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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
“Erased and Suppressed” revealed a technical disparity: In the Occupied West Bank and Gaza, Meta’s automated moderation tools needed only an AI confidence threshold of as low as 25 percent to remove ...
Creatives didn’t predict the future. They briefed it. Then someone went out and built it. In 2025, the threat isn’t AI. The ...
“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.
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