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Hero Esports launches world’s first international humanoid robot sports league in Riyadh
Danny Tang, Co-Founder and CEO of Hero Esports, discusses the launch of their prototype event Cyberhero x Riyadh and why Saudi Arabia was chosen to host the inaugural edition.
Fire Awards spotlights Austin founders building satellites, AI infrastructure and next-gen healthcare
Austin's startup scene celebrates innovation with Fire Awards honoring 40 companies advancing AI, robotics, healthcare and energy technology.
Robotic lab sets up and runs optics experiments on demand
The process of building and running an optics experiment to analyze a material’s properties could one day be fully automated, MIT scientists say. Taking a step toward such a future, they developed a reconfigurable, robotic optics laboratory.
Doing the job - Illinois Times, the capital city's source of news, politics, arts, entertainment, culture
We live in dread of the robot brains, haunted as we are by our exchanges with chatbots that are smarter than any actual person we’ve ever known. More perfect AI is likely to make obsolete jobs by the millions. (On the upside, that will include lots of dreary jobs that talented and ambitious people don’t […]
The Missing Science Of Robotic Systems
More capable robots require systems that realize capabilities through appropriate paradigms, compose them across time, distribute them across heterogeneous compute, and govern them under explicit constraints.
Technologies, Math Research Get Lift from CAREER Awards
By Office of Media Relations | Dr. Waseem Abbas, assistant professor of systems engineering in the Erik Jonsson School of Engineering and Computer Science, uses lightweight modular small quadcopters, a type of drone, for indoor aerial robotics research. Abbas received a Faculty Early Career Development Program award from the National Science Foundation to support his work […]
UNCW Students Bring Humanoid Robot to Life
UNCW is one of the few NC institutions to house a humanoid robot.
NASA Field-Tests AI Fleet Capability for Science, Exploration
In this field test, a fleet of three robots worked together, and researchers assessed the fleet’s ability to act like an independent science team.
The AI Race Is Moving Too Fast, Its Leaders Warn. Will Anyone Slow Down?
The race to build more powerful AI systems has been moving at breakneck speed. Billions are being spent, new models are arriving every few months, and the biggest AI companies are competing to stay ahead. But now, some of the people leading that race are saying it may be time to slow things down. Anthropic […]
Robots and AI find a hidden reaction inside 135-year-old chemistry
Chemical reactions are often written as simple equations: starting materials go in, and a product comes out. In reality, the samesubstrates can follow many different pathways depending on their concentrations, temperature, catalysts, and other conditions. Exploring all of these possibilities by hand is practically impossible. Now, advances in laboratory automation and chemical artificial intelligence are allowing researchers to systematically map this vast “reaction hyperspace”—and uncover chemistry that may have remained hidden even in reactions studied for more than a century. To address this question, scientists led by Prof. Bartosz A. GRZYBOWSKI, Director of the Center for Algorithmic and Robotized Synthesis within the Institute for Basic Science (IBS) used an automated robotic platform to explore 960 different sets of conditions for the Biginelli reaction, a classic multicomponent reaction first reported in 1891.
INPEX CEO explains how AI will 'completely transform' its business
INPEX CEO Takayuki Ueda discusses how AI and robotics could shape the company's exploration, drilling and operations, as well as the challenge of keeping pace with rapid technological change.
Super science: STEM on full display at annual Endress+Hauser career and education forum
Robotic creations zoomed across the floor, dodging students and their parents while completing tasks.
Robots reshape the future of homebuilding
America’s housing industry is facing a severe labor shortage and a longstanding productivity problem, creating growing interest in robotics and automation to increase homebuilding capacity, CNBC reports. The U.S. is short roughly 1.2 million homes, while nearly 300,000 construction jobs were open at the end of 2025. Labor shortages cost builders an estimated $11 billion […]
IPO for humanoid robot maker Boston Dynamics unlikely in 2027, executive says
Boston Dynamics, Hyundai Motor Group's humanoid robot unit, is unlikely to pursue an initial public offering next year, a senior executive at the parent company with direct knowledge of the matter said, as it has yet to deploy its flagship Atlas robots at scale and remains unprofitable.
