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I let robot-trainers clean my apartment for free
I invited cleaners and a chef from the startup Shift into my New York apartment. They worked for free — but recorded the process to train AI robots.
Ukraine turning robots into mobile weapons to hunt Russian targets
Ukraine's Frontline Robotics makes a remote weapons station that used to be stationary but can now be put on a robot to make a "small tank."
Three-armed Sashimi-Bot learns to slice and serve fish like a pro
If you ever need help in the kitchen cutting fish into appetizing bites, a new three-armed robot may be able to help. And that's no easy feat for robots. While they are generally good at picking up rigid ...
Waymo recalls 3,871 robotaxis over software issue
This is Waymo's second recall this year, following a May recall tied to one of its robotaxis entering a flooded roadway.
It's a tech 'Toy Story'
It's not Rock 'Em Sock 'Em Robots or a round of Hungry Hungry Hippos, yet there's definitely a battle to be had in "Toy Story 5."
Waymo recalls nearly 4,000 robotaxis after cars enter freeway work zones
Waymo has paused freeway robotaxi operations and recalled nearly 4,000 vehicles after more than a dozen incidents involving autonomous cars entering closed construction zones.
Advanced Tech on Station Informing Space-Designed Health Treatments
The Expedition 74 crew explored how weightlessness affects cartilage growth and the digestive system on Thursday to protect crew health and improve patient care on Earth. The orbital residents are also gearing up for a robotics maintenance spacewalk at the end of the month on the International Space Station.
Advanced Tech on Station Informing Space-Designed Health Treatments
The Expedition 74 crew explored how weightlessness affects cartilage growth and the digestive system on Thursday to protect crew health and improve patient care on Earth. The orbital residents are also gearing up for a robotics maintenance spacewalk at the end of the month on the International Space Station.
This Ghost in the Shell keyboard makes me want to activate the hundred spidery robot fingers inside my regular fingers
Ghost in the Shell: Stand Alone Keyboard
Mobileye To Establish Vertically Integrated Robotaxi Business
New initiative extends Mobileye beyond self-driving-system supply and is additive to existing automaker and mobility-partner programs
Autonomous labs are running science experiments 24/7
Robots and AI are running experiments around the clock, from battery chemistry to cancer therapies. But can they be trusted to get it right?
This strange material can become strong or fall apart in seconds
Scientists have found that staple-shaped particles can tangle together to create a material that is both strong and flexible. Unlike conventional materials, these particles can be locked into a sturdy structure or rapidly unraveled using vibrations. The unusual behavior could open the door to recyclable buildings, reconfigurable structures, and even futuristic robotic technologies.
North Canyon Medical Center and All Access Hosted by Andy Garcia Highlight Rural Healthcare Infrastructure and Advanced Robotics
As rural medical facilities face increasing operational challenges, North Canyon Medical Center joins the award-winning series, "All Access Hosted by Andy Garcia," to explore how technical innovation and organizational agility stabilize local economies and healthcare access.
68 quadrillion underground miles of fungi
With machine learning and a high-resolution imaging robot, scientists measured and mapped the extent of Earth’s carbon circulatory system.
Why Robots Still Can't Do Science
Why Robots Still Can't Do Science: AI can read the literature in an afternoon and design molecules a chemist never would. So why can't a robot hold a pipette?
Scientists Measure Earth’s Vast Underground Fungal Webs
With machine learning and a high-resolution imaging robot, scientists measured and mapped the extent of Earth’s carbon circulatory system.
Scientists discover a strange property in rice and turn it into a smart material
Scientists discovered that rice behaves in a highly unusual way: it weakens under rapid compression but stays stronger when pressure is applied slowly. Using this effect, they engineered a new material that reacts differently to gentle movements and sudden impacts. The material can adapt its stiffness automatically, opening the door to safer soft robots and protective equipment that responds instantly to collisions.
A classic brain test exposed AI's biggest weakness
Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearly complete failure.
CSUF computer science grad finds community and a career path
Mason Jennings has developed an AI-powered robotic dog to inspect short-term rental properties.
Makerspaces for Science: AI and Robotics at Argonne
Do robots have temper tantrums? When will I get a robot to do my laundry? What should the next generation do to become experts in AI and robotics?
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.
Robot.com CEO wants to automate the work that makes people quit
Robot.com CEO Felipe Chavez said he wants to build an ecosystem of robots that will handle boring, repetitive tasks.
