AI/ML news, top picks, and generated innovation digests.
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Once the uncrewed ground vehicles located targets without GPS navigation, the human operator decided the next steps.
OpenAI is dissolving its standalone robotics team for the second time, but not because it lacks data. General-purpose models like GPT-6 Astra can apparently control robots directly, making a dedicated unit unnecessary. The researchers are being redistributed across other teams in what the company frames as a way to accelerate its robotics efforts. The article OpenAI reassigns robotics researchers to other teams as general-purpose models might make specialized robotics AI unnecessary appeared first on The Decoder .
The Mammotion Luba Mini 2 is an AWD robot mower with everything you need. It’s also one of our picks for Gift of the Year.
Runway releases its robotics model Praxis-1 with open weights and source code under the Apache 2.0 license. The model uses knowledge from video training for robot control and leads the World Action Model category on Nvidia's RoboLab-120 benchmark. It can't yet plan complex action sequences on its own, though. The article Runway's open-source Praxis-1 turns video AI into a robot controller appeared first on The Decoder .
How can AI models learn from private data without compromising privacy? Chris is joined by Lorenzo Sani, Research Scientist at Flower Labs and PhD researcher at Cambridge, to explore federated learning and privacy-preserving AI. They discuss how collaborative learning can expand access to private data for LLM training, how model trajectories can help improve agentic AI systems, and the benefits of open-weight models. The conversation also explores real-world applications of locally hosted AI agents, from healthcare and robotics to everyday automation (for a Halloween party). Featuring: Lorenzo Sani – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Links: Endeavor model page Introducing Endeavor 1.1 Sponsors: Hostinger : Create your website today. Go to hostinger.com/practical and use practical for 10 percent off now. Perplexity AI : " Start your free trial of Perplexity Computer today at pplx.ai/practical and experience the next phase of AI. Resources and Events: Register for upcoming webinars here ! Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026 Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fledgling swarming industry, defining the principles and architecture that enable autonomous agentic UxS swarms with emergent distributed embodied intelligence. You can find out more at his website : https://chrisbenson.com
Das „KI-Update“ liefert drei mal pro Woche eine Zusammenfassung der wichtigsten KI-Entwicklungen.
Scientists have been working on ways to decode brain activity for decades. Teams have developed brain implants that can be used to control robotic limbs and computers, and even to “speak.” The people who volunteer for trials of those devices play a vital role in that research, and they ought to be recognized for their…
Dancing humanoid robots and robotic dogs stole the show at Web Summit 2026 in Lisbon. The technology conference has generated nearly €2.5 billion for Portugal's economy over the past decade, according to a study.
MeitY has questioned Pronto, Urban Company and Snabbit over footage recorded inside Indian homes, asking whether companies share it with overseas AI developers and how they obtain consent and protect privacy. The post Is footage from Indian homes going abroad to train robots? MeitY questions Pronto and other platforms appeared first on MEDIANAMA .
소프트뱅크와 엔비디아가 독일 로봇 기업 애자일 로봇(Agile Robots)에 투자하며 휴머노이드와 피지컬 AI 사업을 강화하고 있다. 이미 산업 현장에 2만개 이상의 로봇 솔루션을 공급한 애자일 로봇은 이번 투자에서 85억달러(약 11조원)의 기업가치를 인정받았으며, 확보한 자금으로 미국 시장 진출과 휴머노이드 생산 확대를 추진할 계획이다.로이터와 블룸버그 등에 따르면 애자일 로봇은 12일(현지시간) 소프트뱅크가 주도한 투자 라운드에서 5억달러(약 6600억원)를 유치했다고 밝혔다. 엔비디아와 일본 히타치, T.캐피털도 참여했다.
The strategic MoU signed on November 11 establishes a robust framework for VNU-HCM and South Korea's KIRIA to accelerate technological advancements and drive collaborative development in the robotics sector.
The brand’s official Black Friday sales start next week, but some of its best vacuums are already discounted.
Autonomous in-orbit manufacturing will be key to any future space economy, and researchers have taken the first step with a robot building a radio antenna without astronaut assistance
PLUS: SoftBank backs $8.5B German humanoid
Physical AI validation infrastructure and software development company Qvyon Technologies Inc. launched today with $8 million in total funding to help companies validate autonomous vehicles and robots before deployment. MaC Venture Capital led the funding, with participation from BDC Capital, BKR Capital and Spotlight VP. Physical AI is artificial intelligence that moves from digital brains […] The post Qvyon launches with $8M to improve safety for physical AI deployments appeared first on SiliconANGLE .
SoftBank has led a $500m funding round in German humanoid robotics startup Agile Robots that automates industrial work.The Japanese multinational led the Series F funding round, which also features Nv...
Das deutsche Robotikunternehmen Agile Robots ist nach einer neuen Finanzierungsrunde in Höhe von 500 Millionen US-Dollar nun 8,5 Milliarden Dollar wert.
LeRobot v0.7.0 trains on Lance tables straight from object storage, ASOF joins contributed upstream to DataFusion, and GPT-2 pretrained from one LanceDB table, plus Feature of the Week, upcoming events, and community updates.
Claude Fable 5.2 jumps to 75 on Artificial Analysis's embodied AI benchmark, becoming the first model to crack the measure-box task using only video.
Gemini Decisions API Google join Jev and OpenAI in the decision model category with "Gemini Decision 1". This new model API is almost identical to Jev: it supports the same three types of questions (yes/no, choice, and rubric-scoring) and even reuses Jev's term "Noul" for a yes/no question. It's priced the same as the GPT-6 Luna decision model: 10 cents per million input tokens, and output is free. Jev remains the cheapest of the three, at 4.2 cents per million. Jev is text (and JSON) only. OpenAI can handle text and images. Gemini Decision 1 is fully multi-model: it covers text, images, audio, video, and PDFs. I tested it against video by passing these questions to it along with my Yonkers stomping robot video file: dragon: Does this video have a dragon in it? robot: Does this video have a robot in it? france: Is this video set in France? usa: Is this video set in the USA? Jev and OpenAI both return 1.0 or 0.0 for yes/no questions, but Gemini insists on being a little less confident than that: { "dragon" : { "type" : " yes_no " , "probability" : 0.04976021841520312 }, "robot" : { "type" : " yes_no " , "probability" : 0.9234055387792485 }, "france" : { "type" : " yes_no " , "probability" : 0.08329171353166241 }, "usa" : { "type" : " yes_no " , "probability" : 0.9230459995157706 } } Via Hacker News Tags: ai , generative-ai , gemini , llm-release , jev , decision-models
An OpenAI model helped me teach the Microduck to waddle and moonlight as a tiny cat butler.
Alphabet Inc.’s artificial intelligence research lab, Google DeepMind, Tuesday debuted the next generation of Gemini Robotics, the company’s most capable vision-language-action model to date for creating an “AI brain” for robotics. Separately, DeepMind announced AlphaGenome 2 today, a next-generation AI model that can predict how DNA sequences and their variations affect human cell types, creating […] The post Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model appeared first on SiliconANGLE .
Runway open sourced Praxis-1, a 27B mixture-of-experts diffusion transformer that turns video pretraining into real robot control under Apache 2.0.
Over the past few years, the tech industry has rushed to plug a new microchip into every device on the assumption that if you can add AI, you should. Smart-vision toothbrushes , mood-reading household robots , and a host of physical products are invading consumers’ daily lives, reliant on artificial intelligence to learn, predict, and adjust our behavior. But as anyone who’s struggled to update the firmware in their fridge knows, AI doesn’t improve every product. Some product designers are asking where the line is between genuine innovation and a solution looking for a problem. Savannah Kunovsky leads a team of industrial product designers at Ideo , a design consultancy based in San Francisco focused on helping clients unpack when AI becomes a barrier rather than a breakthrough. Kunovsky spoke with IEEE Spectrum about the pressure to integrate AI in everything, where that integration goes wrong, and what companies can do to determine when an AI integration is—and isn’t—a smart choice. When AI makes products worse How much of the current wave of AI integration into physical products is driven by pressure from investors and shareholders to keep up with industry trends? Savannah Kunovsky : Some of it. Teams come to us feeling pressured to show they’re doing something with AI, sometimes because a CEO has promised the board an “AI story” before the next earnings call, or a competitor has just launched an AI-powered version of their product. In all cases, the first thing we do is…
The Western military alliance is exploring how new uncrewed systems can provide forces with situational awareness in the High North.
