News

Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
BW Converting’s Machine Learning Project Selected for New Microsoft AI Co-Innovation Lab in Milwaukee
A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...
Machine learning outpaces supercomputers for simulating galaxy evolution coupled with supernova explosion
Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...
Tech Xplore1d
Quantum machine learning improves semiconductor manufacturing for first time
Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...
IEEE4d
Botnet Detection Approach Using Graph-Based Machine Learning
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges with ...
IEEE5d
Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications - IEEE Xplore
Artificial intelligence (AI) or machine learning (ML) based spatial/temporal-domain beam prediction was studied by Release-18 and is currently being specified by Release-19, in the 3rd Generation ...