Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
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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, ...
The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of survival predictions, thus, transforming patient outcomes in significant ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
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.
“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...
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