Physical Intelligence releases π0.7 model
π0.7 generalizes across dexterous tasks, recombines skills for new problems, and transfers across robots without fine-tuning.
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AI foundation models for robotics
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In short: Physical Intelligence received $600M in funding, accelerating its general-purpose robot learning models despite a competitor's faster model.
π0.7 generalizes across dexterous tasks, recombines skills for new problems, and transfers across robots without fine-tuning.
RLT enables robots to adapt via online RL in hours, boosting speed up to 3× on tasks like screwdriver use and cable insertion.
MEM equips VLAs with short-term video and long-term textual memories for 15-minute tasks. It enables in-context adaptation on complex activities like kitchen cleaning.
Collaborates with Weave and Ultra, showcasing π0.6 model improvements in laundry folding and order packaging autonomy, success rates.
The Sovereign AI Fund has taken a direct stake in two British start-ups: Ineffable Intelligence, an AI lab, and Callosum, a chip business. It also...
Qualcomm Vice President Alex Katouzian is joining Intel to run its PC and physical artificial...
In partnership with the Japanese IT company Fujitsu, Carnegie Mellon University researchers will develop AI-powered machines and robots to tackle labor shortages and other practical...
Project Prometheus, the artificial intelligence lab that Amazon.com Inc. founder Jeff Bezos is...
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