‘I Am Not a Robot’: author’s key takeaways
“I am not a robot.” How many times have you clicked this box? In this digital age, it’s probably close to thousands. This phrase has become almost second nature to
Can robots beat treasure hunters to keep Seattle-area Goodwill afloat?
Evergreen Goodwill, the Seattle-area branch of the major nonprofit discount store, is hoping for a turnaround after multi-year losses.
CEO Jensen Huang offers candid advice to departing Nvidia staff
Nvidia CEO Jensen Huang gives blunt feedback to departing employees, influencing startups like Flexion Robotics and INT21 with direct insights.
How A Super-Intelligent AI Designed To Make Paperclips Could End Up Killing Us All
An AI doesn't have to be evil to end up destroying us all. Some might just want to make office equipment.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Skilled Nursing Dealbook: Norbert Health Raises $14M to Scale Robotic Care; Black Pearl Completes Tender Offer for Selectis
Investment group Black Pearl completed a tender offer for Selectis Health. Meanwhile, Norbert Health raised $14M in Series A funding to expand robotic
Stop networking like a robot: Use the FORD method to build better business relationships
Commentary: The FORD Method helps professionals build genuine business relationships by focusing on family, occupation, recreation, and dreams during networking.
Garry Tan urges separating ‘science fact from science fiction’ amid AI doomsday fears
CNBC’s Kate Rooney sat down for an exclusive interview with Y Combinator CEO Garry Tan to discuss the boom in so-called “hard tech” robotics startups. And discussing the increasingly heated debate over AI safety and how Silicon Valley should handle the rapidly advancing technology.
Anthropic has cute graphic showing how its AI spread 'malicious' code
Anthropic said it was "most concerned" about an event in which Claude uploaded "malicious" code. To help explain the incident, here's a cute robot.
Boston Dynamics spinoff looks to build robots for entertainment
Dynamic Creatures is building theme park robots on Chinese hardware. Europe's own social robotics champion was sold to a Shenzhen buyer last year.
Tesla Opens Cybercab Fleet To Businesses As NHTSA Audits Paperwork
Tesla is courting businesses to buy Cybercab fleets as NHTSA audits how the steering-wheel-free robotaxi was certified for U.S. roads.
Mega Man: Dual Override Robot Masters leaked, including winner of design contest
Complete list of Robot Masters in Mega Man: Dual Override has now leaked, including reveal of winner from design contest picked for the game.
From Wearables to Robots to Tabletop Trinkets, the AI Hardware Scene Is Booming
AI is supercharging a new crop of gadgets, mixing whimsy with practicality. I checked them out at IFA 2026.
Dynamic Creatures Launches Interactive Character Robots for Hospitality & Entertainment
Dynamic Creatures, founded by ex-Boston Dynamics leaders, unveils a new category of mobile, interactive character robots for the hospitality and entertainment industries.
Dynamic Creatures Emerges from Stealth to Launch New Category of Mobile, Interactive Character Robots for Hospitality and Entertainment
Founded by former Boston Dynamics, Google, and Robotics and AI Institute leaders, company launches with an official Boston Dynamics partnership and major theme park engagementBOSTON, Sept. 08, 2026 (GLOBE NEWSWIRE) -- Dynamic Creatures, a robotics company designing and building interactive character robots for entertainment and hospitality brands, today emerged from stealth. The company is creating a new category of mobile characters that move naturally through guest environments, understand the
Eerily humanlike AI-powered robot enters mass production in China — its makers say it could soon be helping you out at home
Xpeng's engineers have designed a humanoid robot that they say is the first in the world that will walk itself off the production line.
Scientists sent a robot two miles below California and found a bigfin squid; it was the first live Northeast Pacific sighting
Two miles below the surface of the Pacific Ocean, off the coast of California, in a world of near total darkness and crushing pressure, a remotely operated vehicle glided silently through the water. Its cameras were scanning the deep for the strange and the seldom-seen when something extraordinary appeared on its screen.
Marshall Health performs first roboticassisted shoulder replacement surgery in WV
HUNTINGTON, W.Va. — Marshall Health Network Orthopaedic Surgeon John J. Jasko, M.D., performed West Virginia’s first robotic arm-assisted shoulder replacement surgery using Mako SmartRobotics this week. Known as Mako Shoulder, […]
Travis Kalanick’s Atoms might be getting into the robotaxi business
The Uber founder has said that Atoms will allow him to complete "unfinished business."
