Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

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 ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Neural networks are the backbone of ...

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 ...