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.
Business
Sending data centers into space. Building them at the bottom of the ocean. Converting California fairgrounds—and San Francisco's Cow Palace—into massive buildings filled with servers.
Aug 12, 2026
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Machine learning & AI
Large language models are often asked to help users make choices, from what to cook for dinner to higher-stakes decisions, such as screening job applicants or supporting medical triage. As AI is increasingly integrated into ...
Aug 11, 2026
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Hi Tech & Innovation
Researchers at Aalto University, together with international partners, have developed the most accurate model yet of how humans read. The new model uses reinforcement learning, a type of AI used in robotics, to explain—and ...
Aug 10, 2026
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Computer Sciences
Why do we breeze through some sentences in a book or article but have to reread others to comprehend their meaning? A team of linguists and data scientists has found a partial answer in AI—some of this processing parallels ...
Aug 10, 2026
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Hi Tech & Innovation
As AI-powered large language models, or LLMs, grow in power and sophistication, where will their architects turn when someday—as experts predict—algorithms outgrow the limits of general human knowledge and begin craving information ...
Aug 10, 2026
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Hardware
As large language models (LLMs) become increasingly embedded in chatbots, virtual assistants, translation services, coding tools and other AI-powered applications, delivering responses quickly and efficiently has become a ...
Aug 6, 2026
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Computer Sciences
Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate ...
Computer Sciences
Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most ...
Aug 5, 2026
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Hi Tech & Innovation
Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems ...
Machine learning & AI
"We are now, like, in the singularity." These are the words of Sam Altman, CEO of OpenAI, speaking on the Relentless podcast on July 25.
Jul 31, 2026
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