Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

株式会社東芝は16日、機器の稼働音を解析し、劣化の兆候を高精度に捉える音響劣化推定AI「VAE-DE（Variational AutoEncoder-based Deterioration Estimation）」を開発したと発表した。 東芝では、稼働音による機器の状態監視においては、AIを用いた監視技術の開発が進んで ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

MIT researchers used AI to develop novel antibiotics NG1 and DN1, effective against drug-resistant gonorrhoea and MRSA, offering a promising strategy to combat antimicrobial resistance globally.