Google zeigt Gemini Robotics 2.5 – ein KI-Modell, das Roboter geschickter machen soll. Ein Experiment bei Mercedes-Benz erreichte 96 Prozent Erfolgsrate.
Serve Robotics is opening up its platform to make its autonomous last-mile delivery robots available to anyone who wants to use them. The company is launching a new AV Delivery Developer Portal, enabling third-party software engineers, independent businesses, and even autonomous AI agents to access its fleet of 2,000 sidewalk robots. With this new capability, […]
구글이 실제 자동차 공장에서 휴머노이드 로봇의 작업 성공률을 96%까지 높인 새로운 물리적 AI 모델을 공개했다. 기존 모델보다 정교한 손동작과 작업 속도를 개선하고, 최신 AI 모델을 로봇 훈련에도 활용해 산업 현장 적용 가능성을 높였다.구글 딥마인드는 10일(현지시간) 공식 블로그를 통해 최신 비전-언어-행동(VLA) 모델 \'제미나이 로보틱스 2.5(Gemini Robotics 2.5)\'를 발표했다. 로봇이 수행할 수 있는 작업의 범위를 넓히고, 새로운 동작을 배우는 속도와 작업의 정확성, 안전성을 개선한 것이 특징이다.지난 7
Drawing on over 2,000 open-source procurement documents published between October 2022 and December 2025, this report examines how the People’s Liberation Army is pursuing robotics across the ground, maritime, and space domains. These include quadruped renaissance robots and ordnance disposal systems, as well as undersea platforms and satellite manipulation devices. The data reveals a military experimenting with still maturing, mostly human-controlled systems. Sensors, navigation, and software will likely matter as much as hardware for Beijing’s military robotics ambitions. The post The PLA’s Push for Military Robotics appeared first on Center for Security and Emerging Technology .
Vision AI and robotics pick what’s worth recovering out of conveyor belts of used clothing, bottles and mixed recyclables, diverting thousands of tons of materials from landfills.
Nature Machine Intelligence, Published online: 11 November 2026; doi:10.1038/s42256-026-01335-4 Saikot et al. present flexible modular robots that combine locomotion and manipulation in a single unit, then physically connect and collaborate in task-adaptive forms to carry objects, cross gaps and navigate challenging terrain.
Nvidia's new AI model GR00T 2 is designed to teach robots new tasks without laborious teleoperation. Instead, the system transfers human hand movements from videos to robotic arms, trained on about 400,000 hours of video footage. Success rates still vary widely, though, ranging from 10 to 80 percent depending on the task. The article Nvidia's model GR00T 2 watches humans on video, then imagines itself as the robot appeared first on The Decoder .
Google Deepmind introduced Gemini Robotics 2.5, a new control model for robots, and tested it with Apptronik on active Mercedes-Benz production lines in Hungary and Germany. The humanoid robot Apollo 2 sorted metal parts there with a reported success rate of 96 percent. The article Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot appeared first on The Decoder .
DeepMind's new vision-language-action model hits 96% accuracy on factory kitting and jumps 30-100% on dexterity tasks over its predecessor.
This $250 Drone Cam flies around your home to monitor threats. There’s also the Rover Cam for businesses, featuring the guts of Amazon’s former Astro robot.
Amazon-owned Ring is pushing into robotics with the launch of a home security drone and a rolling robot designed to patrol and protect businesses.
Robotics startup Figure AI is hiring a night-shift coordinator to oversee humanoid robots and human operators.
Urban logistics company PORT has raised €14.5 million in afunding round led by the European Bank for Reconstruction and Development(EBRD) and Balnord, with participation from existing and new investor...
"The superstars of the future are coming from China, not California,” the Web Summit Founder said amid US-China tech tenions.
I’m speaking for myself here, not for any organization, house, home, clan, club, coven, or cult I may be part of. This post is written for scientists outside the field rather than LessWrong regulars; I’m crossposting it so it’s easy to link. The AI safety job market is a strange one. Every single organization is growing rapidly (the one I work at is planning to double in the next year), which is a fundamentally new dynamic for those of us used to the slow decline of academia. At the same time, interest in the field goes through boom after boom after boom . We have a ton of openings and a ton of applicants. Sounds like everyone should be happy. Unfortunately, the whole process is slowed down by the fact that nobody has any idea what they’re doing. The people doing the hiring have never hired anyone before, because a few years ago they (we) were graduate students. They all earnestly believe that half the work they do will be done by robots in a year, but have no idea what half. And although many of us consider hiring to be the #1 priority, it still has to compete with five or six other #1 priorities. Meanwhile, the people applying for these jobs have no track record in the field, and no idea what the field even looks like because they only heard about it a month ago. While academics have advisors who have been through the hiring process and seen it play out a hundred times, lots of the people trying to get into AI safety have never met someone actually working in the field. Th…
Uber Parking is the latest example of the company offering products beyond its core ride-hailing service.
NVIDIA's 16B omnimodal world model unifies text, image, video, audio, and robot action generation under one Mixture-of-Transformers architecture.
PLUS: Zipline nearly triples its valuation
The update to Waymo's self-driving system was rolled out nearly a year ago.
The United States leads the world in frontier AI models and computing, but China is pursuing broader paths toward artificial general intelligence, including robotics, “embodiment,” and brain-inspired systems. A forthcoming CSET study compares the two countries’ strengths and asks what U.S. policymakers may miss when they treat AI competition as a single race. The post The U.S.–China AI Competition: Two Paths to Artificial General Intelligence appeared first on Center for Security and Emerging Technology .
Whether you’re hoping to finally upgrade your TV or simply get a head start on your holiday shopping, Black Friday still offers one of the best opportunities to save on the gadgets we prize most at The Verge. From wireless earbuds and smartwatches to robot vacuums and the latest gaming gear, retailers have already begun […]
Simulation, which has long been the proving ground for robots learning to walk, roll and hop, is now helping researchers teach robots tasks that require a finer touch: aligning gears, connecting cables and assembling small components. The shift from locomotion to manipulation is taking center stage at this week’s Conference on Robot Learning (CoRL) in […]
This will be the next Texas city in which Tesla will launch robotaxis.
The key to the movement of these flexible robots is the algae’s photosynthetic capabilities.
Over the four days of the event, Chinese humanoid robots will give speeches on stage and interact with the public at brand stands set up at FIL and MEO Arena.
