitt At The Falls begin next week.

May 30 • 7:27 PM EDT • Business • dakotanewsnow.com

The Space in Cove hosts monthly vendor event

COPPERAS COVE — The Space in Cove hosted its monthly “Last Saturday Local Market” event, where around 21 different businesses were posted around the location and excited to show off

May 30 • 7:00 PM EDT • Business • kdhnews.com

Downtown business, Sanctuary Goods, excited for summer

Owner Stefan Bernardino said they’re especially looking forward to participating in the local arts scene, especially as the free shows at the Levitt At The Falls begin next week.

May 30 • 6:17 PM EDT • Business • dakotanewsnow.com

New downtown business, Sanctuary Goods, excited for summer

Owner Stefan Bernardino said they’re especially looking forward to participating in the local arts scene, especially as the free shows at the Levitt At The Falls begin next week.

May 30 • 6:17 PM EDT • Business • dakotanewsnow.com

Four New Console Features Begin Rolling Out Today For Xbox Insiders (May 29)

"We’re excited to hear what you think"

May 29 • 12:32 PM EDT • Technology • purexbox.com

Coming Soon: New Oura Features to Help You Stay Ahead of Your Health

We’re excited to bring a new suite of software innovation to the Oura App, including Health Radar, GLP-1 Insights, Live Activity Tracking, and more.

May 28 • 8:00 AM EDT • Health • ouraring.com

What do The Athletic’s writers think of the World Cup? ‘The ultimate sporting event’

We asked some of The Athletic's writers who cover other sports to share what they are excited about ahead of the tournament.

May 26 • 5:30 AM EDT • Sports • nytimes.com

Vikings QB Room Named One of the Worst in NFL

If you are excited about the Minnesota Vikings’ quarterback changes in 2026, mainly the addition of Kyler Murray, CBS Sports […]

May 25 • 9:35 PM EDT • Sports • sports.yahoo.com

CERN Physicists Observe New Exotic Particle

Physicists with the ATLAS Collaboration at CERN’s Large Hadron Collider (LHC) have observed the Bc*+ meson, an excited version of the Bc+ meson -- both consist of a charm quark and a bottom antiquark.

May 25 • 5:15 PM EDT • Technology • sci.news

CBS Stands Down After Outcry Over Stephen Colbert

The network elicited backlash following Colbert's surprise return to TV as a host after 'The Late Show' ended.

May 25 • 1:16 PM EDT • Entertainment • elpasoinc.com

CBS Stands Down After Outcry Over Stephen Colbert

The network elicited backlash following Colbert's surprise return to TV as a host after 'The Late Show' ended.

May 25 • 1:16 PM EDT • Entertainment • hastingstribune.com

CBS Stands Down After Outcry Over Stephen Colbert

The network elicited backlash following Colbert's surprise return to TV as a host after 'The Late Show' ended.

May 25 • 1:16 PM EDT • Entertainment • cbs19news.com

CBS Stands Down After Outcry Over Stephen Colbert

The network elicited backlash following Colbert's surprise return to TV as a host after 'The Late Show' ended.

May 25 • 1:16 PM EDT • Entertainment • themountaineer.com

Ex-Proud Boys leader Enrique Tarrio tells PBS News he believes he's owed tens of millions from DOJ fund

The former leader of the extremist, far-right group that played a major role in the Jan. 6 insurrection says he’s “excited” about the announcement of a $1.776 billion fund for people who believe they are victims of the justice system.

May 22 • 12:28 PM EDT • Politics • pbs.org

Teaching preschoolers with food boosts science learning

"We want to encourage kids to get excited about science and be curious about the world around them."

May 22 • 12:09 PM EDT • Science • futurity.org

Warhammer 40,000: Chaos Gate – Deathwatch: Redefined Brutal Turn-Based Tactics on XBOX

Complex Games Studio Head Jonas Van Niekerk lays out everything you need to know to get excited about the newly announced Warhammer 40,000: Chaos Gate - Deathwatch.

May 22 • 11:00 AM EDT • Technology • news.xbox.com

Smithfield Foods workers voice excitement for new Sioux Falls plant

"It's an excited group of people down here." As Smithfield Foods prepares to start work on its new plant, we spoke with some employees about the future move.