Inside Intel's AI chip factory where humans are the greatest threat
I visited Intel's massive chip factory in Oregon, where robots outnumber people and a single human hair or skin particle can cause costly damage.
Robotic Spacecraft for Swift Boost Mission Arrives at NASA Wallops
The LINK spacecraft designed to capture and boost NASA’s Swift observatory arrived at the agency’s Wallops Flight Facility in Virginia on Friday, June 5.
Entertainment Veteran’s Venture Fund Unveils First AI Bets
Hallstone Ventures' initial portfolio includes investments in cinema-grade robots and human authentication tech
Scientists are teaching AI-powered robots to run lab experiments
Scientists are building autonomous robotic labs powered by artificial intelligence. The goal, they say, is for these robots to take over human researchers' most laborious, time-consuming tasks.
Microrobots that could heal spinal injuries
Promising lab results for ‘microscopic repair crews, guided by magnets’
Medtronic CEO says their core business is 'growing well'
Medtronic CEO Geoff Martha joins CNBC's ‘Squawk on the Street’ to discuss the company’s latest quarter, future of robot-assisted surgery, growth strategy, and more.
Silicon Valley's new slogan: Let's get physical
Silicon Valley's AI boom is moving into robotics as OpenAI, Meta, Tesla, and startups race to give AI a body.
Sam Altman is backing a startup that's building software for robots and cars
A former Tesla designer's startup has won investment from Sam Altman and other top investors as money floods into physical AI.
Tesla Stock Drops. OpenAI Is Coming for One Line of Its Business.
OpenAI wants to get into humanoid robots, just like Tesla.
Virtual farms created from real-world tomato farm images
The virtual environment (left) is created using real-world tomato farm images (right) manually obtained from camera data collected by agricultural robots.
Tesla has far fewer autonomous vehicles on Texas roads than Waymo
In January, Tesla said that some of its robotaxis in Austin have begun operating without a human chaperone.
Scientists found the optimal robot body, and it has 20 legs — watch it scale walls and move through trees
A sea-urchin-like robot could offer a new blueprint for making more versatile robots, research suggests.
Waymo launches spacious Ojai robotaxi in major cities. We tested it.
Waymo introduced the Ojai robotaxi for spacious rides in San Francisco, Phoenix, and Los Angeles. We tested it out and brought our suitcases.
Mint and Rice Robotics Launch Joint Venture to Expand AI Companion Robot Business with HK$15M in funding
Hong Kong, May 28, 2026 (GLOBE NEWSWIRE) -- Mint Incorporation Limited (“Mint” or the “Company”, together with its subsidiaries, the “Group”,...
NSF deploys $250 million to restart Small Business Innovation Research & Small Business Tech Transfer programs, including a new $40 million pilot emphasis on next-generation scientific instrumentation
The U.S. National Science Foundation today relaunched its Small Business Innovation Research/Small Business Technology Transfer programs with $250 million for the nation's startups and small...
Robotics, Science Underway as Cosmonauts Prep for Wednesday Spacewalk
Robotics controllers wrapped up a weekend of swapping scientific hardware packed inside the SpaceX Dragon cargo spacecraft’s trunk for installation on the International Space Station. Meanwhile, the Expedition 74 crew is continuing its biotechnology and botany research while getting ready for a spacewalk scheduled for Wednesday, May 27.
Why interdisciplinary science is needed more than ever
Solving today’s complex problems requires teams of scientists from a range of disciplines
Bernie Sanders warns of 'the most transformative economic revolution in the history of this country'
Sen. Bernie Sanders warned that AI and robotics controlled by billionaires could replace American workers and harm children's social development.
6 kitchen gadgets that make adulting feel easier
From a robot stirring your soup to a bread machine that kneads your dough, here are 6 gadgets that may make you feel like you’ve won adulthood.