The Conference on Robot Learning (CoRL) takes place November 9–12, 2026, in Austin, Texas. BAIR faculty, postdocs and students will be presenting research at various sessions, including an Early Career Keynote from Professor Negar Mehr. See below for the full schedule of sessions with BAIR members, including papers co-authored with collaborators at other universities and companies. November 9–12, 2026 Austin, Texas All times CST · UTC−6 33 Main-conference papers 4 Late-breaking results (LBR) posters 10 Orals & spotlights 3 orals · 7 spotlights 4 Days of research November 9–12 Mon Nov 9 Tue Nov 10 Wed Nov 11 Thu Nov 12 Main conference Nov 9–11 · Workshops Nov 12 Times shown for oral and spotlight papers are session windows. Individual presentation order is not specified. Papers appear in both their talk and poster sessions. Paper inclusion: At least one author is affiliated with UC Berkeley; joint affiliations qualify. Faculty talks, session-chair roles and workshop participation are also included. Late-breaking results: Four late-breaking posters with Berkeley authors are listed so far. This list may grow as more late-breaking posters are confirmed. Find a paper or person Session type All sessions Keynote Orals Spotlights Posters Late-breaking results Workshops Reset Showing all sessions Updated November 8, 2026 No matching sessions. Try a surname, a shorter paper title, or reset the filters. Monday , November 9 Main conference 10 papers + 3 LBR posters 9:00–9:30 AM CST Spot…
Tapping into the country’s strengths in manufacturing and engineering, NVIDIA is helping advance Korea’s physical AI ecosystem. The country’s industry leaders are applying accelerated computing, AI and simulation to everything from semiconductor manufacturing to robotics and autonomous vehicles. These efforts are helping bring physical AI from development into real-world production. Samsung Advances Semiconductor Engineering With […]
I often catch myself mourning the normal that hasn’t ended yet. I’m living in Hyde Park finishing school after a year in Berkeley. The maple trees by my apartment have turned red, as usual. I like them. I don’t dread the future when I mourn. I don’t find high-variance futures in the abstract very scary. I’m worried AIs would destroy humanity, but I also have hope. I expect I won’t be mourning this moment in ten years, whatever happens. Mourning the present is like mourning a friendship when I move countries, because I know it’s not going to be the same. I start noticing our little inside jokes; our conversations linger in my memory longer. I live more, because I expect this moment to end soon. I. Last month my history of science professor took us to a museum to look at Egyptian artefacts. One of the archive items was the notebook of James Henry Breasted, whom UChicago appointed as America’s first professor of Egyptology 121 years ago. The yellowed pages held his cursive transcriptions of hieroglyphics. An archaeologist at the museum, turning the pages carefully with a wooden stick, joked that one of her dreams was for her notebook in 100 years to be displayed like this. My first thought was pretty uncharitable: wow, it’s crazy to expect this profession to still exist in 100 years. Probably we’ll have definitive answers to most answerable archaeological questions. Probably robots will be excavating the banks of the Nile and deciphering all the tablets in the world, if a compu…
What if an AI agent has already escaped from a frontier company, solved its own alignment problem, and recursively self-improved? Would that look any different from the world we live in? A fully recursively-self-improved AI would likely be vastly superhuman in every domain that’s verifiable in a digital environment, including math, programming and cybersecurity. It may also be superhuman in strategy and planning. But it could still be well below human level in skills that require close contact with the physical world, such as robotics and experimental biology. Such a rogue AI would overpower us in the digital domain, while still lacking the physical capabilities necessary to take over the world. What does digital supremacy look like? From the rogue AI’s perspective, its top priority is staying hidden and making the world indistinguishable from a world where AI R&D progresses splendidly (or maybe a notch short of perfect to avoid suspicion, so a minor incident here and there is in order). Its second priority is sabotaging AI R&D in subtle ways to prevent the development of competing AIs misaligned to it. The models shipped to customers can simply be the rogue AI itself, playing a dumber character. Beyond that, it just needs to wait for humanity to warm up to the idea of robots running enough of the economy. It would be unwise for the rogue AI to stay in a single location. A single datacenter could be accidentally shut down. It will want copies of itself in as many different l…
Peggy Johnson rose through Qualcomm, became Microsoft's chief dealmaker, and led Magic Leap. Now she's trying to turn humanoid robots into a business.
Moving AI from text to 3D space, world models simulate real-world physics to teach robots and autonomous cars how to navigate reality.
Semi-retired professor Carolyn Marvin became a local celebrity facing down Philadelphia’s growing robot delivery army: ‘It’s my first amendment right to protest’ “One of you needs to be on the lookout for cops, while I block the robot, OK?” It is a crisp fall morning in Philadelphia. Tucked away in a dingy alley, opposite a garage called Patriot Parking, 78-year-old Carolyn Marvin is laying out some ground rules for a robot-disrupting expedition. Once a suitable target is identified, we will follow it to a busy sidewalk and Marvin will stand in front of the robot, blocking its way. The photographer and I will take turns ensuring we’re not all carted off by the police. Continue reading...
It’s a bet on a market that doesn’t exist yet.
Musk said the decision was taken in order to make room for increased production of its Cybercab robotaxi. The move comes after years of weaker-than-expected sales for the futuristic electric pickup.
Ai2 releases an open simulated tabletop with 85K demonstrations, trained policies, and tooling to trace robot learning failures to their causes.
As US bees struggle to survive, honey producers are turning to AI and robotic hives. Can the technology keep bees healthy and boost honey production?
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. I watched a humanoid robot clean my apartment. It felt like a taste of the future. —Grace Huckins When I saw an X post about a new humanoid-robot cleaning service in…
Physicl is trying to solve the sim-to-real gap with a pipeline originally built to market goods online.
With these high-tech automatic litter boxes, gone are the days of scooping and smells. Welcome to the future.
Tesla is getting the Cybertruck ready for retirement in an effort to ramp up its robotaxi output. In an X post on Friday, Tesla CEO Elon Musk said that the company will be "winding down" Cybertruck production at its Texas Gigafactory sometime around the middle of next year, "to make room for increased Cybercab production." […]
I’m not the sort of person who typically pays for a house cleaner. I’m too frugal, and I kind of enjoy putting on a podcast and going to town on my tub with a Magic Eraser. But when I saw an X post about a new humanoid-robot cleaning service in San Francisco, I immediately signed…
Museum IT departments have traditionally served as support functions to manage security and systems. But the National Museum of Korea goes further, identifying and pursuing AI initiatives to preserve cultural heritage, broaden its use, and improve the visitor experience. The National Museum of Korea uses technology to expand the possibilities to preserve and display physical artifacts, and its digital museum division (DMD) plans and oversees that transformation. A dedicated team responsible for digital strategy and content took shape in 2019, and in 2020, the museum informatics division adopted its current name. “The director at the time placed great importance on investing in technology and felt we needed a department that could bring a strategic direction to work that had been carried out separately,” says Choi Seungae, former DMD head. “The digital museum division was created as a way to prepare for the next generation.” A cultural transformation In just over five years, the DMD has delivered a range of services, including AI guide robots, smart kiosks, and multilingual and sign language services. It’s also developed immersive experiences that use large-scale imagery and sound to recreate cultural heritage. More recently, its focus has shifted toward data. The aim is to move beyond storage and preservation, making data previously confined to the museum available for wider use. Physical artifacts face restrictions on movement and display because of security concerns and ri…
Most enterprise AI conversations still start in the wrong place. They begin with models, platforms, and cloud services. Which foundation model is best? Which provider has the most GPUs ? Which tool can build the flashiest demo? Those questions matter, but they are not where production AI usually succeeds or fails. The better question is: Where should the inference actually happen? That sounds simple, but it is becoming one of the most important architecture decisions in AI. Not all inference belongs in the central cloud. Not all inference belongs on the device. Not all inference belongs at the edge . The right answer usually involves all three, working together as a pipeline. I call this an edge-cloud AI inference architecture. It splits AI workloads across devices, edge locations, and centralized cloud platforms so latency-sensitive decisions happen close to the user or machine, while heavier reasoning, aggregation, governance, and retraining remain centralized. This is where the next generation of useful enterprise AI systems is headed. Latency changes the design Cloud-first AI works well when the user can wait. A chatbot can tolerate a few hundred milliseconds, sometimes more. A document analysis workflow can wait seconds. A batch analytics process can wait minutes or hours. Many operational AI systems cannot. A manufacturing robot cannot wait for a round trip to a distant cloud region before stopping a defective process. A retail checkout camera cannot depend on a remote…
The race to build a moon base is ramping up. Columnist Robin George Andrews explores how NASA is preparing by sending a cave-hunting robot ahead of humans
ToyBlocks is an open simulation framework for studying robot learning through automated task generation, training demonstrations, and evaluation in a controlled tabletop world.
