Google DeepMind has unveiled Gemini Robotics 2, an advanced intelligence layer for robots that enhances their ability to perform complex tasks with whole-body control and dexterity. This new system allows robots to adapt to new environments and collaborate with other robots, significantly improving their task efficiency. Gemini Robotics 2 includes three models: a vision-language-action model, an embodied reasoning model, and an on-device model optimized for local operation. These advancements could revolutionize the integration of robots into various industries by providing more adaptable and intelligent robotic solutions.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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Gemini Robotics 2 Enhances Robot Intelligence
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