Deep Neural Network Learns to Judge Books by Their Covers 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 ...

Known as deep learning, or neural networks, this technology has been around since the 1940s, but because of today’s exponential proliferation of data — images, videos, voice searches, browsing ...

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. ... He is also the author of several books on Windows programming.

Deep neural networks need much less processing power to do the same tasks. It’s easy to imagine a future where anyone can run those models on a laptop in the field.

Deep neural networks are showing that such specializations may be the most efficient way to solve problems. The computational neuroscientist Daniel Yamins, now at Stanford University, showed that a ...

The deep neural network he developed classifies particle signals with 99.8 percent accuracy in real time, on a system that is relatively cheap and portable for point-of-care applications, as shown ...