Congratulations to BAIR students and faculty for their Best Paper Awards at the recently held #ICRA2025 in Atlanta. BAIR Researchers from Masayoshi Tomizuka's lab and the Berkeley DeepDrive Consortium won the Best Paper in Automation for their paper "Physics-Aware Robotic
ROBOTICS
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Home Robotics Goes Mainstream in 2026 with AI Advances
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Home robotics is going to work in 2026. The intelligence explosion and massive drop in v-LLMs cost is key to having made this trend possible.
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Responsible AI and Ethical Governance in Robotics Leadership
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Responsible AI Is Good Governance: My Journey from Robotics to Ethical Oversight https://
linkedin.com/pulse/responsi
ble-ai-good-governance-my-journey-from-robotics-nicolas-babin-m1dye
… #artificialintelligence #robots #governance #Ethics #innovation #technology @BetaMoroney @Khulood_Almani @Timothy_Hughes @mvollmer1 @mikeflache @RagusoSergio @PawlowskiMario -
Autonomous Vehicles Enable Passenger Rest During Travel
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This is great. I can’t wait for the day when I can go for a nap while my car drives me around.
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Tesla Nvidia Figure AI Top Investment Picks for Long Term
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Tesla pour le très long terme mais le plus gros potentiel, Nvidia, l'etf XLK Figure AI pas encore d'IPO mais un gros potentiel. Ils visent l'IPO pour fin 2025, à surveiller. C'est les valeurs incontournables et "facile".
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Robo-DM: Efficient Robot Big Data Management Paper Nominated
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Congrats to all nominated papers and authors! Our @UCBerkeley + @GoogleDeepMind paper, "Robo-DM: Efficient Robot Big Data Management," is available here: https://
drive.google.com/file/d/1REEkLM
_74hXHVJKhdvzcyq9IQ9zKfRPH/
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World’s First Humanoid Robot Combat Competition Highlights
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Temps forts de la toute première compétition de combat entre robots humanoïdes au monde.
— VISION IA (@vision_ia) 27 mai 2025
Le vainqueur : "AI Strategist", après trois matchs à élimination directe.
Chaque combat se déroulait en trois rounds de deux minutes.
Les points étaient attribués ainsi :
– 1 point pour un… pic.twitter.com/It6IsSk7EBTemps forts de la toute première compétition de combat entre robots humanoïdes au monde. Le vainqueur : "AI Strategist", après trois matchs à élimination directe. Chaque combat se déroulait en trois rounds de deux minutes. Les points étaient attribués ainsi :
– 1 point pour un -
Tesla FSD’s Patience With Mom’s Driving Criticism
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The most impressive thing that Tesla FSD can do that I’ve never seen any human is that it stays calm and doesn’t get upset after my mom criticizes its driving for the whole trip
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Pioneer 10 Challenge: Building the Future of Edge AI
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The Pioneer 10 Challenge is live – and we’re looking for innovators ready to build the future of edge AI. Are you working on solutions in security, retail, robotics, healthcare, or any other edge domain? This is your opportunity to turn ideas into impact using the Metis AI
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Recursion’s TechBio Revolution: Robots and AI Transform Drug Discovery
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Recently, @StrongReporter, host of the SHIFT podcast, visited Recursion’s Salt Lake City headquarters to get a “peek behind the curtain” at our automated labs in action. She talked with cofounder and CEO @RecursionChris about the recent explosion of TechBio companies, biology’s incredible complexity, the benefits of robots, and what’s required to run an industrialized end-to-end drug discovery company at scale. 🔹 Some highlights: ▪️ On pharma’s TechBio transition “This is a multi-trillion dollar industry. About a decade ago there was a set of 6-10 upstarts that wanted to use things like ML or AI to try and discover medicines better. Today there are probably 400-500 of these companies, most of them still very early stage. Recursion is one of the very few of that original wave of companies.” ▪️ On biology’s complexity “Inside of each of us we have trillions of cells, and inside every one of those cells, we've got about 20,000 genes that are expressing about 400,000 different proteins, and there are trillions of interactions of all of those 400,000 proteins. So it is wildly complex, and that's the problem…Today, 90% of drugs that go into clinical trials fail, and it's not because there aren't really smart scientists working on the problem, it's because they're working against this incredible complexity.” ▪️ On enlisting robots “We envisioned a company where we could use robots to generate massive quantities of data, and we could use machine learning and AI to take all of that data and distill it down to find the patterns that actually tell us how biology works so that we could go from failing 90% of the time in clinical trials to maybe failing 80% of the time. I tell the team ‘If we could go to 80% failure rate, we would be twice as efficient as the industry, and you could theoretically cut the price of medicines in half.’” ▪️ On the lab in action “This facility full of robots and a handful of people is doing the equivalent of my entire PhD's worth of data generation about every 15 minutes… You see all of these different workstations, all of these different lights, little arms moving plates around, and this system is running about 20 hours a day, 7 days a week, 50 weeks a year. It's really more like an advanced manufacturing facility than it is like a traditional research lab.” 👉 Listen to the full conversation here: play.prx.org/listen?ge=prx_3…
→ View original post on X — @strongreporter, 2025-05-27 13:23 UTC