JPL's management contract is suddenly up for grabs for the first time since the 1930s, and NASA's own language shows why this is more than a routine procurement fight
For the first time since the Jet Propulsion Laboratory’s origins in the 1930s, Caltech’s hold on one of the most important institutions in American robotic space exploration is no longer automatic. NASA has announced that it will compete the next contract for managing and operating JPL, the federally funded research and development center in Southern […]
A Colorado startup just raised $30 million on a quiet bet that astronauts won't actually be the ones building the moon's first permanent base — robots will get there first
The first permanent structures on the moon will almost certainly be built by robots, not astronauts. That is the bet Lunar Outpost, a Colorado-based robotics company, just convinced investors to back with a $30 million Series B — funding aimed at delivering a new lunar rover called Pegasus by the end of 2027, with a […]
Crew Conducting Advanced Health Research and More Spacewalk Preps
Four Expedition 74 astronauts had a light duty day with an array of advanced research still scheduled for Thursday. The three cosmonauts aboard the International Space Station focused on ongoing spacewalk preparations and robotics training.
NYC Health + Hospitals Marks 10 Years of Robotic Surgery, Completing Over 20,000 Procedures - NYC Health + Hospitals
New York, NY — NYC Health + Hospitals today announced it had completed over 20,000 robotic surgeries since 2016, marking a decade of expanding access to
I Hiked Using Robot Legs in the Grand Canyon. I Didn’t Even Need My Cane
After testing out the Hypershell X Ultra S exoskeleton on a Grand Canyon hike, I learned that this tech is a tool, not a cure for my disability. Here’s what it can do for you.
Astrobiology Science Conference (AbSciCon26) Media Tips 2: Technosignatures, Life in Space, Existential Questions, Robot Explorers
The 2026 Astrobiology Science Conference hosted by the American Geophysical Union (AGU) will convene next week
China unveils a giant rideable robot straight out of sci-fi movie
A Chinese robotics company has started selling a giant pilotable robot. It costs €500,000, walks on two legs, and can also smash through walls. Welcome to the future?
Silicon Valley's latest binge-watch is a humanoid warehouse worker
Figure AI's livestream of a humanoid robot sorting packages drew millions of views, and showed the promise and limits of warehouse automation.
Google's May Android Canary update brings the blur
Google's got a new bleeding-edge release ready for testers, with Android Canary 2605 now available for the Pixel 6 and newer.
Japan runs out of robot wolves in fight against bears
The handmade, $4,000 Monster Wolf features solar panels, sensors, and intimidating audio.
Engineering a Legacy: Meet the Boca High Science Olympiad Star Senior
Senior Spotlight: Ryan, Boca High. 5x Science Olympiad champ & robotics star. Off to Georgia Tech for Engineering!
Robot seal to help mental health patients in Kent and Medway
The robotic seal Sammy will be present at mental health patient appointments to reduce anxiety.
Teen builds ‘Bionic Underwater Robotic Turtle’ to detect ecological threats
High schooler Evan Budz's award-winning invention can identify coral bleaching, invasive species, and microplastics without disturbing marine ecosystems.
iRobot announces eight smaller and better Roomba bots after bankruptcy
It’s only a few months since iRobot filed for bankruptcy, but it has now re-emerged under new ownership and announced...
Unitree Robotics unveils GD01, world’s first production-ready manned mecha
Unitree Robotics unveiled the GD01 on Tuesday, a manned transformable mecha priced from 3.9 million yuan ($650,000), quickly sparking heated discussion on Chinese social media, with many netizens describing it as highly futuristic and saying it felt like “science fiction becoming reality.”
Battlestar Galactica: Scattered Hopes review - an iffy take on the sci-fi series that had me contending with Cylons, sabotage, and STDs
Battlestar Galactica: Scattered Hopes is an engaging roguelike that quickly shows itself to be a bit robotic
The next Stellar Blade probably won't be PS5 exclusive, as developer Shift Up reveals intention to self-publish and reach a broader audience
Korean publisher and developer Shift Up has revealed that it wants to publish the Stellar Blade sequel itself, leaving PlayStation exclusivity in question.
Trump and Xi’s Uneven Relationship Faces a Stress Test
Plus, humanoid robots rake in cash, Pope Leo’s influence, and the paradox of bowling.
Blake Dowling: Robots — the future is here!
Humanoid robots move closer to homes, workplaces and everyday American life.
Golf simulator helps Henrico students learn math, science, and coding
Fairfield Middle School uses a golf simulator to teach math, science, coding, and robotics through hands-on STEAM lessons.
WellSpan Health Unveils First-of-Its-Kind Full-Service Robotic Kitchen
WellSpan Health York Hospital has introduced Fresh Take Eatery, an AI‑powered robotic kitchen that provides 24/7 access to hot, healthy meals.