May 21 • 4:16 PM EDT • Business • siouxfalls.business

How America’s Leading Retail Banks Work to Understand their Small Business Clients and Build Frameworks to Support them Best

The Consumer Bankers Association (CBA) is excited to celebrate Small Business Month 2026 with a new series of blogs highlighting the many ways in which America’s leading retail banks are working to support small businesses on Main Streets across the country. This blog showcases how three CBA members – TD…

May 20 • 12:55 PM EDT • Business • consumerbankers.com

2026 National Defense Science and Engineering Graduate (NDSEG) Fellowship Award

Undergraduate senior biochemistry student Lillian Ott (Mohanty group) has been awarded the 2026 National Defense Science and Engineering Graduate (NDSEG) Fellowship, one of the country’s most prestigious honors for graduate students in the fields of Science, Technology, Engineering and Math (STEM). The program, jointly sponsored by the U.S. Army, Navy, and Air Force, supports doctoral students across a broad range of scientific and technological fields of strategic importance. This highly competitive fellowship provides full tuition, fees, and a monthly stipend for three years. In 2026, only 102 fellowships were awarded nationwide. Lillian also received an honorable mention for the prestigious National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP). Studying biochemistry at UCLA, Lillian became excited about how her physical science background could be applied to solve environmental issues. She joined the Subsurface Engineering Analysis Laboratory (SEA Lab) led by Professor Sanjay Mohanty in the Samueli’s Department of Civil and Environmental Engineering. In the SEA lab, she has studied the fate and transport of per and polyfluoroalkyl substances (PFAS). PFAS are ubiquitous “forever chemicals” and known carcinogens that impact water quality worldwide. This fall, she will begin her Ph.D. in Civil and Environmental Engineering at Stanford University with Professor Nina Zhao. Her research will be focused on metabolomics and the discovery of unrecognized chemical determinants of environmental and human health. “I have seen the serious and unforeseen environmental and health consequences from man-made chemicals like PFAS and microplastics, which are often only appreciated after the damage has been done. I hope that my research can lead to more sustainable chemical design and inform policy and solutions-based innovation in public health and water quality engineering,” Lillian said. Penny Jennings, UCLA Department of Chemistry & Biochemistry, penjen@g.ucla.edu.

May 19 • 5:20 PM EDT • Science • chemistry.ucla.edu

Quartz

Quartz is a guide to the new global economy for people who are excited by change. We cover business, finance, economics, technology, lifestyle, and leadership.

May 19 • 10:30 AM EDT • Health • qz.com

It’s the Most Hotly Contested Primary in America. Liberals Are Excited. They’re Getting It All Wrong.

The Epstein files, a MAGA civil war, and an alleged sex scandaled have turbocharged a House race.

May 19 • 5:40 AM EDT • Politics • slate.com

Carley Bayer joins Essentia Health-32nd Avenue Clinic to practice neurology

The Essentia Health-32nd Avenue Clinic is excited to welcome Carley Bayer, an advanced practice registered nurse and certified nurse practitioner in neurology.

May 18 • 5:46 PM EDT • Health • essentiahealth.org

Popular Thai-inspired cocktail bar in Highland Park temporarily closed by health department

A popular Highland Park cocktail bar that serves Thai street food-inspired fare has temporarily closed its doors after county health inspectors cited it for health code violations. The Goldfish at …

May 18 • 1:19 PM EDT • Health • ktla.com

Google hasn’t shown any reason for ‘Googlebook’ laptops to exist, so why should we be excited?

We’ve been hearing about Google’s behind-the-scenes work to move its laptop efforts over to Android, but now that we’ve seen...

May 17 • 12:00 PM EDT • Technology • 9to5google.com

Hundreds show up to support Rehovot businesses fined for opening on Shabbat

Ice cream parlor Otello and cafe Nook are cited after operating on Saturdays for over a year, leading residents to complain about uneven enforcement of Shabbat policy

May 16 • 8:00 PM EDT • Business • timesofisrael.com

This rumored MacBook Pro upgrade has me excited, and it has nothing to do with OLED

Later this year, Apple is set to debut its first MacBook Pro redesign since 2021. With that redesign, we’re expecting...