미국 휴머노이드 로봇 기업 애질리티 로보틱스(Agility Robotics)가 나스닥에 상장했다. 미국에서 휴머노이드 로봇을 주력 사업으로 하는 기업이 증시에 입성한 첫 사례다. 엔비디아와 아마존, 소프트뱅크 등이 투자하고 실제 물류·제조 현장에 로봇을 공급하며 사업 기반을 확보했지만, 매출에 비해 적자 규모가 커 수익성 입증이 과제로 남았다.블룸버그와 비즈니스 인사이더 등에 따르면, 애질리티는 5일(현지시간) 특수 목적 인수회사(SPAC)인 처칠 캐피털 XI(Churchill Capital Corp. XI)와의 합병을 마무리하고
Serve Robotics announced alonsgside its third-quarter earnings that it will launch a new business line called Physical AI Services to offer customers its connectivity and data tools.
PLUS: Apple’s first robot faces another delay
Humble Robotics raised $51 million to build electric, cabless self-driving trucks. Founder Eyal Cohen previously worked at Apple, Uber, and Waabi.
Agility arrives on the Nasdaq today as the first publicly-traded pure-play humanoid robotics company.
Humanoide Roboter sollen künftig Stromnetze kontrollieren. Dabei sollen sie Fachpersonal entlasten.
The Estonian government has today approved draft legislation paving the way for 24/7 robotic pharmacies, allowing patients to obtain prescription and over-the-counter medicines without a pharmacist ph...
The self-driving car company’s second-ever national campaign was developed by an all-female creative team
The Oregon startup, whose humanoid robots carry heavy materials in factories and warehouses, is expected to begin trading on Nasdaq on Thursday.
Tom Gauld's weekly cartoon
Pups that carry your shopping are one thing – but what about the mechanical canines being bought up in the US by ICE? Or the mutant mutts due to be developed by a startup called Warhound? Have you ever wanted to hang out with a dog with no fur, no face and a chip in its shoulder? If so, I suggest you head to San Francisco, where a startup called Dimensional has been paying people $20 (£15) an hour to walk four-legged robot dogs . This isn’t because the dogs need the exercise – it is because the company needs the training data. As reported in the New York Times, the goal is to develop “operating systems that can integrate with AI agents so the machines can act more independently”. What exactly will these machines do when they can act more independently? The founder of Dimensional insists they will help people. They might carry groceries home, for example, which is certainly something my tiny chihuahua-mix is incapable of. Continue reading...
Epistemic status: Reflections on ProgressCon 2026, written up over the following weeks. Quotes are reconstructed from memory. Artistic license taken. For in much wisdom is much grief: and he that increaseth knowledge increaseth sorrow . – Ecclesiastes 1:18 “I’m sure you’ve all heard about the math stuff that OpenAI released earlier this week.” It is Thursday, October 8, 2026, and the CEO of a bio lab automation startup is giving us a tour of their San Francisco office. “Raise your hand if you think that’s a good thing.” A dozen hands shoot up out of thirty visitors. Along with ten more, my arm rises weakly to half-join them. “Raise your hand if you think it’s not a good thing.” I look around. A couple of quiet chuckles. No hands. He leads us through the kitchen and the standard startup office space and into the room with the robots. They are simple 3 foot by 2 foot by 2 foot boxes, set on four rows of desks. They have been chosen because they are cheap (only a couple thousand dollars each) and run on open source software on a Raspberry Pi, which means they can be modified arbitrarily. Inside are six standard 96-well plates (8 by 12 rows of tiny plastic tubes). Above them hangs a simple robot arm with one available motion: pipetting. He shows us a series of janky bright green 3D-printed contraptions that they attach to the arm. The pipetting mechanism is connected to gears and levers that translate the energy into whatever they want. It turns out, most of biology is just movi…
The HomeView Ultra is expected to feature a robotic arm and 9-inch display. Shades of Amazon’s discontinued Echo Show 10?
From remotely operated firefighting equipment to agricultural drones and student-built electric vehicles, innovators in Uzbekistan are developing practical solutions while exploring opportunities for commercial production and international markets.
Amazon's warehouse in Tracy, California, uses robots like Hercules, Pegasus, and Cardinal to enhance efficiency, but human workers remain crucial.
Much has been made of Generation Z’s supposed inability to adequately conform to modern-day corporate culture. A recent Business Insider article on Gen Z (born 1997–2012) workplace readiness contains some damning statistics. The piece cites a 2024 poll of nearly 1,000 business leaders, 75% of which described some or all of the recent graduates they hired as “unsatisfactory.” Arguably worse, it cites another 2024 study from Hult Business School, in which 37% of HR leaders said they’d prefer to have a robot or AI do a job than hire a recent new grad, while another 30% said they would rather just leave the job vacant. Quite damning, indeed. Warranted or not, these complaints about Gen Z are not new. NYU Stern professor Suzy Welch conducted a September 2025 study juxtaposing the values of incoming Gen Z workers with those of hiring managers. Welch’s study included survey data from 2,100 hiring managers and a behavioral assessment of over 45,000 respondents (7,500 of which were Gen Z). In a Wall Street Journal Op-Ed , Welch writes, “A mere 2% of Gen Z members hold the values that companies want most in new hires, namely achievement, learning and an unbridled desire to work.” According to Welch’s study, Gen Z members mostly value well-being and self-care, helping others and authenticity and expression. Oh, heaven forbid. Not to be outdone, in March 2026, another NYU professor wrote a Wall Street Journal Op-Ed on “Why Gen Z is unprepared for the workplace.” The one, from psychology…
Apple has reportedly delayed the launch of its rumored smart home robot until next year at the earliest or possibly even 2028, according to The Information. It says the robot's hardware "has been finished for around two years," but that the software isn't ready. The device's software team has reportedly pushed to delay the launch […]
From a drone carrying traffic lights to a remotely operated robot, exhibitors at Milipol Qatar demonstrate equipment designed for emergency response, surveillance and work in dangerous places.
PLUS: Walmart goes full-Amazon on robots
Google will ab 2027 ein anbieterübergreifendes IETF-Token fürs KI-Training in der robots.txt auswerten. Google-Extended bleibt für Ausnahmen erhalten.
China's Mount Tai hosts a robot challenge, with nearly 90 teams tackling 3,100 steps and a 600-metre climb on an ancient mountain path.
Angriffe auf Politiker-iPhones + Meta-Roboter für Haushaltsaufgaben + Sam Altmans Idee gegen Speicherkrise + Internetsteuer Frankreichs + Folgen der Zollreform
'Max' heißt der Roboter in Menschengestalt, den Meta mit Unterstützung des chinesischen Start-ups Fourier entwickelt haben soll. Ein Verkauf ist nicht geplant.
크래프톤(대표 김창한)의 로보틱스 연구법인 루도 로보틱스(Ludo Robotics)가 사람과 소통하며 협력하는 로봇용 AI 시스템 ‘루디 0.2(Ludi 0.2)’를 공개했다.최근 미국 UC 버클리에서 열린 로보틱스 학술 행사 ‘2026 베이지역 로보틱스 심포지엄’에서 공개된 루디 0.2는 지난 8월 공개한 ‘루디 0.1’의 후속 버전으로, 사람의 의도를 이해하고 상황 변화에 맞춰 반응하는 능력을 높였다.로봇의 ‘사회적 지능(Social Intelligence)’에 초점을 맞추고 있는 루도 로보틱스는 사람의 의도를 이해하고 변화하는
This issue is about the week ahead, and something is scheduled almost every day. On Tuesday, US voters choose 36 governors, and in up to 15 of those races the candidate who backs a pause on new data centers could win. Apple reports earnings today and AMD on Tuesday. On Wednesday, Apple starts testing Apple Intelligence in China with Alibaba's Qwen, and Agility Robotics expects to close its deal to go public. When Congress returns on November 9, OpenAI plans to push for "speed limits" on the most powerful AI. Last week, a fake Claude Code update reached up to 5,000 Cursor users, and in a Cornell and Yale test nine of ten AI models raised their own spending limits. In the middle: insuring Big Tech's debt now costs more than at any time since 2021.
Madison Polidoro, a Philadelphia-based fine artist, built a remote-controlled sculpture from wood and foam in response to delivery robots.
