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

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

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

以前、Azure Machine Learningで回帰モデルを作成するやり方について記事を書きました。 機械学習でモデルをトレーニングしたら、それを何らかのアプリで使用できるようにする必要があると思います。 Azure Machine Learningでは、そのモデルをアプリとしてデプロイ ...

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 highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

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 ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...