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A new arXiv preprint describes a model-based reinforcement-learning framework that assigns hospital requests to heterogeneous robots while adapting to forecast errors and newly arriving work. In a case study using real nursing-task requests from inpatient floors, the authors report near-complete service and lower…
AI Insider reports that NEC’s Orchestrating Future Fund invested an undisclosed amount in Dexmate, a U.S. startup developing the Vega wheeled humanoid robot and an integrated physical AI platform.
An arXiv preprint introduces CIDER, a continual reinforcement-learning framework that, the authors report, lets one robot policy learn six household and industrial manipulation tasks while retaining previously learned behaviors.
A new arXiv preprint describes three deep-learning routes for classifying materials from multisensory touch data and reports that thermal cues were consistently important. The authors say direct classification approached near-perfect accuracy, while models designed to reflect human perceptual stages performed less…
The BBC reports that two UK government-backed schemes in Barnsley will provide AI training, paid placements and practical help for jobseekers.
A new preprint describes an influence-function method intended to identify which training samples shape predictions and estimate spectral errors when ground-truth data is unavailable during space-mission operations.
Transport Topics reports that McLeod Software and Augment have connected Augie, an AI assistant, with McLeod’s PowerBroker system to automate carrier communications, compliance checks and shipment updates.
Researchers propose DELTA, an attention-based encoder that lets a quadruped robot focus on terrain evidence relevant to foot placement while keeping computation fixed as map resolution increases.
A new arXiv paper proposes samplers for discrete diffusion models whose required discretization steps depend on the target distribution’s internal dependence rather than directly on its dimension.
The Japan Times reports that Japanese and Japan-linked firms are using AI, sensors and automation to improve indoor farming as the country’s agricultural workforce shrinks, while high capital and electricity costs continue to threaten profitability.
A new arXiv preprint introduces ConvergeFlow, a flow-based language model designed to end at valid token embeddings without a cross-entropy-trained decoder. The authors prove convergence under stated regularity conditions and report competitive results on OpenWebText, but the abstract does not provide benchmark…
Tom’s Guide reports that Pennsylvania has barred state agencies from signing nondisclosure agreements with data-center developers and removed AI data centers from a fast-track permitting program. The move follows growing concern that communities may not know who is behind projects or how much electricity, water and…
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