A machine-vision algorithm can tell a book’s genre by looking at its cover. This paves the way for AI systems to design the covers themselves.

Deep Neural Networks Help to Explain Living Brains Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains. Computational ...

Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

The 2012 breakthrough—the deep learning revolution—was the discovery that we can get dramatically better performance out of neural networks with not just a few layers but with many.

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.

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

This guide to neural networks aims to give you a conversational level of understanding of deep learning.

A lab has developed a deep neural network that improves the accuracy of their unique devices for detecting pathogen biomarkers. Sophisticated systems for the detection of biomarkers -- molecules ...

While deep neural networks are all the rage, the complexity of the major frameworks has been a barrier to their use for developers new to machine learning. There have been several proposals for ...

Unfortunately, most tools for neural network visualization focus on image datasets, which spurred research into a tool in production use at Facebook called ActiVis, which is an interactive ...