GEN-1.5 Robot: A Physical AI That Learns New Tasks in a 3-Second Demo
Generalist AI's GEN-1.5 is a robot foundation model that learns new tasks from just a 3–12 second action demonstration. It achieves immediate learning with zero gradient updates.
Generalist AI's GEN-1.5 is a robot foundation model that learns new tasks from just a 3–12 second action demonstration. It achieves immediate learning with zero gradient updates.
51WORLD announces physical AI infrastructure "AperData" and "AperOne". Using human-worn data collection devices and edge processing, it aims to solve the data generation challenge for robot learning.
A special study by Tsinghua Management Review reveals that physical AI is becoming a core driver of organizational transformation, leading to a shift in innovation paradigms and the reconstruction of governance through human-AI collaboration.
The openJiuwen community has released the Physical AI architecture "Jiuwen Symbiosis" as open source. This article explains the design philosophy that brings real-world perception and action to AI agents.
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