Upfront costs of robotic heart surgery are high—but it may be a smart investment
Makoto Hashimoto, MD, PhD, said robotic procedures are associated with a faster recovery time and many other potential benefits.
PHOTO GALLERY: Cardiac surgery technologies at the AATS 106th Annual Meeting
A wide variety of technologies, including robotic systems, heart valves, stent grafts, retractors and annuloplasty rings, were on display in Chicago.
The farthest probe from Earth faces its most dangerous mission yet - Futura-Sciences
From Sci-Fi to Reality: The Launch of Voyager 1 Back in 1977, the world was grooving to new hits, and in cinemas, moviegoers were captivated by laser swords and beeping robots in a galaxy far, far away. Meanwhile, far from the silver screen, NASA was embarking on its own space...
U.S. Embassy Supports Tunisian Business Delegation at 2026 SelectUSA Investment Summit - U.S. Embassy in Tunisia
U.S. EMBASSY SUPPORTS TUNISIAN BUSINESS DELEGATION AT 2026 SELECTUSA INVESTMENT SUMMIT The SelectUSA Investment Summit is the premier U.S. investment event, connecting thousands of investors, companies, economic development organizations, and industry experts to make deals happen. Media Note TUNIS, May 5, 2026 – U.S. Embassy Tunis is pleased to support a delegation of 11 Tunisian companies traveling to the United States to participate in the 2026 SelectUSA Investment Summit at National Harbor, Maryland, May 3-6, 2026. The Summit is an opportunity for these dynamic entrepreneurs to establish new connections and explore business and investment opportunities in the United States. This year, three Tunisian women entrepreneurs and members of the delegation representing Spiraw and Sotetel were accepted into the Select Global Women in Tech year-long mentoring program which will kick off at the summit. Since 2022, more than 50 Tunisian entrepreneurs in fields ranging from e-gaming, robotics, software engineering, coding, online fashion, and green tech have participated in SelectUSA Investment Summits, where they have taken their businesses to the next level. Hosted by the U.S. Department of Commerce, the SelectUSA Investment Summit is a one-stop shop for companies considering expanding to the United States and provides economic development organizations (EDOs) with the opportunity to meet directly with international companies to facilitate investment deals. Since inception, the SelectUSA Investment Summit has attracted tens of thousands of companies and economic development representatives, generating over $250 billion in new investment projects that support more than 125,000 jobs across the United States and its territories. The previous SelectUSA Investment Summit saw record-breaking numbers with more than 5,500 participants, including EDOs from 54 U.S. states and territories and over 2,700 business investors from 100+ countries, including Tunisia. The following Tunisian businesses will take part in this year’s SelectUSA delegation: AquaDeep – Revolutionizes aquaculture with AI-powered monitoring solutions, including a real-time larva counting system and a SaaS platform for environmental monitoring. The company is expanding operations across Tunisia, Europe, Africa, and the United States. Bouraoui Group – Specializes in event venues, hospitality experiences, innovative real estate development, and technology driven customer solutions. The business develops experience- focused and tech enabled lifestyle destinations that combine entertainment, culture, retail, and smart services, and is seeking international partners to co-develop hospitality, PropTech, smart retail, and experiential digital projects. Digital Cook – Builds HR and recruitment software solutions, including HRMS, ATS, and custom tools that streamline hiring, employee management, and talent development. It provides custom software, system integration, and scalable HR platforms for SMEs, large enterprises, and recruitment agencies seeking efficient, user-friendly ways to manage their workforce and improve recruitment. El Kanaouet – Provides high-quality and low-cost hydraulic infrastructure for the supply and distribution of drinking water. The company manufactures prestressed concrete structures based on current technological developments in the field and trends in integrated and digitalized management. El Kanaouet aims to enter the U.S. market with its production of centrifugal prestressed concrete pipes and other technical products and services. Fluoink Nanotechnologies – A deep‑tech startup developing next‑generation antimicrobial additives for paints, coatings, and industrial materials, enabling everyday surfaces to act as long‑lasting barriers against harmful bacteria and pathogens without changing their appearance or performance. Mare Custos – A subsea robotics company specializing in ROV-based underwater inspection services for offshore energy, ports, and marine infrastructure, using high-precision imaging, PAUT, and NDT to inspect structures in challenging conditions. SmartMed SA – A fast-growing digital health company operating in Tunisia, Algeria, and Morocco, offering an integrated