AI Insider·
The era of physical AI has arrived. Robots are no longer demonstration projects confined to research labs or factory cages — they are working in live BMW production lines, completing millions of autonomous rides on city streets, inspecting nuclear power plants, and beginning to fold laundry in private homes. The global robotics sector raised $27.6 billion in […]
Read full articleT-Rex's real-time tactile response could revolutionize robotics, enhancing adaptability in dynamic environments and advancing automation capabilities. The post Researchers from UC Berkeley, Nvidia, and Stanford unveil T-Rex framework for robots to respond to physical contact in real time appeared first on Crypto Briefing.
MicroAGI's innovative data collection for AI training raises privacy concerns and regulatory scrutiny, impacting the future of robotics development. The post Micro AGI sends free cleaning staff to NYC apartments for AI training appeared first on Crypto Briefing.
A burgeoning genre of fictional AI doomsday scenarios says lagging behind on the technology could threaten the continent’s sovereignty It’s 2031 and the US and China are about to tear Europe into pieces. The US ploughed vast sums into datacentres and the EU did not. China built robots and Europe did not. American companies “restructured” their workflows around AI and fired people, while EU workers went on long lunch breaks and handed over administrative tasks to the AI model Claude. Continue reading...
Building the physical world’s first agentic AI foundation model, already deployed with Blue Origin, Cadillac F1, and Sandvik, the company is bringing AI out of the digital world and onto […] The post Limitless Labs Raises $20M to Advance Physical AI for Mechanical Manufacturing appeared first on AIwire.
Insider Brief MIT researchers have developed a memory system that allows robots to remember detailed information about large environments and retrieve it using natural-language questions. The study, led by Nicolas Gorlo, a graduate student at MIT, along with Luca Carlone, associate professor in MIT’s Department of Aeronautics and Astronautics and director of the MIT SPARK […]
The Stanford professor’s work gives autonomous systems new frameworks for tackling complex tasks.
Nvidia's ENPIRE hands an entire robot fleet to coding agents like Codex and Claude Code, letting them write training code, test it on real hardware, and improve without a human watching.
If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.