May 16 • 10:43 AM EDT • Technology • 9to5mac.com

Sports tourism continues record-setting pace of economic impact in Huntsville

Records are made to be broken and Huntsville’s sports tourism industry is setting the pace. For the fourth straight year, local events teamed to post record-breaking economic impact numbers, according to a report released Wednesday by the Huntsville/Madison County Convention & Visitors Bureau. And teamwork was cited as the key to the success as the […]

May 15 • 4:00 PM EDT • Sports • huntsvillebusinessjournal.com

Building Companies at the Edge of Science and Market - Life Sciences Today Podcast Episode 61

We're excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Jennifer Ernst, Co-Founder and CEO at

May 15 • 11:00 AM EDT • Science • healthcareittoday.com

2026 Academy of Country Music Awards: Shania Twain hosts the Vegas-set ceremony this weekend, with Megan Moroney and Ella Langley among the top nominees

Yahoo rounded up everything there is to know about the Academy of Country Music Awards on Sunday, from the evening's full roster of performers and nominees to who Twain is most excited to meet.

May 15 • 10:41 AM EDT • Entertainment • yahoo.com

Slimy lettuce, moldy jalapeños found during Reno health inspections

Four Reno restaurants were cited in late April for health code violations including improperly thawed tuna, slimy lettuce and visibly expired steaks.

May 15 • 8:03 AM EDT • Health • rgj.com

Google may finally have a true Nest Hub successor in the works

A seemingly new device called the 'Google Home Display' has leaked, and we're excited for what might be in store.

May 14 • 12:35 AM EDT • Technology • androidauthority.com

Community Health Alliance celebrates expansion of the Neil Road Health Center

"We're all very excited, because we kind of just never imagined that it would look like this," saidMaria Fernandez, medical director at the Neil Road Health Ce

May 13 • 11:09 PM EDT • Health • mynews4.com

World-famous Los Angeles Thai restaurant temporarily closed by health department

A Los Angeles Thai restaurant honored in the Michelin Guide and frequented by celebrities temporarily closed its doors after county health inspectors cited it for health code violations. Jitlada, a…

May 13 • 3:47 PM EDT • Health • ktla.com

Netflix Content Spend 2015-2025 Revealed By Ted Sarandos

The Netflix content spend from 2015-2025 has been revealed by Ted Sarandos, who cited success of 'KPop Demon Hunters', Money Heist' and 'Squid Game'

May 12 • 6:00 AM EDT • Entertainment • deadline.com

After lengthy absence, WFRV's Burke Griffin excited to be back on air

Longtime WFRV-TV sports director Burke Griffin had been off the air since last summer. He returned to the evening newscast on Monday.

May 11 • 10:16 PM EDT • Sports • greenbaypressgazette.com

WEBTOON Entertainment Q1 Earnings Call Highlights

WEBTOON Entertainment (NASDAQ:WBTN) reported first-quarter 2026 revenue that declined slightly from a year earlier, while profitability improved as the digital comics and storytelling platform cited stronger gross margins, cost discipline and growth in paying users. Founder and CEO Junkoo Kim said

May 11 • 10:14 PM EDT • Entertainment • finance.yahoo.com

Valkyries home opener brings excited fans, big business to Thrive City

Thousands of fans packed Chase Center for the Golden State Valkyries’ second-season home opener. Local businesses also saw a major boost from the game day excitement.

May 10 • 11:16 PM EDT • Business • ktvu.com

New Subnautica 2 gameplay teaser has just dropped and if you weren't excited before, you will be now

We're just days away from returning to the beautiful briny in Subnautica 2, and to celebrate, we've been treated to an …

May 9 • 2:17 PM EDT • Technology • eurogamer.net

David Attenborough, the excited but hushed voice of nature programs, turns 100

May 8 • 1:10 AM EDT • Entertainment • yahoo.com

Downtown bars win better business amid Wild and Wolves playoff runs

After a rough winter, establishments are benefiting from excited fan bases in both Twin Cities.

May 7 • 7:17 AM EDT • Business • startribune.com

Mamdani’s tax the rich slogan is ‘just as hateful’ as racial slurs, New York real estate titan says

No one likes higher taxes. But New York City Mayor Zohran Mamdani’s plan to tax wealthy residents’ second homes has elicited a highly emotional response from two of the city’s richest.

May 6 • 2:29 PM EDT • Business • cnn.com

Star Wars: Fate of the Old Republic announced its dev team, and it's full of Mass Effect and KotOR BioWare talent — now I'm even more excited for the RPG

The next big Star Wars RPG is being worked on by several veteran KotOR and Mass Effect devs.

