Prof. Kelleher delivered his lecture “Aging, Artificial Intelligence, and Outcomes: Modeling Age in Stroke Risk and Patient ...

Abstract: There has been significant recent work on solving PDEs using neural networks on infinite dimensional spaces. In this talk we consider two examples. First, we prove that transformers can ...

Neurological disorders, such as schizophrenia and bipolar disorder, remain challenging to diagnose due to the absence of objective biomarkers. Current assessments largely rely on subjective clinical ...

A scholar from Kenyon College, Professor of Mathematics Carol Schumacher, is coming to Bates to give two back-to-back talks on Sept. 29 as part of the Annual Richard W. Sampson Lecture Series. Both ...

We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically ...

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 ...

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 ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...