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SAP and ANYbotics drive industrial adoption of physical AI

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Heavy industry relies on people to inspect hazardous, dirty facilities. It’s expensive, and putting humans in these zones carries obvious safety risks. Swiss robot maker ANYbotics and software company SAP are trying to change that. ANYbotics’ four-legged autonomous robots will be connected straight into SAP’s backend enterprise resource planning software. Instead of treating a robot […]

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ABB: Physical AI simulation boosts ROI for factory automation

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A new ABB and NVIDIA partnership shows physical AI simulation is driving real ROI in factory automation and solving production hurdles. Manufacturers have often found it difficult to make intelligent robotics work reliably outside testing environments. The core issue is the gap between digital training models and actual factory floors, where lighting, material physics, and

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The firm that never forgets: Rowspace launches with US$50M to make AI for private equity actually work

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Private equity runs on judgment–and judgment, it turns out, is extraordinarily hard to scale. Decades of deal memos, underwriting models, partner notes, and portfolio data are scattered across systems that were never designed to communicate with each other. Every time a new deal crosses a firm’s desk, analysts start from scratch, even when the answers

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Beyond the pilot: Dyna.Ai raises eight-figure Series A to put agentic AI in financial services to work

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The financial services industry has a pilot problem. Institutions pour resources into AI proofs-of-concept, generate impressive dashboards, and then quietly watch momentum stall before anything reaches production. Singapore-headquartered Dyna.Ai was built precisely to break that pattern–and investors are now backing that thesis with serious capital. The AI-as-a-Service company has closed an eight-figure Series A round

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Physical AI is having its moment–and everyone wants a piece of it

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There is a particular kind of momentum in the technology industry that announces itself not through a single breakthrough, but through the simultaneous convergence of many. Physical AI is having that moment right now–and paying attention to where it is coming from, and why, tells you more than any single product launch can. The term

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Google makes its industrial robotics AI play official–and this time, it means business

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When Google folds a moonshot into its core operations, it’s not cleaning house. It’s placing a bet. On February 25, Alphabet-owned Intrinsic–which builds AI models and software designed to make industrial robotics more accessible–officially joined Google.  The company will remain a distinct group within Google, working closely with Google DeepMind and tapping into Gemini AI models and

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AI-Native networks are no longer a 6G promise–MWC 2026 just proved it

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AI-native networks have been a recurring talking point at Mobile World Congress for years. What made MWC 2026 in Barcelona different was the evidence. A cascade of announcements from the world’s biggest telecom vendors, chipmakers, and operators didn’t just reiterate the vision for AI-RAN–they delivered field trial results, commercial product launches, open-source toolkits, and a

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ASML’s high-NA EUV tools clear the runway for next-gen AI chips

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The machine that will make tomorrow’s AI chips possible has just been declared ready for mass production–and the clock for the industry’s next leap has officially started. ASML, the Dutch company that holds a global monopoly on commercial extreme ultraviolet lithography equipment, confirmed this week that its High-NA EUV tools have crossed the threshold from

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Alibaba enters physical AI race with open-source robot model RynnBrain

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Alibaba has entered the race to build AI that powers robots, not just chatbots. The Chinese tech giant this week unveiled RynnBrain, an open-source model designed to help robots perceive their environment and execute physical tasks.  The move signals China’s accelerating push into physical AI as ageing populations and labour shortages drive demand for machines

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AI deployment in financial services hits an inflexion point as Singapore leads the shift to production

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AI deployment in financial services has crossed a critical threshold, with only 2% of institutions globally reporting no AI use whatsoever—a dramatic indicator that the technology has moved decisively from boardroom discussion to operational reality. New research from Finastra surveying 1,509 senior leaders across 11 markets reveals that Singapore financial institutions are leading this transition,

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