May 5 • 2:56 PM EDT • Technology • windowscentral.com

38 Fairfield eateries cited for serious health violations in March

Out of 77 total inspections, 38 eateries in Fairfield were cited for serious health violations, including two schools and one daycare.

May 4 • 5:00 AM EDT • Health • ctinsider.com

2.3K views · 28 reactions | Spirit Airlines has announced it's going...

Spirit Airlines has announced it's going out of business after 34 years. The low-cost US carrier says all its flights have been cancelled as it begins an "orderly wind-down of operations." It cited...

May 3 • 5:14 PM EDT • Business • facebook.com

From 'Moana' to 'Leviticus,' Here Are Summer Movie Breakouts You Need to Know

The new Moana. The 20-year-old wunderkind filmmaker. The multi Tony Award winner. The “Saturday Night Live” comedians. The next generation of Emilys. And the Australians at the heart of one of Sundance’s biggest hits. There’s more than a few up-and-coming talents to get excited about in the movies ...

May 1 • 11:39 AM EDT • Entertainment • usnews.com

DJ Khaled Reacts to Justin Bieber Performing Their Hit 'I'm the One' at Coachella: 'My Phone Blew Up' (Exclusive)

"That's my brother and I'm very grateful for everything that we've done together and I'm excited to do more," Khaled told PEOPLE at the VCARB Livery party

Apr 30 • 7:15 PM EDT • Entertainment • yahoo.com

Xbox Mode Begins Rolling Out to Players on Windows 11 PCs Today

Beginning today, we’re excited to share that Xbox mode will begin rolling out to Windows 11 PCs, bringing a console-inspired Xbox experience to more players than ever.

