Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that automatically learns ...

Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising finding comes from a study that challenges traditional approaches ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Smiths Detection will collaborate with Neural Guard, a provider of artificial intelligence based automatic detection algorithms, to integrate its threat recognition software with Smiths Detection’s HI ...

What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new ...

In their classic 1998 textbook on cognitive neuroscience, Michael Gazzaniga, Richard Ivry, and George Mangun made a sobering observation: there was no clear mapping between how we process language and ...