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.

Consumer & Gadgets

How AI chatbots become better learning coaches

Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what learning is all about: thinking for themselves. Machine learning expert Jakub Mačina is therefore developing ...

Computer Sciences

Making LLMs faster and more efficient across multiple languages

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, and virtual assistants, have become revolutionary tools worldwide. Companies, governments, schools, ...

Energy & Green Tech

Turbo-charging battery research with AI: An ambitious vision

Scientists envision batteries will play a central role in improving the security and cost-effectiveness of America's energy systems. But achieving this requires solving numerous technical challenges, such as designing high-performance ...

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