Apr 30 • 3:00 PM EDT • Technology • news.xbox.com

Unknown Worlds / Subnautica 2 Early Access Cinematic Trailer Released

We’re excited today to debut the Subnautica 2 Early Access cinematic trailer 🎉

Apr 30 • 8:00 AM EDT • Technology • unknownworlds.com

Viewpoint: A career in science is possible, and worth it

Starting a career in science is exciting, but also demanding, with researchers often faced with intense competition, long working hours and high levels of stress. A pioneer in the field of mass spectrometry, Carol Robinson has been there. She speaks with Science|Business on the importance of creating a supportive environment, particularly for women.Robinson did not wake up one day thinking that she would become a scientist. It was only late in school that she developed an interest in chemistry. “The more you work at something, the more you think, actually, this is fascinating. So, I went much further and deeper than I ever needed to pass the exam. And then I loved it,” she says. “I thought, I’m going to give it my all. I’m going to enjoy it while I’m here. But I didn’t think this would be my career for 50 odd years.”She left school at 16 to become a lab technician with the drug company Pfizer, which is where she first worked with mass spectrometry. Fascinated, she was encouraged to take a part-time degree and then a PhD. She went on to do pioneering work in native mass spectrometry, a technique that is used to study protein structures in their natural state, paving the way for breakthroughs in drug discovery. She also broke new ground by becoming the first female professor of chemistry at the University of Cambridge, and then the first female professor of chemistry at the University of Oxford, her current home.She now wants to show young researchers that a career in science is worth it. “Sometimes, I believe the culture isn’t very encouraging, and that’s something I have worked on,” Robinson says.In 2021, she launched the Kavli Institute for Nanoscience Discovery at Oxford, whose acronym gives a sense of what she hopes it will achieve. “Maybe it is corny,” she says. “It’s just a reminder that I would like it if we could all be kind to each other and supportive, especially for early-career researchers of either gender, because there’s quite a big attrition rate in science, and maybe it just doesn’t feel like a very friendly place to work.”And yet, a career in science comes with a lot of flexibility. “There are few careers where you have that amount of freedom, to go to conferences, to the library. Just because you didn’t see me didn’t mean I wasn’t working,” she says. “And I’m excited to come in every day. So, I don’t want people to think it’s a terrible place.”Gender equality is also important when it comes to the quality of science as a career. “The more women we have, the better it becomes,” Robinson adds.Imposter syndromeAccording to EU data, women outnumber men in university education but account for just about a third of graduates in science, technology, engineering and mathematics (Stem). And while the number of women working as scientists and engineers in the 27-member bloc is on the rise, their representation remains below that of men, at 41%. This discrepancy is even more pronounced in top-tier functions across these fields, where women fill just 20% of positions.Having supervised many young scientists, Robinson sees that women continue to have a greater propensity than men to doubt their abilities, a feeling she once shared. “When I was doing my PhD at the University at Cambridge, I really felt like an imposter,” she says. “I don’t think I ever felt I deserved to be there or owned it and was proud. I just thought I was lucky.” Later on, she adds, “I was always that person who said, I can’t apply yet because my CV is not strong enough.”She has now made it her job to encourage women to break with this imposter syndrome. For example, rather than calling for volunteers to give a lecture in the groups that she mentors or teaches, which nearly always results in men stepping forward, she goes straight to the women, “because I know they won’t push themselves forward.”But the gender gap in science is not just down to imposter syndrome. The “obvious” reason, Robinson says, and the reason that is on everybody’s mind when discussing workplace gender equality, is the balance between work and raising a family. Her own path was to choose between the two, taking an eight-year break after completing a postdoctoral training fellowship to bring up three children. And she continues to advise women not to work part-time while they raise a family. “You’ll just get half the pay and continue to work full-time because you are not able to fit everything in,” she says. “You should be able to have a family and come back to have the career that you want.”The solution is for men to also take career breaks. “That kind of evens it up, so that it’s not such a big thing for women,” Robinson says. “I always encourage men in my groups to do that. I think it’s important to take your share of the duties.”Support produces resultsAccording to the Women in Stem Network, a UK advocacy group, countries with strong childcare systems and equal pay policies retain more women in technical careers. In Europe, these are primarily found in the Nordic region and parts of central Europe.At the EU level, the European Commission asks all Horizon Europe applicant organisations to have a gender action plan in place. Since this criterion was introduced in 2021, the share of women leading consortia has increased to 31%, against 23% in Horizon 2020. Their overall participation, however, has risen just 1%, to 38%. After trying to weaken the requirement for gender action plans in 2025, the Commission now intends to adopt a plan for supporting women in research and innovation.Related articlesCommission scraps plan to water down gender requirements in HorizonHow gender balance can swing who wins Horizon Europe fundingRobinson herself has benefited from three Advanced Grants from the European Research Council. “I was extremely honoured and privileged to get those, because they really allowed me to fuel my passion,” she says. “Without that, it would have been a much harder slog.”Beyond applying gender rules, she says that more work is needed on translational enterprise, where women are, once again, largely underrepresented. The European Patent Office found that only 13.8% of applications were filed by women in 2022. “We have so many more women doing amazing science; why do they feel it’s not a thing to have a company?” she asks.She founded her own spin-out company, OMass Technologies, in 2016, and remains chair of its scientific advisory board now that it trades as OMass Therapeutics. As for research, Robinson is now studying how changes in the brain may be linked to depression, using port-mortem tissue. “We’re hoping to publish soon,” she says. “We had to consult with a lot of people who knew a lot more about the brain than we did. So, we’ve learnt a lot, and that’s always a lot of fun to learn a new thing. That’s what keeps you going.”

Apr 29 • 8:00 PM EDT • Science • sciencebusiness.net

Indiana government, sports leaders kick off Indy 500 celebrations

Indiana government and sporting leaders gathered on Wednesday — along with a crowd of excited Hoosiers and lively mascots — to kick off "Month of May" festivities for the 110th running of the Indianapolis 500.

Apr 29 • 8:00 AM EDT • Sports • indianacapitalchronicle.com

Report: iPhone Memory Costs Set to Quadruple by 2027

Memory could account for as much as 45 percent of an iPhone's component costs by 2027, up from around 10 percent today, according to a JPMorgan analysis cited by the Financial Times ($). Apple buys memory for roughly 250 million iPhones a year and has historically been one of the largest customers in the category. But Apple has reportedly now gone from a position where it could set terms to one where it now has to compete with rivals for supply.

Apr 29 • 6:14 AM EDT • Technology • macrumors.com

The 20 Netflix Is a Joke shows we're most excited for this year

The 20 Netflix Is a Joke shows we're most excited to see this year, from Ralph Barbosa to Seinfeld to Atsuko Okatsuka and Flight of the Conchords.

Apr 29 • 6:00 AM EDT • Entertainment • latimes.com