Physical AI5 articles

Physical AI

Articles

  • Generalist AI Releases GEN-1.5: One-Shot In-Context Learning for Robotic Manipulation

    Robotics research startup Generalist AI announced GEN-1.5, an embodied foundation model capable of learning closed-loop physical manipulation tasks from a single demonstration without gradient updates or fine-tuning. The model adapts through in-context physical prompting, mirroring the few-shot learning dynamics originally identified in autoregressive language models. GEN-1.5 processes multimodal inputs including multi-view video, proprioceptive signals, sensor feeds, and natural language instr

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  • Veeda AI Raises 0M+ Seed Backed by Khosla and Radical for Physical AI World Models

    Veeda AI, a Toronto-based foundation model startup established by former Nvidia AI research executive Sanja Fidler, has raised more than $90 million in seed funding. The round was backed by Khosla Ventures and Radical Ventures, marking one of the largest seed financings recorded in Canada. Corporate filings reveal that the company, incorporated in June 2026 as Veeda Innovation, issued 60.6 million seed shares priced at $1 each in late July. Concurrent with the share issuance, Veeda added Radica

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  • Chinese Humanoid Robot Maker Unitree Surges 629% in 04M Shanghai IPO Debut

    Chinese humanoid and quadruped robotics manufacturer Unitree Robotics made its public debut on the Shanghai Stock Exchange STAR Market on Wednesday, August 19, 2026, with shares surging 629% in early morning trading. The listing marks the first pure-play embodied artificial intelligence and humanoid robotics IPO on China's mainland A-share exchange. Unitree priced its initial public offering at 150.80 yuan ($22.36) per share, issuing 40.4 million shares to raise approximately $904 million (4.2

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  • LG Partners with Nvidia on 10,000-Square-Meter Robot Data Factory Targeting 100,000 Training Hours

    LG Electronics hosted senior Nvidia leadership at its Yangjae R&D Campus in Seoul on August 18, 2026, advancing a joint initiative to build physical AI training pipelines and target 100,000 hours of embodied robotics data by the end of the year. The site review took place five days after LG Group and Nvidia signed a strategic memorandum of understanding at Nvidia headquarters in Santa Clara on August 13. The accelerated timeline reflects LG's effort to convert its industrial manufacturing infra

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