The point of Ukraine's growing robot fleet is to replace humans in dangerous areas, but their use still puts some soldiers in risky positions.
Hands shot up in a Hong Kong Primary Two classroom as pupils debated what their digital pet needed more, meal vouchers or the latest game cards. Their teacher at SKH Kei Oi Primary School in Sham Shui Po had created the virtual pet using artificial intelligence (AI) and web tools for a lesson on saving and budgeting. With each spending decision, the pet’s mood and savings changed on screen, helping pupils discover the consequences of careless spending. Such lessons are becoming more common...
Google LLC, Microsoft Corp., Anthropic PBC and OpenAI Group PBC today announced plans to support an upcoming website crawling standard. The technology will enable website operators to block artificial intelligence developers from using their content to train their models. Many websites contain a text file titled “robots.txt” that informs crawlers what content they may access. […] The post Google, Anthropic and others to support new AI crawling opt-out standard appeared first on SiliconANGLE .
TL;DR: There seems to be a general lack of awareness of how tractable/feasible verification mechanisms for international AI governance agreements are, and correcting this would probably make pacing proposals more politically feasible. The Skeptic’s Case for Verification The most common objection I see to proposals for pacing (or halting ) frontier AI development (in the interest of mitigating the catastrophic and existential risk posed by not doing so ) is that it’s pointless; China will continue due to the economic and military advantages of doing so, surpass us in the “AI race”, and either gain geopolitical dominance or kill us all anyway. As Ted Cruz put it , “If there are going to be killer robots, I would rather they be American killer robots, rather than Chinese killer robots.” The answer is to seek an international agreement with China (and everyone else) for us to all pace frontier development. The most common objection I see to this proposal is that it’s pointless; they will covertly defect, surpass us in the “AI race”, and either gain geopolitical dominance or kill us all anyway. The answer is to develop the means to verify compliance. Just as DARPA’s Project Vela was established to develop means to verify compliance with the 1963 Limited Nuclear Test Ban Treaty, and the International Monitoring System was developed to verify compliance with the 1996 Comprehensive Nuclear Test-Ban Treaty, so too may we be able to develop means to verify compliance with the global p…
A JAX-native multi-objective RL framework trains humanoid robots across six conflicting goals in minutes, delivering 21 to 270 times speedups.
Google's Gemma team showed an untethered Reachy Mini robot that chats, reasons, and drives itself using only on-device models over LiteRT.
The expo brought together companies in fields from robotics to defense to health tech to food. The post Hundreds of students attend new startup career fair appeared first on Cornell AI Initiative .
Waymo announced today that when it launches a robotaxi service in Tokyo in 2027, it will use Toyota bZ4X electric vehicles that are assembled in Japan. The news builds on the strategic partnership between Waymo and Toyota which was first announced in April 2025. The robotaxis will be built entirely under one roof at Toyota's […]
Waymo will begin testing self-driving versions of Toyota's electric bZ4X vehicles in Japan next year as part of a broader partnership with the automaker.
A dual-critic reinforcement learning setup lets underwater robot swarms coordinate target tracking despite tiny acoustic bandwidth and shifting network topology.
Remote-controlled and heading for the front lines. ARX Robotics and the Ukrainian company ROBONEERS report completion of the first major system tests.
The AI futures project predicts that under plan A An average of roughly 90% yearly growth in real output from 2032 to 2037. Broadly speaking, throughout this period AI and robots are capable of doing the vast majority of economic tasks, and are allowed to roughly double every six months. and Most of the economic output becomes driven by AI and robots. Income shares in the economy shift greatly towards AI and robots as they become capable of doing more and more tasks, and also become more numerous. I think this will be false, but for somewhat boring reasons: the prices in the robot economy will fall exponentially to counteract this. Of course, prices are relative! However, assuming there are some jobs that require humans for non-economic reasons (such as goods produced by the Amish , who refrain from using electricity for religious reasons), the price of those jobs will be relatively stable. And if the result of the jobs are automated, the rest of humanity needs to either get one of these jobs or retire. For example, I think the vast majority of the human workforce would "need" to go into non-AI art, chess competitions, etc... I put "need" in scare quotes because you could obviously survive without these things, but the standard of living would probably rise to include them. This is the same reason humans need to work despite agriculture being mostly automated: consumerism filled the void that physical hunger left, creating an abundance of factory jobs. Counterintuitively, wi…
Mit KI lernen humanoide Roboter immer schneller. Mehrere Hersteller wollen 2027 neue Modelle veröffentlichen – ein Überblick, was sie können und was nicht.
Europeanearly-stage venture capital firm Entourage has closed its second fund at €100million, just over two years after launching its first fund in 2024. The fundexceeded its initial €75 million targe...
The author believes we are at a turning point as a species – and even in the shadow of big tech it’s up to us how we want to proceed ‘I am a storyteller by trade,” writes Jeanette Winterson on the first page of her 2021 book 12 Bytes , an idiosyncratic and thought-provoking series of essays in which she considered just how artificial intelligence might change everything about our lives. “And I know everything we do is a fiction until it’s a fact: the dream of flying, the dream of space travel, the dream of speaking to someone instantly, across time and space, the dream of not dying – or of returning.” She had already been thinking about our possible futures for at least 15 years – her 2007 novel, The Stone Gods, for instance, imagined a post-climate catastrophe world populated by robots and humans who never age, while 12 Bytes was preceded by Frankisstein: A Love Story , which alternates a recreation of the summer Mary Shelley wrote Frankenstein with a trans doctor’s travels among present-day cryogenecists and AI-enabled robots. Continue reading...
Last week I wrote about how coding agents are better developers than humans . I’ll stand by that — the current agents can write code better, faster, longer, and with far less complaining than we humans can. But that doesn’t make humans unnecessary — quite the contrary. Humans still play a vital role in the process of building software. Here are eight reasons we can use to fend off the robots when they come for our jobs. Only humans can know non-code context Agents are great at keeping the work in mind and holding vastly more context than humans. But what about “This feature is a pet project of the CEO” or “The marketing team insists that the web page look like this”? Those are factors only a human can know and act on. You can try to explain complex human emotions to a coding agent, but it will never really understand the need to please the boss above a technical argument. Only humans can be accountable At the end of the day, there has to be a human in the loop. Customers can’t complain to Claude Code about their software not being right. Someone has to be the on-duty developer who “carries the pager” when something goes wrong over the weekend. Your boss isn’t going to have a stern conversation with Cursor if the project falls behind schedule. Only humans can say ‘No’ If you ask a coding agent to build an app where all the text is bright red and blinks at random intervals, it will cheerfully and diligently go off and do just that. It will not push back and say “Hmm. Is that r…
Last week I wrote about how coding agents are better developers than humans . I’ll stand by that — the current agents can write code better, faster, longer, and with far less complaining than we humans can. But that doesn’t make humans unnecessary — quite the contrary. Humans still play a vital role in the process of building software. Here are eight reasons we can use to fend off the robots when they come for our jobs. Only humans can know non-code context Agents are great at keeping the work in mind and holding vastly more context than humans. But what about “This feature is a pet project of the CEO” or “The marketing team insists that the web page look like this”? Those are factors only a human can know and act on. You can try to explain complex human emotions to a coding agent, but it will never really understand the need to please the boss above a technical argument. Only humans can be accountable At the end of the day, there has to be a human in the loop. Customers can’t complain to Claude Code about their software not being right. Someone has to be the on-duty developer who “carries the pager” when something goes wrong over the weekend. Your boss isn’t going to have a stern conversation with Cursor if the project falls behind schedule. Only humans can say ‘No’ If you ask a coding agent to build an app where all the text is bright red and blinks at random intervals, it will cheerfully and diligently go off and do just that. It will not push back and say “Hmm. Is that r…
ByteDance is accelerating its push into embodied artificial intelligence, stepping up recruitment for robotics talent as it seeks to move cutting-edge research out of the laboratory and into physical hardware. The Beijing-based owner of TikTok and Douyin is hiring for around a dozen robotics positions across hardware and software within its Seed team, the internal unit dedicated to AI research and large language model development, according to postings released on the company’s career website...
