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
Emotions are a fundamental part of human psychology—a complex process that has long distinguished us from machines. Even advanced artificial intelligence (AI) lacks the capacity to feel. However, researchers are now exploring ...
Jan 21, 2026
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Computer Sciences
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model ...
Jan 21, 2026
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Computer Sciences
Large Language Models, like ChatGPT, are learning to play Dungeons & Dragons. The reason? Simulating and playing the popular tabletop role-playing game provides a good testing ground for AI agents that need to function independently ...
Jan 20, 2026
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660
Engineering
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, a new study shows that it should not yet be trusted in many lab experiments. The study, published ...
Security
Artificial intelligence models that are trained to behave badly on a narrow task may generalize this behavior across unrelated tasks, such as offering malicious advice, suggests a new study. The research probes the mechanisms ...
Jan 15, 2026
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50
Machine learning & AI
The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked language spoken by more than 38 million people in India—has been developed by researchers at the University ...
Jan 14, 2026
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Computer Sciences
If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems to lose track of the different ideas you have been talking about and how ...
Jan 14, 2026
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Consumer & Gadgets
In the United States, 11% of adults over age 45 self-report some cognitive decline, which may impact their ability to care for themselves and perform tasks such as cooking or paying bills. A team of Washington University ...
Jan 13, 2026
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Machine learning & AI
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models will exceed $1 billion by 2027. Costs are incurred through hardware, including large data centers, ...
Jan 12, 2026
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16
Computer Sciences
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately identify objects—such as ...
Jan 8, 2026
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