Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.
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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, ...
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
Looking ahead, leveraging China Mobile’s AaaS (Ability as a Service) digital capability platform, the project team plans to build a unified, shareable capability framework and replicate China Mobile ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
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.
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
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