Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

New AI Model Can Predict Blood Loss In Liposuction. New Delhi, Dec 26 (IANS) A newly developed artificial intelligence (AI) ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at ...

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

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 ...

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

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...