An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Researchers in Finland have combined virtual drug screening with machine learning (ML) – carried out on supercomputers – to dramatically shorten the time taken to identify candidate molecules ...

In this article, an underwater monocular depth estimation method based on physical-guided Transformer (UPGformer) is proposed, considering the characteristics of underwater imaging, including shallow ...

Decoding speech from neural recordings has critical importance in application and scientific research. However, this task is still challenging with non-invasive recordings. Previous research has shown ...