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Genie

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Headlines · 2

  1. AgiBot to invest over ¥200M with 20+ universities on embodied AI talent

    AgiBot said its "YuanSheng ecosystem development plan" has signed its first batch of more than 20 universities—including Peking University, Tsinghua, Zhejiang, South China University of Technology, Shanghai Jiao Tong, Xi'an Jiaotong, Southeast and Sun Yat-sen—to build joint embodied-AI teaching and research platforms. The company will supply more than 1,000 embodied-AI devices spanning its Genie, Lingxi and Expedition wheeled, half-size and full-size humanoids plus KuoTu quadrupeds, and provide its AIMA development platform with LinkSoul, LinkCraft and Genie Studio for curriculum, research and hands-on training; it values the hardware and software memberships at ¥200 million. AgiBot had earlier said the plan would spend over ¥2 billion over five years, and says it has connected with 237 research institutions, 500-plus ecosystem partners and more than 10,000 application developers.

    IT之家 AI · 🔥 5
  2. Databricks details how its AI research team uses AI Runtime for agent-led training

    Databricks published a post describing how its AI research team uses its own AI Runtime (AIR) to train and evaluate the models behind products such as Genie, Smart Routing and AI Functions. The team cites AIR capabilities including GPU preflight checks and health monitoring, cordoning off unhealthy nodes, the AIR CLI with custom Docker containers, automatic MLflow experiment tracking, governed data access through Unity Catalog FUSE mounting, and workload prioritization and preemption to share GPUs across projects. Databricks says agent-led "autoresearch" workflows have driven an 8x increase in the number of training jobs for its AI Functions research, with models ranging from a few billion to nearly a trillion parameters trained on NVIDIA H100 or B300 GPUs, and the largest runs using hundreds of GPUs over days or weeks.

    Databricks Blog · 🔥 4

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