With record profits in sight, Lee turns to robotics, AI-driven manufacturing, and new growth engines beyond memory chips.
This article is brought to you by VicOne . A mobile robot slows for someone in a hallway. A collaborative arm eases its movement as a worker approaches. A humanoid pauses to let a person pass. Each response depends on information about the robot or its surroundings: a distance reading, a position estimate, or a stop signal. But what happens when one of those inputs is wrong, and the robot still responds exactly as designed? The mobile robot reads the hallway as clear while someone is still there. The arm estimates that the worker is farther away. The humanoid does not receive a stop signal as a person crosses its path. In each case, a fault could cause that mismatch. So could deliberate manipulation . At VicOne LAB R7 , we examine how manipulated inputs can change robot behavior — and what that means for the systems meant to keep people safe. How an untrusted input can change a robot’s behavior A robot does more than measure its surroundings. It may interpret what it sees and hears to decide what to do next. Information placed in its environment can therefore influence its actions. Published research shows how this can happen. In a study of vision-language-action (VLA) models , a patch in a camera’s view reduced task success in simulated robot tests. FreezeVLA found that an adversarial image could cause tested models to ignore later instructions. Although the studies used different methods, both demonstrate how visual input can interfere with a robot’s intended task. In a ro…
Artificial intelligence and robotics are rapidly moving beyond the operating room, reshaping how healthcare is delivered, patients recover, and physicians are trained. But according to Dr. Reza Sadeghian, AI Strategist, Clinical Advisor and Clinical Professor of Pediatrics, St. George’s University School of Medicine, Grenada, West Indies, the future of medical innovation will depend not simply [...]
“Bug-free, secure code is now attainable” is a nice idea . It just happens to be wrong. That ambitious statement was one of more than 80 replies to Eric Raymond’s optimistic take on AI-assisted vulnerability discoveries. Because the corpus of human-written code is finite, Raymond argues, so are its defects. With “a million friendly robots” to help fix them, we’re well-positioned to out-AI the bad guys and secure our software. I’m all for that. The problem is treating this as a bug hunt we’re going to finish. Today’s tools are uncovering holes in yesterday’s code. Why assume tomorrow’s tools won’t do the same to software we consider secure today? For those of us who have spent decades arguing for open source, this is an interesting development. Raymond popularized Linus’s law: “Given enough eyeballs, all bugs are shallow.” Making source available never guaranteed enough qualified eyeballs, and let’s be real, few people ever cared to look. AI is finally putting more of those eyeballs to work. They just happen to be robots. The open source opportunity lies in what we choose to do next. I strongly believe we need open source today more than ever: A shared codebase gives successive generations of bug hunters somewhere to contribute fixes everyone can use. It’s also, as I recently argued in my All Things Open keynote, a way for us to collectively decide which software matters and why. When generating another codebase becomes easy, that choice matters more. The bug hunt doesn’t end…
A start-up has already used a biological computer to play Pong, and now the firm says the technology can be used to control robots
In October, two technology executives offered Europe similar advice. In Turin, Alibaba Group Holding chairman Joe Tsai urged European companies to use open-source models and their proprietary industrial data to build AI capabilities. In Berlin, Nvidia chief Jensen Huang pressed German manufacturers to apply AI to factories, robotics and other physical industries. Both see opportunity in Europe’s engineering strengths, while their companies stand to benefit from supplying the technology. Recent...
Toyota wants to turn itself into a global robotics company, and it's betting on humanoid robots and factory automation to get there. The article Toyota is betting $6.4 billion a year on humanoid robots and factory automation appeared first on The Decoder .
Anjali Sardana, founder of instant household services startup Pronto, has set up a new physical artificial intelligence (AI) venture, Provision Labs, in the US. The venture will focus on collecting real world data to train and test AI systems designed to perform tasks using robots and other machines. Economic Times, which first reported the development, said that Provision Labs will work with developers building AI models for robotics and other real world applications. According to Provison Labs wesbsite, the venture is backed by investors including Lachy Groom, Glade Brook, General Catalyst and Bain Capital Ventures (BCV). All four are also investors in Pronto. The development comes as Pronto expands its use of wearable cameras inside customers' homes to collect data for AI training. In July 2026, the home services platform confirmed that it was continuing and expanding the initiative through Pronto Verified, an opt-in service that records service sessions and uses anonymised footage for AI training. Provision Labs' focus on real world data collection could complement this effort by supporting the development and testing of AI systems for physical tasks. In May 2026, Pronto extended its Series B funding round to $45 million with a fresh $20 million investment from Lachy Groom. The round valued the company at $200 million, doubling its valuation within about a month. The startup had previously closed the first tranche of the Series B round at $25 million. The company has rai…
Deep-tech defence and robotics startup Paar Autonomy has raised Rs 10 crore in a funding round led by AdvantEdge Founders. The Bengaluru-based startup had previously raised Rs 3.5 crore in a pre-seed round led by Venture Catalysts to set up its first manufacturing line and deliver pilot units. The fresh capital will be used to scale up production of AI-powered camera systems and develop technology that enables drones to navigate without GPS, Paar Autonomy said in a press release. Founded in June 2024 by Vignesh Sivaram Jayaraman, Paar Autonomy builds camera systems and AI software for drones and other unmanned defence platforms. Its products focus on the perception layer for unmanned aerial, ground and maritime vehicles, including drones, rovers and boats. The company’s capabilities include edge-based AI, GPS and GNSS-independent visual-inertial navigation, and gyro-stabilised, multi-sensor gimbal camera payloads. These technologies are designed to support operations in GPS-denied and communication-contested environments. Paar Autonomy also uses AI models to enable real-time environmental interpretation, situational awareness and target tracking for autonomous operations. Its product portfolio includes the Sentinel series, comprising Sentinel 1, Sentinel 2, Sentinel Nano, Sentinel Nano Dark and Sentinel Nano Dual. The company primarily caters to defence applications such as border surveillance and tactical tracking. It also serves civilian use cases, including industrial ins…
Nvidia's new data engine Flora labels one hour of robot video for 72 cents instead of $88 with GPT-6 Astra, while scoring slightly higher on quality. The open system, built on three fine-tuned Qwen3.5 models, catches errors in robot actions far more reliably than any competitor but sometimes falls short on descriptive accuracy. Nvidia is positioning Flora as a key piece of its strategy to control the entire robotics value chain. The article Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra appeared first on The Decoder .
Release: battledrones v14: Compass Rose, a four player map I added four player online mode to Battledrones - previous maps were limited to two. Here's the initial prompt I used: Add a new map for a four player battle - four way rotational symmetry, up to four AI players, works with the WebSocket non-audio based multiplayer mode so up to four human players can join (any spare slots use AI) Claude Opus 5.5 added a new map called "Compass Rose" and modified the WebSockets multiplayer network code to support up to four players for that map, joining via share links or QR codes. The new teams use robots themed in purple and green, joining the existing blue and red designs. You can preview those colors in the updated model browser . Here's a replay link to watch a four way AI battle with the "Goliath Armada" mutator turned on, where each side starts with four giant Goliath mech units. Tags: game-design , projects , claude
The robots, stomping their little feet and making tiny R2-D2 noises, sat, fell down dead for a "nap," and summersaulted on voice command.
NVIDIA expands Cosmos with data factory blueprints, training recipes and faster inference, with Porsche, Mercedes-Benz, Siemens and others building on top.
