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Researchers at Physical Intelligence Introduce π-0.5: A New AI Framework for Real-Time Adaptive Intelligence in Physical Systems
Designing intelligent systems that function reliably in dynamic physical environments…
This AI Paper Introduces an LLM+FOON Framework: A Graph-Validated Approach for Robotic Cooking Task Planning from Video Instructions
Robots are increasingly being developed for home environments, specifically to…
Sensor-Invariant Tactile Representation for Zero-Shot Transfer Across Vision-Based Tactile Sensors
Tactile sensing is a crucial modality for intelligent systems to…
NVIDIA AI Releases HOVER: A Breakthrough AI for Versatile Humanoid Control in Robotics
The future of robotics has advanced significantly. For many years,…
Optimizing Imitation Learning: How X‑IL is Shaping the Future of Robotics
Designing imitation learning (IL) policies involves many choices, such as…
Google DeepMind’s Gemini Robotics: Unleashing Embodied AI with Zero-Shot Control and Enhanced Spatial Reasoning
Google DeepMind has shattered conventional boundaries in robotics AI with…
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The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
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Why Machines Learn: The Elegant Math Behind Modern AI
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Nexus: A Brief History of Information Networks from the Stone Age to AI
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The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
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