A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.

A new deep learning technique developed by researchers at Washington University in St. Louis with collaborators from Cleveland Clinic and University of California Santa Barbara could transform the ...

New technical paper titled “Recent advances and applications of deep learning methods in materials science” from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Key Takeaways Deep learning models can be very complex and understanding their internals can be challenging There are several methods of providing interpretability in machine learning ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep learning to transform ...