Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...
Info-Tech Research Group has released its 2025 Machine Learning Emotional Footprint Report, which identifies the ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback