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.

Computer Sciences

New roadmap for evaluating AI morality proposed

Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing ...

Machine learning & AI

India chases 'DeepSeek moment' with homegrown AI

Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.

Electronics & Semiconductors

AI learns to perform analog layout design

Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process that has traditionally ...

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