Category: AI in Action

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    What LG and NVIDIA’s talks reveal about the future of physical AI

    LG is currently engaged in exploratory discussions with NVIDIA concerning physical AI, data centres, and mobility. Following a meeting in Seoul between LG CEO Ryu Jae-cheol and Madison Huang, Senior Director of Product Marketing for Omniverse and Robotics at NVIDIA, the core operational dependencies required to run complex automated systems are becoming apparent. While the […]

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    Big Tech just proved AI infrastructure spending works. Then it raised the bill anyway

    Every cloud beat. Every capex forecast rose. That is the two-sentence summary of the biggest earnings day of 2026, and it tells you almost everything you need to know about where Big Tech’s AI infrastructure spending actually stands right now. Microsoft, Alphabet, Meta, and Amazon collectively committed somewhere between US$630 billion and US$650 billion in […]

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    AI and MLAI and UsAI Business StrategyAI in ActionAI Market TrendsCybersecurity AI

    IBM launches AI platform Bob to regulate SDLC costs

    To regulate software delivery costs and SDLC governance, IBM is launching Bob, an AI platform built to anchor enterprise engineering. Accumulated technical debt, hybrid cloud structures, and rigid compliance requirements clash with the raw speed of coding assistants. Without boundaries, they generate unmanaged liabilities rather than functional progress. Dinesh Nirmal, SVP at IBM Software, explained: […]

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    AI and MLAI Business StrategyAI in ActionArtificial IntelligenceFeaturesGovernance, Regulation & Policy

    Kakao Mobility details Level 4 autonomous driving roadmap for physical AI

    Kakao Mobility has set out plans to develop Level 4 autonomous driving technologies in-house as part of its physical AI strategy. Kim Jin-kyu, vice president and head of Kakao Mobility’s Physical AI division, presented the roadmap at the 2026 World IT Show conference at COEX in Seoul. His session focused on autonomous driving services built […]

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    NVIDIA and Google infrastructure cuts AI inference costs

    At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI inference at scale. The companies detailed the new A5X bare-metal instances, which run on NVIDIA Vera Rubin NVL72 rack-scale systems. Through hardware and software codesign, this architecture aims to deliver up to ten times lower […]

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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 and UsAI Business StrategyAI in ActionAI Market TrendsCybersecurity AI

    Reversing enterprise security costs with AI vulnerability discovery

    Automated AI vulnerability discovery is reversing the enterprise security costs that traditionally favour attackers. Bringing exploits to zero was once viewed as an unrealistic goal. The prevailing operational doctrine aimed to make attacks so expensive that only adversaries with functionally unlimited budgets could afford them, thereby disincentivising casual use. However, the recent evaluation by the […]

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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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    OpenAI Agents SDK improves governance with sandbox execution

    OpenAI is introducing sandbox execution that allows enterprise governance teams to deploy automated workflows with controlled risk. Teams taking systems from prototype to production have faced difficult architectural compromises regarding where their operations occurred. Using model-agnostic frameworks offered initial flexibility but failed to fully utilise the capabilities of frontier models. Model-provider SDKs remained closer to […]

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    AI and MLAI Hardware & ChipsAI in ActionFeaturesInfrastructure & HardwareManufacturing & Engineering AI

    Cadence expands AI and robotic partnerships with Nvidia, Google Cloud

    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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