AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
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 ...
The Global Oral Care Market is entering a new era as digital hygiene technologies, AI-powered brushing ecosystems, and personalized oral wellness solutions ...
Morning Overview on MSN
New deep-learning tool flags wild vs. farmed salmon
Artificial intelligence is already reshaping how I read recipes, plan meals, and even argue about nutrition, so it is no surprise that the same tools are now being pointed at one of the most ...
Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Tech Xplore on MSN
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, ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback