Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
1hon MSNOpinion
AI agents arrived in 2025 -- here's what's next for 2026
AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...
Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
Despite its status as the largest company in the world with a market cap of around $4.5 trillion, analysts think Nvidia could ...
Science is entering a massive publishing boom, in large part due to artificial intelligence. New research published in the ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...
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