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SAP brings agentic AI to human capital management

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According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across recruiting, payroll, workforce administration, and talent development. Behind the user interface, these […]

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Nissan turnaround plan pins hopes on ‘AI-defined vehicles’

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Japanese carmaker will add self-driving abilities to 90% of cars in future and cut a fifth of its modelsNissan has said it will add self-driving abilities to the vast majority of its cars and cut a fifth of its models in the latest stage of the Japanese carmaker’s drawn-out turnaround efforts.Ivan Espinosa, Nissan’s chief executive,

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The Download: the state of AI, and protecting bears with drones

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Want to understand the current state of AI? Check out these charts.  If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even

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AI companies make powerful tech – but they’re also savvy marketers

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Anthropic’s Claude Mythos AI is said to be frighteningly capable, but we shouldn’t get carried away by the hypeHello, and welcome to TechScape. I’m your host, Blake Montgomery, the Guardian’s US tech editor, writing to you from my happy village in Pokopia.Tech companies are cutting jobs and betting on AI. The payoff is far from

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NASA is building the first nuclear reactor-powered interplanetary spacecraft. How will it work?

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MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. Just before Artemis II began its historic slingshot around the moon, Jared Isaacman, the recently confirmed NASA administrator, made a flurry of announcements from the agency’s headquarters

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AI learns language from skewed sources. That could change how we humans speak – and think | Bruce Schneier

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Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our ownBecause of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on

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