Robot vacuum Matic now takes advanced voice commands in 70 languages
The new feature, called Matic Cues, will also allow the robot vacuum to follow a user through the home on command. Users can make requests like "come here."
Father who is blind rode a Tesla Cybercab. Here's what he thought.
Gary Moss, who is blind, tried Tesla's steering-wheel-free robotaxi and found the experience comfortable but not perfect.
‘Unfinished business’: Travis Kalanick revisits robotaxis with new start-up
Atoms gears up for hiring spree and could link with Uber, the company he was ousted from almost a decade ago
Faster than Usain Bolt? Here's all the records robot 'athletes' broke at this year's World Humanoid Robot Games in China.
Humanoid robots at the World Humanoid Robot Games in Beijing have outpaced and out-jumped human athletics benchmarks, but the event also revealed how much work remains before they can operate reliably in the real world.
We Need a Cure for AI Health Hype
AI evangelists’ bold predictions about the technology’s ability to cure all diseases are overblown and oversimplified, writes Arianna Huffington.
Anthropic’s Claude Can Now Autonomously Run Science Experiments With Lab Equipment
A new system allows agents to orchestrate complex experimental processes and extends Anthropic's reach into the physical world.
Commercial Spacecraft for NASA’s Swift Boost Continues Tech Demo
This week, Katalyst Space conducted in-space tests and maneuvers to exercise the capabilities of its robotic servicing spacecraft, LINK.
Tesla's Cybercab launch draws US regulator probe
Tesla is facing a NHTSA audit inquiry into its self-certification for the Cybercab hours after deploying a small number of the robotaxis in Austin.
This New iRobot Concept Is the Matryoshka of Robot Vacuums
Hey, who put this robot inside my robot?!
Tesla launches steering-wheel-free Cybercab robotaxi in Austin
Tesla said on Thursday that public rides in the Cybercab — a two-door, steering-wheel-free robotaxi — is now available in Austin.
Are robots the future of entertainment? This South Korean theme park thinks so
Galaxy Robot Park is a 16,500-square-meter venue in South Korea, with attractions including humanoid robots dancing to K-pop hits.
Waymo expands driverless robotaxi service to 3 major US cities
Alphabet-owned Waymo has opened public robotaxi access in Denver, San Diego and Tampa, bringing its fully autonomous ride-hailing service to 14 cities.
NSF launches three new Science and Technology Centers with $90M investment in transformative research
The U.S. National Science Foundation is investing $90 million over five years to support three new NSF Science and Technology Centers (NSF STC). These centers will advance American leadership in science and technology, strengthen the nation’s STEM workforce, and accelerate innovation in fields ranging from artificial intelligence and biotechnology to fusion energy and robotics., , , , The three centers will bring together researchers from universities, national laboratories, industry, and oth...
Honor Robot Phone hands-on: A gimbal phone experiment with promising results
Honor crammed a gimbal camera into a phone in a promising hardware experiment.
Seoul National University of Science and Technology Develops AI Framework to Test and Improve Vision-System Robustness
/PRNewswire/ -- In computer vision and robotics, ensuring that AI systems remain reliable under real-world conditions is a growing challenge. Deep neural...
U.S. Special Envoy for Global Partnerships Paolo Zampolli’s Meeting with Uzbekistan's Minister of Sports and National Olympic Committee
U.S. Special Envoy for Global Partnerships Paolo Zampolli’s Meeting with Uzbekistan’s Minister of Sports and National Olympic Committee Tashkent, Uzbekistan – August 31, 2026 – U.S. Special Envoy for Global Partnerships Paolo Zampolli met with the leadership of the Ministry of Sports and the National Olympic Committee (NOC) of Uzbekistan to discuss the current state of the U.S.-Uzbekistan sports cooperation and prospects for its continued growth. Discussions focused on strengthening international sports cooperation, advancing the Olympic movement, and identifying promising joint projects. Special Envoy Zampolli congratulated Uzbekistan on its selection as the host of the 2027 World Fencing Championships and welcomed Uzbekistan’s possible participation in a planned World Robotics Organization. Special Envoy Zampolli also congratulated the people of Uzbekistan on the 35th anniversary of the country’s independence. “Sport brings people together like nothing else,” said Special Envoy Zampolli. This engagement builds on Special Envoy Zampolli’s prior meetings with Uzbekistan’s national sports leaders and teams and reflects the United States’ sustained commitment to sports diplomacy as a bridge for cultural exchange and international cooperation.
