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Category: Physical AI

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OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters
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OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters

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Training frontier AI models is not just a compute problem — it is increasingly a networking problem. And OpenAI just […]

Top 10 Physical AI Models Powering Real-World Robots in 2026
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Top 10 Physical AI Models Powering Real-World Robots in 2026

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Top 10 Physical AI Models NVIDIA Isaac GR00T N-Series (N1.5 / N1.6 / N1.7) Google DeepMind Gemini Robotics 1.5 Physical […]

Google DeepMind Introduces Decoupled DiLoCo: An Asynchronous Training Architecture Achieving 88% Goodput Under High Hardware Failure Rates
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Google DeepMind Introduces Decoupled DiLoCo: An Asynchronous Training Architecture Achieving 88% Goodput Under High Hardware Failure Rates

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Training frontier AI models is, at its core, a coordination problem. Thousands of chips must communicate with each other continuously, […]

NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems
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NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems

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Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have […]

Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI
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Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI

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Google DeepMind research team introduced Gemini Robotics-ER 1.6, a significant upgrade to its embodied reasoning model designed to serve as […]

A Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
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A Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction

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In this tutorial, we walk through MolmoAct step by step and build a practical understanding of how action-reasoning models can […]

A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
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A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim

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In this tutorial, we build and run a complete Pose2Sim pipeline on Colab to understand how markerless 3D kinematics works […]

An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution
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An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution

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In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision […]

Netflix AI Team Just Open-Sourced VOID: an AI Model That Erases Objects From Videos — Physics and All
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Netflix AI Team Just Open-Sourced VOID: an AI Model That Erases Objects From Videos — Physics and All

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Video editing has always had a dirty secret: removing an object from footage is easy; making the scene look like […]

How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows
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How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows

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In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible […]

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