JD.com Plans a Three-Million-Robot Logistics Network
JD.com has reiterated a five-year plan for millions of robots, autonomous vehicles and drones, backed by AI coordination and a much larger compute cluster.
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Robotics
36 posts
Arm Proposes Shared Capability Tiers for Physical AI and Robotics
Arm is assembling more than 80 partners around a physical-AI development program and a proposed vocabulary for comparing robotic capabilities.
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XDOF’s Robot Data Pipeline Draws a $1.2 Billion Valuation
The young robotics data company is reportedly discussing a new round at a $1.2 billion valuation as annualized revenue approaches $50 million.
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Meta Tests Robots for Hands-On Data Center Work
Meta is testing robots for cable swaps, server resets and inspections while technicians question how automation could reshape their jobs.
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Anthropic Proposes Safety Rules for AI Agents Operating Machines
Anthropic's Model Hardware Standard aims to control how AI agents use laboratory instruments, manufacturing systems and robots before broader release.
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Robot Intelligence Is Still Trapped in Its Data-Hungry GPT-2 Era
Physical AI developers are borrowing simulation and data tools from autonomous driving, while debating whether general robot brains or narrow deployments will advance faster.
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Nvidia Doubles Entry-Level Edge AI Performance With Jetson Orin Nano 2
Nvidia's new compact robotics computer claims twice the inference performance and lower matched-power consumption, with early trials spanning drones and home robots.
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Generalist Reaches $3 Billion Valuation With $200 Million Extension
Generalist's expanded Series B now totals $600 million as investors back its attempt to teach different robots from brief video demonstrations.
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Generalist AI’s Robots Learn New Tasks From Short Demonstrations
Generalist AI is training robots to transfer skills from brief video demonstrations, producing striking improvisation but succeeding only 59% of the time on average.
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Vivodyne Bets Better Human-Tissue Data Can Move AI Drug Discovery Forward
Vivodyne is building robotic laboratories around living human tissue, arguing that AI drug discovery needs causal experimental data rather than more predictions from existing datasets.
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