Learn what MaxOut is, how it works as an activation function, and why it’s used in deep learning models. Simple breakdown for ...

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and ...

At 12 weeks, patients treated with ENV-101 showed statistically significant increases in lung volume compared with those receiving placebo.

The result is the world’s first deep learning exchange correlation (XC) functional, which achieves high accuracy without sacrificing speed. Microsoft’s new deep learning-powered DFT model has the ...

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, ...

Fans of EA Sports College Football 26 are awaiting deep dives on the new features for the latest edition of the NCAA video game. Here's what we know.

When using deep learning to design new social and economic mechanisms, a number of methodological issues arise. One significant problem is due to the joint nonstationary dynamics of learning in the ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

The lag in funding extends far beyond D.E.I. initiatives, affecting almost every area of science: chemistry, computing, engineering, materials and more.

Our results suggest that a deep learning model can estimate biological age from face photographs and thereby enhance survival prediction in patients with cancer. Further research, including validation ...

The test that is meant to make sure the results of a forward pass in frugally-deep are the same as in Keras fails when I use a Leaky ReLU activation function in any one of the following three ways: ...