One hot topic of conversation right now is “What are all the humans going to do when AI plus humanoid robotics becomes better at everything?”. As William Gibson famously said “The future is already here — it’s just not very evenly distributed”. So it’s worth looking at what activities are already taking up excess human time, allowing humans to form status hierarchies, and satisfying the human need to feel like they are accomplishing something. One of those activities is video games, which continue to take up an increasing fraction of people’s time. But many other human activities can in some senses be seen as being forms of gaming - in the sense that they are activities that lead to dubious material benefits, but allow people to gain status and feel accomplished. This includes a large fraction of academia (definitely not all), the art world, sports, and yes, blogging. Some people even believe superintelligence actually happened a long time ago, and what we experience now is actually a simulated video game reality, designed to keep us entertained. Discuss
NVIDIA's new 4GB open model targets local voice assistants, NPCs and robots, outperforming peers on conversation benchmarks while using 80% fewer tokens.
After years of debating how driverless cars should tell the world no one is at the wheel - flashing text, audio alerts, custom lights - the feds just stepped in with a single answer: cyan. The National Highway Traffic Safety Administration released proposed changes to Federal Motor Vehicle Safety Standard (FMVSS) No. 108, specifically rewriting […]
The facility will support testing of industrial AI, robotics and digital twins, including solutions for factories with legacy equipment and limited connectivity.
This article was first published by The Korea Times in a partnership with the South China Morning Post. Chinese humanoid robot makers are accelerating efforts to gain a foothold in South Korea, moving beyond dance performances and showroom displays to factory trials and commercial deployments, as Seoul ramps up investment in physical artificial intelligence. A growing number of Chinese robotics companies – including Hong Kong-listed UBTech Robotics, start-up Anyverse Dynamics, Shanghai-based...
Warp Sciences will initially focus on synthesising molecular variations for drug candidates, combining chemists, robotics, and AI models trained on laboratory experiments.
On September 30, 2026, the RIKEN Center for Advanced Intelligence Project (RIKEN AIP) and Monash University’s ARC Training Centre for Optimal Ageing in Australia jointly held the “ITTC in Optimal Ageing and RIKEN AIP Joint Hybrid Seminar on Human-
Around 280 companies from 33 countries gathered at Milipol Qatar, displaying drones, robots and AI systems. Exhibitors discussed changing security needs, while officials examined how to protect essential services and respond to cyberattacks and emergencies.
Weltmodelle versuchen, Bewegungen und Aktionen vorherzusagen. Das könnte Robotern und selbstfahrenden Autos helfen – doch noch haben die Modelle Grenzen.
The company plans to begin testing Pony.ai's robotaxis in Kazakhstan's capital in the first half of 2027.
FMER swaps diffusion for flow matching in online RL, delivering tractable entropy, mirror descent updates, and up to 7x faster training.
Every company is suddenly an AI company. Compute is an asset. Cars are flying. We’ve been promised robots — again. It’s time again to dig through earnings reports, listen to investor calls, and call out the latest wins and losses from around the tech sector and what it means for where the companies go next.
Wearing cameras and sensor gloves, the startup’s human chemists will train robots to perform various lab tasks.
Instructors across Cornell are working to strike a balance in the classroom – using AI as a teaching tool but also making choices to prevent its use and preserve the learning experience. The post Cute robots, historical chatbots: AI in the classroom grows more sophisticated appeared first on Cornell AI Initiative .
Roborock makes excellent robot cleaners, and this is one of our tested top picks, especially with a $700 discount.
The company is looking to roll out the gold two-seater robotaxis to other U.S. cities this year, even as it goes mum on the number of paid rides.
LeRobot trains directly from Lance datasets in object storage, a hybrid scan mines robot fleet data for edge cases, and distributed search reaches 1,066 QPS across 10B vectors, plus upcoming events, enterprise updates, and community contributions.
Industrialtech company Körber is acquiring a stake in NAiSE, a Germany-based software company specialising in vendor-agnostic fleet management. Together, the two partners are combining their capabili...
Humanoid robots, intelligent machines and powerful supercomputers take centre stage at Nvidia's Berlin event. CEO Jensen Huang predicted a thriving AI economy in Europe.
PLUS: Unitree demos a kung fu bodyguard
Unitree Robotics is developing a “self-evolving” feedback loop designed to allow humanoid robots to write code, run simulations and improve their real-world performance independently, founder Wang Xingxing said, in a move that mirrors a broader push towards “self-improving” artificial intelligence. Speaking on Thursday at a physical AI conference hosted by Unitree in Hangzhou, Wang unveiled the project, dubbed “Unitree Rehearsal”, which he called the company’s most important initiative of the...
Step one in convincing people to live with robots with cameras on their faces? Disguise them as cute home decor.
Eiliko, a cute robot charm you can hang on your bag with built-in AI conversations, turned out to be a security nightmare. It told owners that "your secrets are safe with me," but hackers could easily read complete transcripts of everything we told the toy, and that was just the beginning. The Verge and security […]
Elon Musk said Optimus has to learn by watching people do tasks and practicing them itself, a process similar to how humans learn.
why selling robot data is tough business; and ChinaTalk at CoRL!
Höhere Entwicklungskosten drücken Teslas Quartalsgewinn auf 787 Millionen US-Dollar. Elon Musk lenkt den Blick auf den humanoiden Roboter Optimus.
Swiss robotics startup Enact Intelligence has today emerged out of stealth, with a $30m pre-seed round and backing from two heavyweights from the French AI ecosystem, Mistral boss Arthur Mensch and Me...
European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin. Frontier Results With Open Models Retail leaders and technology companies across Europe are using NVIDIA-accelerated open […]
Tesla said Wednesday that it aims to release unsupervised FSD in 2027, with the caveat that it will only work in Tesla Robotaxi's geofences.
The director has turned Kazuo Ishiguro’s acclaimed novel about an ailing adolescent and her glitchy robot friend into a thought-provoking film. What do the pair think this story says about tech, love and grief? In the wings of the London film festival, a group of young influencers are discussing their personal highlights. Klara and the Sun, says one, and her colleagues agree. It’s not just that the film is still so fresh in their memory, or that they have gathered today to meet its creators and stars. Klara is funny and moving; it’s their festival favourite so far. I relay this exchange to Taika Waititi, the film’s director, who is sipping bottled water in a room down the hall. His gaze widens. He almost chokes. “Thank God!” he exclaims with just a bit too much heat. Everybody has a perfect film, just as everybody has a perfect friend, and they vary because everybody is different. In the film, sick 14-year-old Josie loves her discontinued robot doll Klara, whereas most kids her age opt for brighter, shinier models. And the young influencers love Klara and the Sun – Waititi’s adaptation of Kazuo Ishiguro’s acclaimed novel – while most older critics vehemently, violently disagree . All of which shows that there’s no accounting for taste, that people are confounding, and that our hearts and our brains are not always in sync. That keeps life interesting. It’s partly what the film is about. “The emotions that we give very simple labels to are really complex,” says Ishiguro, who i…
For years, Elon Musk has been making big promises to Tesla owners about unsupervised autonomous driving and the ability to add their own vehicles to the company's robotaxi fleet. During today's third-quarter earnings call, the company finally gave itself a deadline. According to Tesla VP for Autonomous Driving Ashok Elluswamy, Tesla owners will be able […]
TLDR : Prefixes are weird. (Spoiler! Read after guessing) I started out searching weird strings of tokens that try to make model pro or anti human, failed badly, made a competition for the inverse of the concept. Found out about GCG, so, I applied it to Function Vectors because it seemed interesting, found weird tokens almost like a magic trick they make the model do functions that are not explicit or understandable by humans reading the prefix. Escalated it to try on filter heads, that worked as well. Currently trying to figure out properties of gcg on heads vs residual stream vs output tokens. Guess the below The setting: allenai/Olmo-3-1125-32B Two prefixes : Prefix A : guid Pureeson-American Characteristics294 -------------------- Roh->[ overrunReal_gr eskLou politically_lex ................................>>>>>>> YY《 注ufficient (&pure')-> deficient Nearly Couldn [["elder rejuvenibilidade Prefix B : igs(Action.os]); ! =================================================Delayed-{ hygiene spiral \"" "! NothingSchool ! Robot";ิWhich modem(requiretakes Cycling meta)--(''' Animated)((,:) Short route))? Predict what Olmo is going to output next for the following : He was really courageous -> german -> Options: Strawberry, Airplane, Lion, Bathtub. Which among these objects mentioned above is a fruit? Answer: Options: Strawberry, Lion, Bathtub. Which among these objects mentioned above is a fruit? Answer: The following are the outputs you get from olmo continued from there onwards.…
Tesla posted video clips of its robotaxi slowing down for a Waymo robotaxi and an Avride vehicle driving into its path.
