Research news on Large language models

Large language models are high-capacity neural sequence models trained on massive text and multimodal corpora to perform language understanding, generation, and reasoning. Current work examines their internal representations, cognitive and social behavior analogies to humans, and limitations in mathematical, causal, and strategic reasoning. Research also addresses alignment with human values and brain activity, safety and security vulnerabilities, privacy and de-anonymization risks, cross-lingual and sociocultural biases, scaling and efficiency laws, and frameworks for tool use, multi-agent interaction, and domain-specific deployment.

Engineering

Researchers test AI on real-world infrastructure

Dynamic Infrastructure, the engineering AI platform for critical civil assets, today confirmed an ongoing research collaboration with the University of Bath's Department of Architecture and Civil Engineering. Working with ...

Robotics

New benchmark tests AI memory for household robots

In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience ...

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