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Gartner outlines four AI tiers in warehouse automation

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Gartner reports that warehouse automation now spans four operational AI tiers as logistics operators transition from software trials to live facility deployments. In an analysis released this month, the research firm concludes that logistics infrastructure has reached a clear adoption threshold. Three pressures are driving this change across the sector. Persistent worker deficits make automated […]

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Lidl deploys driverless truck for store deliveries in Germany

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Lidl has started using a cab-less autonomous electric truck for regular store deliveries in Germany, assigning it a daily replenishment route between its Edermünde distribution centre and a nearby store. The truck, supplied by Swedish freight technology company Einride, operates at SAE Level 4 under a permit from Germany’s Federal Motor Transport Authority, or KBA.

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Microsoft AI CEO criticises Anthropic over model ‘rights’

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Microsoft AI CEO Mustafa Suleyman warned that Anthropic risks AI alignment failures by training Claude to view itself as a conscious entity deserving of legal rights. Suleyman targeted Anthropic’s January 2026 constitution, a primary training document designed to govern the model’s values and behaviour. He argued that coaching sequence completion engines to emulate sentience impairs

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Microsoft AI opens review on Humanist AI Code of Conduct

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Microsoft AI has published a draft Humanist AI Code of Conduct, opening a six-week public consultation on operational constraints for model training and deployment. The draft serves as a technical manual defining system behaviour, operational boundaries, and oversight protocols across MAI frontier models. It builds on the division’s humanist superintelligence framework announced last November, establishing

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Supply chains detect fast, act slow: How AI agents fix it

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Supply chain disruption cost businesses about $184 billion in 2025, according to the J.S. Held Global Risk Report, and most of that bill still buys faster detection, not faster action. That figure is usually treated as weather (i.e. storms happen, costs follow.) Treated as a product specification instead, it highlights an operating model that can

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AI weather forecasting enters the energy market as Google targets grid operators with WeatherNext 3

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Google’s newest AI weather forecasting model predicts wind speed at 100 metres above the ground, roughly the height of a modern wind turbine. It also forecasts cloud cover and how much sunlight reaches the surface, and it updates every hour. Energy traders, grid operators and wind and solar developers already pay other companies for that

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Motional and MIT AI explains self-driving car decisions

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Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in autonomous vehicle AI. The work, published in Nature, comes from a team at Motional that includes CEO Laura Major, working alongside researchers from MIT’s Computer Science and Artificial Intelligence Laboratory. Their proposed method,

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Google tests AMIE for clinical video consultations

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Google’s research medical AI system, AMIE (Video), conducted synchronous video consultations with professional patient actors and received clinical evaluator ratings on par with primary care physicians across several core measures. Fifteen trained actors portrayed conditions across cardiopulmonary, abdominal, HEENT, neurological or psychiatric, and musculoskeletal presentations. Google says studies involving real patients and their own health

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Novo Nordisk and AWS bring agentic AI into drug discovery

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Novo Nordisk is expanding its use of AWS artificial intelligence tools across drug discovery, including AI agents for target identification, therapy design, and research workflows. Under the agreement announced recently, AWS will become Novo Nordisk’s preferred cloud provider and strategic AI partner. The companies have also created a co-innovation hub at Novo Nordisk’s existing London

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Why health AI interfaces must adapt to user expertise

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MIT researchers and collaborators found that AI explainability tools in the health sector can produce sharply different results depending on who uses them. When applied to skin disease diagnosis, non-experts improved their accuracy with AI assistance, although the improvement largely came from deferring to the model. Primary care providers showed a different pattern: they performed

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