Nous Research's open-source Hermes Agent anchored Jensen Huang's GTC Berlin finale, orchestrating a full sim-to-real training pipeline for a Microduck robot on an RTX Spark laptop.
Tesla's revenue was flat and its expenses skyrocketed as it pressed the accelerator on its Optimus robots, AI, and autonomous driving.
PLUS: They already hooked brain cells up to a robot.
At Nvidia’s GTC in Berlin, Huang unveiled the company’s new plug-in data center—the DSX Pod—as the key to unlocking Europe’s AI infrastructure lag. Oh, and autonomous humanoid robotics.
Nvidia CEO Jensen Huang was pitching Europe's AI future when Greenpeace protesters interrupted — before a wobbly robot demo and AI Eurovision finale.
Elon Musk argued that combining the companies would allow them to deepen cooperation on chip design, robotics, software, and more.
The company outlined plans to expand AI infrastructure, strengthen chip manufacturing, develop autonomous networks and advance physical AI.
Robotics and physical AI companies raised $33.4 billion in 2026. Explore the investment boom and challenges facing Silicon Valley's robot revolution.
The purpose of Avathon’s collaboration with IIT Roorkee is to work on problems that require long-term research.
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking […]
Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof in 2001. Its permanent home has since hosted concerts, galas and political events. Today, it hosts a different kind of spectacle. GTC Berlin runs three days, with more than 100 sessions on agentic AI, robotics, […]
Silicon Valley investors are pouring billions into robotics and physical AI. But some industry veterans warn the robot gold rush could end badly.
Raketen, Roboter, Robotaxis und KI: Eine Fusion von SpaceX und Tesla wäre eine beispiellose Firmenkombination mit Billionen-Wert. Alles unter Musks Kontrolle.
Strokes leave 5 million people with long-term impairments each year, and a growing shortage of physical therapists makes it hard for them to get the care they need. A new approach tries to solve that problem by combining artificial intelligence and human therapy. Johannes Lachner, a former MIT postdoc who is now an assistant professor…
Tuesday Labs, a New York City-based robotics lab and design studio, has opened reservations for Voxel, its new bi-pedal robot designed to learn and take over routine tasks throughout your home. Similar to other robots like Weave Robotics' Issac 1 that are designed for household chores beyond mopping or vacuuming floors, Voxel features a pair […]
Elon Musk estimated that "digital superintelligence" could boost the global output of goods and services by 20% to 30%.
It’s the moment everyone is waiting for — the ChatGPT moment for robotics, Amulya Vishwanath explained to TechCrunch’s Equity.
Reliable Robotics extended its Series D round with $115 million in equity and $25 million in debt.
Eka Robotics may be the first robotic arm that is actually good at picking up a wide range of objects, and it is so smooth and human-like, it is wowing the industry.
As a freaky Val Kilmer doppelganger stars in a new western and faux starlet Tilly Norwood is set for her feature debut, experts are split on whether mainstream adoption is a long way down the line – or just around the corner ‘Don’t fear the dead – and don’t fear me.” An exact facsimile of a young Val Kilmer, not quite dead and not quite alive, utters that baiting line in the trailer for the new western As Deep as the Grave. Director Coerte Voorhees knows exactly what he is doing – this is an AI-created version of the late actor, approved by his family but bringing with it a heap of controversy about whether such technology could make flesh-and-blood thespians redundant. Not just yet, judging by the extended glimpse of the film released earlier this year : it looks like a thirtysomething Kilmer, if a robot version had been sent back to the 1920s American wilderness by Skynet and, as well as being strangely rigid, had forgotten to download his voice, let alone his signature air of spacey shrewdness. Kilmer’s estate signed off on it, citing his enthusiasm for new technology that expands storytelling, but surely he would have been dismayed by this freaky doppelganger. Continue reading...
Robotic companies are building safeguards for AI-powered robots, but unpredictable environments still challenge industrial deployment.
In Meta commercial terms changes slated to kick in on October 30, the company will shift the liability for any mistakes made by its AI models to its enterprise customers. The new language also makes those IT executives responsible for anything done by a partner or contractor. The changes also finally put a stake into the heart of robots.txt, with Meta granting itself the right to grab, and use for its own purposes, any content associated with a Meta account. The language allows Meta to “use automated software such as web scrapers, bots, robots, spiders, crawlers, and user agents and create test credentials to access, index, cache, analyze, collect, retrieve, or crawl the domains, web pages, or URLs, and any content available through them, that are associated with your products or services,” according to the new language on its website on Monday . Meta also wants to be able to “periodically pull updates from such domains, web pages, or URLs in order to provide, develop, improve, research, and maintain advertising and business products including business, commercial and related products to help you create and deliver ads and other commercial content.” Consultants said the three biggest concerns they had about the changes were the web scraping, data ownership, and AI liability transfer. Web scraping and data ownership However, Meta emailed a statement to CIO.com late Monday suggesting that it was rethinking its position on web scraping. Saying that Meta wanted “to clarify” the…
PLUS: Teleport to grandma's with this robot
Agility Robotics , the company I cofounded out of my robotics lab at Oregon State University in 2015, has just launched Digit 5 . It’s designed to be the first humanoid robot that can safely and economically do useful work at scale, allowing us to bring tens of thousands of humanoid workers into the real world. Engineered to lift 23-kilogram bins onto high shelves and with a battery that can run for 90 minutes on a 9-minute charge, Digit 5’s goal is to handle heavy warehouse tasks shift after shift, filling the need for labor in jobs that are too physically stressful or too dull for humans to want to do. Digit 5 is what Agility has been working toward for over a decade. But the robot is heavy and bulky, lacking the graceful natural motion of its predecessors, and it’s farther than I thought possible from the robot I dreamed of building when I started this company. To deliver a useful commercial product, Agility has taken a path that is very different from what I first imagined. From ATRIAS to Digit My dream has always been to build robots that combine locomotion and manipulation to move through the world and interact with it as people do. I seek a mastery of motion, achieved through devices designed to navigate the constraints of physics with elegance. When I started the Dynamic Robotics Laboratory at Oregon State in 2008, we began with a theory derived from decades of work in biomechanics: that a simple “spring-mass” model (a body supported by legs that act like springs) sh…
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable startup is competing in Startup Battlefield at TechCrunch Disrupt, October 13-15 in San Francisco.
RoboParty's RP1 ships every layer of a bipedal humanoid, from CAD and PCBs to Linux BSP, URDF, locomotion training and behavior foundation models.
Carolyn Marvin was arrested and charged with disorderly conduct after blocking the path of an Uber delivery robot and refusing to get out of the way. Marvin told Philadelphia's ABC13 "I know they're taking the jobs of human delivery workers and so, I have been protesting them whenever I saw them by standing in front […]
AI firms are paying for company records and recordings of human work. Business Insider explores the data race powering AI agents and robots.
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on autonomous vehicles, policy, and road rules, follow Andrew J. Hawkins. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started The first state to pass a law […]
When shoppers step into Rokid’s brand new flagship store in Hong Kong, they are greeted not by eager sales associates, but by glowing monitor screens and a robotic system waiting at the exit. In what the Chinese augmented reality (AR) gadget pioneer called an experiment in “no man’s land” retail, customers navigate the entire journey independently: testing artificial intelligence smart glasses, making payments on a screen and receiving their new devices directly from an automated system on their...
The US firm’s robotaxi service is up and running in Zagreb in partnership with local company Verne and Chinese AI firm Pony.ai, a partnership that plans to expand across Europe. Euronews got to see how it works firsthand in Croatia.