That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain machine learning, deep learning, NLP, ...

Consciousness has long been treated as philosophy’s most stubborn mystery, yet a growing body of neuroscience is now tying our inner life to specific, testable brain mechanisms. A leading MIT ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

In mathematics, it often happens that baroque, highly technical results disguise beautiful underlying principles. This talk traces the path from the elegant contraction mapping principle to the rather ...

Thinking of getting an electric vehicle? E.V.s tend to be pricier than comparable gas cars, but they have lower maintenance costs. And charging with electricity is typically cheaper than stopping at ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Abstract: Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

Now that the high-drama, pumped-up Paramount-CBS-Colbert story seems to have faded somewhat, the next wave of the story -- from a business perspective -- might be more ground-breaking. Selling ...