ecosystem that helps patients book appointments (MedPro), enables clinics to digitize workflows and EMRs (MedLink), and supports targeted digital marketing for healthcare and pharma (MedAds). With millions of appointments and users, SmartMed has become a leading e-health platform in North Africa. Sototel – Builds telecommunications networks and services, including fixed, radio, and mobile networks. Sototel focuses on technological innovation and continuous improvement, providing high-value-added digital solutions. SOTUPRIN HGE – Specializes in manufacturing household electrical appliances under the brand HGE and OEM. Expanded from the local market to North Africa, Central Africa, the Middle East, and Europe. Spiraw by Food4Future – Designs and manufactures smart, AI-powered cultivation systems allowing individuals and businesses to grow fresh, highly nutritious food – starting with spirulina – directly at the point of consumption. Combining patented hardware, controlled-environment agriculture, and a connected app with an AI assistant, Spiraw aims to decentralize food production and create a new category at the intersection of agri-tech, consumer health, and smart home ecosystems. WaterSec (Istidama) – A climate-tech startup that uses IoT, AI, and smart sensors to help high consumption facilities (such as industries, hotels, and commercial buildings) monitor water use in real time, detect leaks, and optimize consumption. The company’s digital platform turns raw water data into alerts and actionable insights, making water management more transparent, proactive, and sustainable. Learn more about the SelectUSA Investment Summit at https://www.selectusasummit.us/. Follow live developments from the summit on X at https://x.com/SelectUSA.
At ORNL, Science Never Sleeps
At Oak Ridge National Laboratory, scientists are building the next generation of research: self-driving labs powered by AI, robotics and high-performance computing. Autonomous systems run continuous “design, build, test, learn” cycles to analyze data in real time and guide experiments.
Global Health & WASH: May 2026 Funding Opportunities (14 new opportunities!)
The May update for Global Health & WASH brings new calls that cluster around three distinct shifts: LMIC research leadership moving from funder encouragement into a hard eligibility constraint, pharmaceutical and corporate-linked funders running structurally independent education and use-inspired research portfolios at substantial scale, and AI adoption shifting decisively from speculative tool to operational capability across health and WASH systems alike. In LMIC Research Leadership as Eligibility, Not Encouragement, Wellcome anchors the dominant signal of the month with three separate major calls that all require or strongly center LMIC leadership in their basic eligibility architecture. Wellcome’s ESIC Hubs (£1.5-£1.9M per hub over 3-5 years) explicitly requires an LMIC-based lead applicant, treating Global South leadership as a design constraint rather than a participation goal. Wellcome’s Infectious Disease Clinical Trial Development Award funds transdisciplinary teams whose lead must be a mid-career or established researcher based at an organization in Africa, South Asia, or Southeast Asia. Wellcome’s larger Infectious Disease Clinical Trial Award (£1M-£8M for optimizing licensed interventions) requires the administering organization to be in eligible LMIC regions and at least 50% of applicants based there. Around Wellcome, the same pattern shows up at smaller scale and across funders: CHINNOVA channels $1M into West and Central African research institutions for climate-health work; IBRO’s Neuroscience Training Grants explicitly tier ceilings by region of residence with Africa receiving the highest amount ($5,000); IHME’s GBD Emerging Researcher Award reserves at least one of its two annual awards for an LMIC researcher; Sidaction’s HIV Cure call funds research teams across France, the Netherlands, and eligible African countries with a minimum two-country collaboration requirement. Taken together, these calls signal a meaningful shift in how research equity is being operationalized — not as encouragement language at the bottom of a call, but as a structural feature of who can lead, where the work must be administered, and what proportion of the team must be regionally rooted. In Pharma-Funded Independent Medical Education and Use-Inspired Research, the lineup this month is unusually deep. Pfizer alone runs four parallel calls under independent education and quality improvement frameworks: a Migraine and Women’s Health RFP (200K x 2-year, $500K pool), Migraine IME ($200K, $1M pool), JAK Inhibitor evidence-based education ($100K), and Maternal Vaccination HCP Education in Saudi Arabia ($75K), plus a separate Pediatric Pneumococcal Surveillance research call in Saudi Arabia ($400K per project). Novo Nordisk Foundation runs four parallel calls of its own at substantial scale: Infectious Diseases Catalyst Grants (DKK 60M pool, up to DKK 7M collaborative), Non-Diabetic Endocrinology Collaborative Grants (DKK 53M pool, DKK 5-10M