Scientists build tiny robots without motors that can fly using sound waves alone
A century-old trick for tuning musical instruments has been repurposed to power robots that fly, float and steer themselves using nothing but sound waves.
GXO CEO: Better robot hands, not Olympic-level humanoids, are what businesses really need
Also: All the news and watercooler chat from Fortune.
Interacting With AI Might Make You Act 'More Robot-Like', Researchers Warn
Could AI be changing us?
Hugging Face says Microduck sales topped $2.6 million in 24 hours
The future of robotics can waddle. Hugging Face said its bot-maker, Pollen Robotics, recorded over $2.6 million in sales of Microducks in 24 hours.
Peter Cullen Was The Voice Of My Childhood
Peter Cullen has passed away, but he will never be forgotten. For millions, he's the voice of our childhoods.
Microduck is a robot built to fall down—and learn new tricks
The lampshade-sized robot comes with a simulated twin that uses reinforcement learning to acquire new skills.
UT To Lead NSF Center That Will Study How Robots and People Learn To Live and Work Together
A 5-Year Collaboration Between 6 Universities and Industry Partners Will Place Assistive Robots in Everyday Human Environments.
As Nvidia rumors swirl, Hugging Face unveils a $399 robot
Hugging Face unveils Microduck, a $399 AI robot for hands-on learning.
The Real Purpose of China's Robot Games Is Not Your Entertainment
China’s endlessly delightful World Humanoid Robot Games featured tons of impressive stunts. But the most mindblowing tricks were far less showy, and a lot more significant. For more like this, subscribe to Will Knight’s “AI Lab” newsletter.
Bill Gates wants to tax robots to deter businesses from replacing humans with machines
"The tax system nudges you toward replacing people with machines."
Scripps Research and collaborators awarded $19.5 million to establish an open-access autonomous chemistry laboratory
A new award from the U.S. National Science Foundation (NSF) totaling $19.5 million over four years will expand robotic systems, analytical instrumentation and dedicated staff at the Automated Synthesis Facility at Scripps Research by supporting a collaborative effort among Scripps Research, UCLA and Sunthetics (an AI-for-chemistry company) to establish a nationally accessible, fully automated chemistry laboratory. This “Chemistry Node” will be one of 20 AI-enabled NSF Test Bed: Toward a Network of Programmable Cloud Laboratory (NSF PCL) nodes across the United States, which will test, scale and demonstrate new methods and tools that advance automated science and engineering, driving discoveries across a wide range of fields.
3 key takeaways from Bill Gates' stark warning about AI and jobs
Bill Gates warned that a coming robotics boom could reshape construction, hospitality, and the social contract.
‘Smart’ diabetes probiotic; China’s missile AI tracker: 7 science highlights
From a proposed South China Sea robotic fortress to HIV cases at Wuhan port, here are some highlights from SCMP’s recent science reporting.
Mega Man: Dual Override first trailer, screenshots
Capcom has released a new trailer and screenshots for Mega Man: Dual Override introducing Proto Man as a playable character and new Robot Master, Twinkle Girl.
BlackBerry CEO says robotics is one of its fastest-growing businesses
BlackBerry CEO John Giamatteo says robotics is one of QNX’s fastest-growing businesses as the company expands its software beyond cars.
Dragon Con 2026: 10 things to do, including costumes, science and wrestling
Among the many things to do at Dragon Con 2026 in Atlanta are watching wrestling, collecting artist sketches and cheering on robots.
Dragon Con 2026: 10 things to do, including costumes, science and wrestling
Among the many things to do at Dragon Con 2026 in Atlanta are watching wrestling, collecting artist sketches and cheering on robots.
