Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...
Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – ...
Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...
A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...
Innovative graphene-based solar absorber design with Al, TiN, and Fe layers shows over 95 % absorbance, enhanced by machine ...
Research published in the International Journal of Information and Communication Technology suggests that machine learning ...
Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in ...
Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...
As part of the AMD announcement today at CES 2025, AMD has taken the lid off the latest version of its upscaling tech, FSR 4.
VGH neurologist Dr. Lily Zhou explains how her research is using machine learning to look stroke prognosis in BC.