per project), Pioneer Innovator Grant Health (DKK 1.1M), and Distinguished Innovator Grant Health (DKK 6.8M). LEO Foundation deploys DKK 2-4M per project for dermatology research excellence. Pfizer’s framing across calls deliberately separates the funding from product promotion, emphasizing measurable practice-relevant change and structural distance between scientific outputs and commercial activity. Novo Nordisk’s “use-inspired” hard filter pushes researchers toward a credible translation pathway from mechanism to deployable tool. The pattern: industry-aligned funders are running structurally independent portfolios at meaningful $ that fund implementation evidence, not promotion. In AI as Operational Capability, Not Speculation, several calls this month explicitly treat AI adoption as a near-term operational question with real evidence and governance requirements, rather than a speculative trend to be watched. Wellcome’s ESIC Hubs frames AI as “the accelerator” for evidence synthesis, asking hubs to translate technical innovation into adoption-ready workflows that can match real-world policy timelines. UNICEF Venture Fund’s new Climate Tech for Children’s Health call funds for-profit startups deploying AI, machine learning, and blockchain in low-resource environments, with a strict requirement that solutions must already have a working prototype with promising pilot results. The Water Research Foundation has launched two simultaneous AI calls treating reproducibility, cybersecurity guardrails, and human-in-the-loop deployments as core design constraints rather than nice-to-haves: one on GenAI and Agentic AI in water utilities ($200K), one on alternatives to water shutoffs that explicitly screens for implementation economics evidence. Nordic Innovation’s quantum technology call (NOK 4.5M) extends the same logic into life science and healthcare, demanding consortium-stage projects mature enough to test with real users. TEF-Health offers €300K in subsidized testing infrastructure for European healthcare AI and robotics SMEs. The pattern: funders are converting AI pilots into playbooks, requiring transfer evidence and risk controls before AI can move from experimentation to sector-wide operational practice. For LMIC-based researchers in infectious disease or evidence synthesis, the three Wellcome calls together represent the deepest concentration of LMIC-led research capital in recent memory — pair the Infectious Disease Clinical Trial Development Award (£200K, deadline May 19) as a strategic pipeline feeder into the larger Infectious Disease Clinical Trial Award (£1-£8M, deadline June 2), since the development award functions explicitly as a track into the larger trial scheme. For Nordic researchers, the four Novo Nordisk Foundation calls plus LEO Foundation and Nordic Innovation Quantum represent ~$30M in regional research capital this cycle, all with deadlines clustered in May-August. For WASH practitioners, the three Water Research Foundation calls together (each up to $200K) are a cluster worth reading across — one on AI deployment, one on shutoff alternatives, one rewarding applied innovation — and the strongest applicants will articulate how their work bridges utility operations to policy-relevant evidence. For US-based clinical researchers and educators, the four Pfizer calls plus the APF Portfolio’s 80+ programs form an unusually accessible recurring pipeline; APF’s prohibition on indirect costs is a meaningful structural feature for early-career applicants whose institutions might otherwise absorb significant overhead. Snapshot of New Opportunities Total Estimated Funding Pool: $100 Million+ USD The grants are organized into three categories: Open Calls: Current grant and opportunities with a deadline. Grants are listed by closing date. 39 open opportunities- 14 new! Rolling Applications: current grant and opportunities with rolling applications (but it’s still best to submit as early as possible). 14 rolling opportunities- 1 new opportunity! Long term planning: Grants that have closed their current rounds, but are expected to open new windows. 4 long term opportunities! A quick tip for returning readers: if you want to jump straight to the newest additions, use CTRL F to search for “New!” and navigate quickly to the latest funding opportunities This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Calls: Migraine Competitive Grant Program: Migraine and Women’s Health (Quality Improvement and/or Research RFP), Pfizer.*Closing soon!* Pfizer, in collaboration with the American Headache Society, is seeking independent quality improvement and research projects that close persistent gaps in migraine care for women across the United States. The funding logic centers on measurable, practice-relevant change: proposals should generate actionable evidence, tools, or system improvements that can be shared and used widely, not just within a single site. Priority areas span menstrual migraine and screening in women’s health settings, the role of hormonal fluctuations across the lifespan, sex-specific risk factors, comorbidities and quality-of-life burden, and disparities in outcomes by race, ethnicity, and socioeconomic status. The call is structured as a two-step competitive process with an initial Letter of Intent, with the strongest concepts expected to translate scientific insight into implementable improvements in diagnosis, management, and equity. Geographies: United States. Who can apply: U.S.