Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...