Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Search isn't dying—the rules are being completely rewritten. The brands that will thrive in this AI-powered landscape are ...

This expectation has roots in a field whose history is marked by periods of euphoria when the success of a new technique is ...

Researchers led by Hokto Kazama at the RIKEN Center for Brain Science (CBS) in Japan have discovered how animals sense ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Strange Tales #1 hits stores Wednesday with witches, dragons, and D&D gone wrong. What could possibly go wrong when board ...

ESPN MLB analyst Ben McDonald caught some flak for his reaction to the network’s promotion of one of the first NHL games of the season between the Chicago Blackhawks and Florida Panthers. McDonald was ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...