According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...