A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

The latest announcement from the National Intellectual Property Administration indicates that Nantong Binary Software Technology Co., Ltd. (hereinafter referred to as "Nantong Binary") has been ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

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 ...

As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer ...

Using these scanners, neuroscientists can create unique “neural fingerprints” of an individual’s brain. Researchers contrast the difference between traditional brain scanners and OPM-MEG devices as ...

As we delve deeper into the realm of artificial intelligence (AI), we find ourselves pondering more and more about its ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...