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Siemens introduces AI system for automation engineering

ai, AI (Artificial Intelligence), AI in Action, Artificial Intelligence, automation, autonomous, Features, manufacturing, Manufacturing & Engineering AI, physical ai

Siemens has introduced the Eigen Engineering Agent, an AI system designed to plan and validate automation engineering tasks in operational environments. The system uses multi-step reasoning and self-correction to carry out tasks autonomously and operates directly inside engineering platforms, letting it to complete workflows from initial design through to validation. Autonomous engineering workflows The agent […]

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Physical AI: How Vision AI Helps Machines Understand the Real World

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Physical AI is becoming one of the most important ideas in modern AI. Instead of working only with text prompts or digital workflows, physical AI operates in the real world. It has to interpret environments, understand movement, detect risk, and support action in spaces that are constantly changing. That is where vision AI becomes essential.

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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 followed — but the gap between a quantum processor running in a lab and one running a real-world application remains stubbornly wide. NVIDIA moved to close that gap with the launch of NVIDIA Ising, the

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Cadence expands AI and robotic partnerships with Nvidia, Google Cloud

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Cadence Design Systems announced two AI-related collaborations at its CadenceLIVE event this week, expanding its work with Nvidia and introducing new integrations with Google Cloud. The Nvidia partnership focuses on combining AI with physics-based simulation and accelerated computing for robotic systems and system-level design. The companies said the approach targets modelling and deployment across semiconductors,

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Drones get smarter for large farm holdings

agritech, ai, AI (Artificial Intelligence), Artificial Intelligence, autonomous flight, Drones, physical ai

Singapore-based DroneDash Technologies and GEODNET have formed a joint venture to be called GEODASH Aerosystems, to build an agricultural spraying drone for large industrial farms. The companies say the near-production drone technology is designed to remove the need to map a field to be treated before each flight, and the need to rebuild flight plans

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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 the ‘cognitive brain’ of robots operating in real-world environments. The model specializes in reasoning capabilities critical for robotics, including visual and spatial understanding, task planning, and success detection — acting as the high-level reasoning model

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Hyundai expands into robotics and physical AI systems

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Hyundai Motor Group is starting to look like a company building machines that act in the real world. The change centres on physical AI: Where AI is placed into robots and systems that move and respond in physical spaces. Current efforts are mainly focused on factory and industrial settings. Hyundai’s move into physical AI systems

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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 reason in space from visual observations. We set up the environment, load the model, prepare multi-view image inputs, and explore how MolmoAct produces depth-aware reasoning, visual traces, and actionable robot outputs from natural language instructions.

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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 in practice. We begin with environment setup, configure the project for Colab’s headless runtime, and then walk through calibration, 2D pose estimation, synchronization, person association, triangulation, filtering, marker augmentation, and OpenSim-based kinematics. As we progress,

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Asylon and Thrive Logic bring physical AI to enterprise perimeter security

ai, AI (Artificial Intelligence), Artificial Intelligence, physical ai

Exciting times are ahead in the world of enterprise perimeter security with a new partnership between Thrive Logic, an AI agent-driven security and operational intelligence platform, and Asylon, a security robotics company. Together, the companies are to introduce physical AI into the network edge security arena, combining “autonomous perimeter patrols with agentic AI analytics and

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