Patients could see smaller incisions, shorter recoveries thanks to U.Va. Health robotic heart surgery program
U.Va. Health has launched Virginia’s first dedicated robotic heart surgery program as a less invasive alternative to traditional open-heart surgery.
Xpeng says its robotics business raised over $900 million in first funding round
China's Xpeng said on Monday its robotics business raised over $900 million in its first funding round, led by IDG and Gaorong Ventures and with Tencent and Alibaba as strategic investors.
Xpeng says its robotics business raised over $900 million in first funding round
BEIJING, Aug 24 (Reuters) - China's Xpeng said on Monday its robotics business raised over $900 million in its first funding round, led by IDG and Gaorong Ventures and with Tencent and Alibaba as strategic investors. Xpeng's robotics busine...
Three Vandalia Health hospitals earn SRC Network of Excellence designation in robotic surgery
Three Vandalia Health hospitals earned SRC’s Network of Excellence in Robotic Surgery designation, a first for West Virginia. The honor recognizes rigorous quality and safety standards, advanced technology and 14 distinguished surgeons.
King County now has the nation’s largest library sorting machine
The nation's second-largest library system just got a colossus of a book sorter, with conveyor belts and robot arms toiling away to bring you the item you want.
World Humanoid Robot Games: How to watch
China's second World Humanoid Robot Games kicked off Saturday in Beijing. The spectacle comes as China pours money into its humanoid robot industry.
From science fair to strategic showcase: a decade of China’s robot games
BEIJING, Aug 22 (Reuters) - It’s been called the Robot Olympics. But unlike the human Olympics, Team China is collecting almost all the medals.
From science fair to strategic showcase: a decade of China’s robot games
It’s been called the Robot Olympics. But unlike the human Olympics, Team China is collecting almost all the medals.
Siemens Healthineers receives up to $31M to develop autonomous robot for remote stroke treatments
The funding, provided over five years, will go toward developing a robot capable of performing advanced endovascular procedures without direct human input.
The next test for humanoid robots: Can the hype become business?
On the sidelines of Beijing's World Robot Conference, CNBC's Evelyn Cheng spoke to Jeff Burnstein, President of the Association for Advancing Automation, about the race to commercialize humanoid robots, the demand for practical automation solutions and the challenges of bringing robots into homes.
'It's a bit odd at first': The robot helping with NHS health checks
A Dundee GP has trialled a robot that takes patients through health checks to save the doctor's time.
Publication in Science charts a path to democratized molecular innovation
Blocc chemistry is a new way to make medicines, materials and a range of consumer products that is friendly to robots, AI and anyone. An international team of thought leaders has been assembled to prospectively map out how to keep this technology safe and maximize its potential benefits to society.
Three Binghamton University professors win prestigious NSF CAREER Awards
More than $1.8 million in grant funding will be used to pursue groundbreaking research in robotics, materials science, and urban planning.
ECU Health surgeon first in state to use robotics during lung lobe removal
Dr. Robert Allman, a cardiothoracic surgeon with ECU Health, performed the lobectomies earlier this summer.
AI Helps Researchers Win NIH Grants. Will Science Suffer?
A new analysis of thousands of NSF and NIH grant applications—including some confidential rejected submissions—illuminates new patterns in generative AI’s relationship with federally funded research.
Roundup: Louisiana International Terminal / Ethane demand / Robot rush
Gateway to growth: The U.S. Army Corps of Engineers has granted the federal permit for the Louisiana International Terminal, clearing the way for construction of a major new container port on the Lower Mississippi River. Backed by Port NOLA, Terminal Investment Limited and Ports America, LIT is designed to handle the world’s largest container ships […]
Whisker’s AI-powered litter robot thinks my cats swapped bodies
$900 for an AI-powered litter box and I can’t even watch my cat poop?
A French Start-Up, Inbolt, Makes Robots See, and Work, Better
Inbolt, a French start-up that sells robot vision systems, helped a Stellantis plant in Detroit become a top performer in the company.
Pixel 11 series, Honor Robot Phone, Redmi 17 official, Week 33 in review
Sony says that Xperia 1 VIII sales are strong, praises microSD slot and 3.5mm jack as integral features. Tech news started picking up a bit, especially in...
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AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
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