-based organizations (not individuals), including professional schools, healthcare institutions, professional organizations, and other entities focused on healthcare improvement. Funding amount: Up to USD $200,000 total over 2 years; total pool USD $500,000. Targeted Sectors / SDGs: Health; Focus areas: migraine, women’s health, quality improvement, clinical research, menstrual migraine, health disparities. Deadline: LOI: May 5, 2026; Full proposal (by invitation): August 28, 2026. Learn more and apply here. This RFP rewards “shareable impact”: the most competitive submissions will pair rigorous methods with a clear plan for system uptake and dissemination beyond the originating institution. ReSSARC: Strengthening the Health Sector and Food Security in the Central African Republic (AID 013381/01/0) Call for Proposals, Italian Agency for Development Cooperation (AICS). *Closing soon!* AICS is seeking a limited set of high-capacity humanitarian partners to deliver an integrated package that stabilizes essential health services while reducing acute malnutrition and strengthening food security resilience in priority areas of the Central African Republic. The funder’s logic is explicitly nexus-based: proposals should meet urgent, life-saving needs while reinforcing local systems, coordination mechanisms, and community-level capacity so results persist beyond the emergency window. AICS emphasizes inclusion and protection outcomes, expecting gender-sensitive design and explicit measures for groups facing compounded vulnerability, including women, children under five, internally displaced people, and people with disabilities. The call also signals a localization pathway, encouraging stronger collaboration with national NGOs and balanced partnerships, alongside clear coordination with existing cluster and humanitarian actors to minimize duplication and improve coverage. Geographies: Central African Republic (Bangui, Ombella-Mpoko, Ouham, Ouham-Pende, Lim-Pende, Lobaye). Who can apply: Non-profit organizations registered with AICS, plus eligible non-profits without an office in Italy that have a pre-existing collaboration agreement with an AICS-listed organization. Funding amount: Total pool EUR €1,800,000; max EUR €800,000 (single applicant) or EUR €1,000,000 (ATS). Targeted Sectors / SDGs: Health; Focus areas: malnutrition prevention and treatment, maternal and child health, community health services, food security and resilience, localization partnerships Deadline: May 5, 2026. Learn more and apply here. This call is structured to reward partners who can link frontline service delivery to system durability and localization, not just short-term coverage gains. Contracts for Innovation in drug and alcohol addiction healthcare, Innovate UK. *Closing soon!* Innovate UK, on behalf of the Office for Life Sciences Addiction Healthcare Goals program, is procuring R&D to accelerate innovations that can improve treatment outcomes, strengthen recovery, and reduce harm and deaths linked to drug and alcohol addiction. The competition is positioned as a market-facing readiness push: selected projects are expected to advance solutions toward later-stage validation, generate evidence of user acceptability and UK market fit, and map credible routes through regulatory and certification requirements. Innovate UK signals a preference for innovations that can be field-tested in relevant UK settings and progressed to TRL 6 or 7, with practical plans for commercialization after contract completion. This structure favors applicants that can execute most work in-house, co-develop with service providers and people with lived experience, and translate technical progress into deployable tools for addiction healthcare delivery. Geographies: United Kingdom. Who can apply: Single organizations of any size (including EU, EEA, or international) leading delivery, with most work and key deliverables carried out in the UK; subcontractors for specialist skills only. Funding amount: GBP £200,000–1.5 million per project (inclusive of VAT); Total pool: GBP £20 million (across two strands). Targeted Sectors / SDGs: Health; Focus areas: Mental Health, Health Systems Strengthening, Research & Development, Technology Access. Deadline: May 6, 2026 (11:00am). Learn more and apply here. This call uses procurement to pull near-market addiction innovations toward operational proof and adoption pathways in UK services.
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Tesla Q1 earnings, sales top forecasts as company sees 'tailwinds' boosting auto business
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Tesla earnings, sales top forecasts as company sees 'tailwinds' boosting auto business
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