Category: Physical AI

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    Agentic AIAI and MLAI in ActionArtificial IntelligenceGovernance, Regulation & PolicyPhysical AI

    Autonomous AI systems test governance in physical environments

    Autonomous AI systems are beginning to move beyond software environments and into warehouses, delivery networks, and public spaces. The development is drawing attention to whether current AI rules cover systems that operate in physical environments. Most existing AI governance frameworks have focused on online harms and model outputs, including bias, misinformation, and harmful content. Embodied […]

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    Enterprise AI roadblocks and roadmaps, security and physical AI: Day two at TechEx

    Day two of TechEx North America has been more of a deeper, critical examination of AI in the enterprise, but with a optimistic bent. The AI and Big Data programme opened with reference to what was termed the “AI graveyard” – that is, AI projects that seem to perform well in pilot, but don’t seem […]

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    AI and MLAI in ActionArtificial IntelligenceManufacturing & Engineering AIPhysical AIWorld of Work

    Physical AI moves closer to factory floors as companies test humanoid robots

    British technology company Humanoid will deploy humanoid robots at factories operated by German industrial supplier Schaeffler, Reuters reported. The two companies’ agreement covers an estimated 1,000 to 2,000 robots in Schaeffler’s global manufacturing sites by 2032, according to a Humanoid spokesperson. The companies have not disclosed the contract value. The first deployment is scheduled between […]

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    AI and MLArtificial IntelligenceGovernance, Regulation & PolicyManufacturing & Engineering AIMultimodal AIPhysical AI

    Physical AI raises governance questions for autonomous systems

    Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […]

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    AI and MLAI in ActionArtificial IntelligenceFeaturesManufacturing & Engineering AIPhysical AI

    Sony AI robot beats players as humanoid robot wins Beijing race

    An autonomous table tennis robot developed by Sony AI has competed against and defeated high-level human players in regulated matches, according to Reuters. The system is part of a broader category often referred to as “physical AI,” where artificial intelligence is applied to machines operating in real-world environments. The robot, named Ace, was designed to […]

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    AI and MLAI in ActionArtificial IntelligenceFeaturesManufacturing & Engineering AIPhysical AI

    Siemens introduces AI system for automation engineering

    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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    Drones get smarter for large farm holdings

    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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    Hyundai expands into robotics and physical AI systems

    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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    AI and MLPhysical AI

    Asylon and Thrive Logic bring physical AI to enterprise perimeter security

    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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    Ai2: Building physical AI with virtual simulation data

    Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers building generalist manipulation agents typically frame extensive real-world training as the basis for these systems. For some […]

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