Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Researchers Yue Zhao and Kang Pu from Stony Brook University?in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy?have devised a ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials.
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