Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

Facial Beauty Prediction (FBP): The process of using algorithms to assess and quantify the attractiveness of a face based on various features. Deep Learning: A subset of machine learning that uses ...

used deep learning to predict which antibodies could bind to COVID-19's infamous spike protein. The researchers created input ...

A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging ...

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...

method that combines enhanced EPINN with deep learning models through a transfer learning framework. This novel approach drastically reduces computational costs while achieving high prediction ...

BlueWX, which provides deep learning-based turbulence and wind prediction solutions, announced on the 27th that it has raised 120 million yen in a Series A round. The University of Tokyo IPC led ...