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U.S. TRANSCOM deploys randomised AI to secure military logistics

Deploying randomised AI logistics offers military planners a viable defence against adversarial tracking, allowing U.S. Transportation Command (TRANSCOM) to insulate global distribution networks against contested disruption.  Commercial freight software historically prioritises static scheduling, steady delivery windows, and just-in-time routing to eliminate transit waste. In an operational theatre, however, those fixed cadences expose military transports to […]

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AutoScheduler launches warehouse app builder for logistics teams

AutoScheduler has launched its warehouse app builder to let logistics teams build custom tools directly from live facility data. The new software module forms part of the company’s wider Warehouse AI Platform, serving distribution centres that balance inventory, machinery, and labour. Distribution centres routinely depend on rigid enterprise resource planning and warehouse management suites. When

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Toyota’s $6.4bn robotics estimate puts physical AI in focus

Toyota Motor estimates that expanding automation across its factories, group companies, and major suppliers could require around 400,000 robots and annual spending of about 1 trillion yen ($6.4 billion) from 2028. The potential investment was discussed with investors earlier in September, according to Reuters. Toyota has not said whether the full investment will proceed or

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Multi-agent AI systems are taking over supply chain execution

Multi-agent AI systems are taking over supply chain execution as enterprise networks face diminishing returns from static dashboards, pushing logistics directors towards autonomous execution. Predictive demand models display recommendations, yet human planners still clear every action. Multi-agent systems replace that approval stage across targeted operational boundaries. Instead of waiting for weekly scheduling runs, independent software

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Gartner outlines four AI tiers in warehouse automation

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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Adecco Group rolls out Agentforce Coworker to 27,000 staff in 40-plus countries

The Adecco Group is rolling out Salesforce’s Agentforce Coworker across more than 40 countries following a pilot in the UK and France, the staffing group announced on September 15. The group said the rollout brings agentic AI into the daily workflows of 27,000 employees. Agentforce Coworker is Salesforce’s AI assistant for enterprise staff. According to the Adecco

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Microsoft AI CEO criticises Anthropic over model ‘rights’

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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Pony.ai unveils autonomous electric truck for logistics fleets

Pony.ai has unveiled an autonomous electric truck for logistics fleets, developed with GAC Commercial Vehicle for freight supply chains. Unveiled at IAA Transportation 2026, this Level 4 (L4) heavy rig marks the fourth-generation (Gen-4) iteration of Pony.ai’s Robotruck platform. It builds on GAC Commercial Vehicle’s T9 battery-electric truck architecture, with mass production set to start

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Microsoft AI opens review on Humanist AI Code of Conduct

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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Accuracy score results for the post-trained NVIDIA Nemotron 3.5 Lightning AI model.

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

NVIDIA is using Palantir Foundry and cuOpt to automate its hardware supply chain allocation decisions across global manufacturing sites. The company measures operational delivery from wafer-out to first token. This window splits into time-to-rack (the transit from fab output to an assembled data centre system) and time-to-token (which covers power, cooling, networking, and day-one software

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