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

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

For neural networks and humans alike, one of the difficulties with advanced mathematical expressions is the shorthand they rely on. For example, the expression x3 is a shorthand way of writing x ...

And programs driven by neural nets have defeated the world’s best players at games including Go and chess. However, neural networks have always lagged in one conspicuous area: solving difficult ...

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Neural network training is time consuming and expensive. In particular, the need for large training sets with pre-labeled data is especially problematic for applications wuch as autonomous vehicles, ...

Researchers at Google's DeepMind built two different kinds of state-of-the-art neural nets to see if they could be trained to answer high school math problems. The result was an E grade, and a ...

As such, a neural network doesn't need to understand every possible function (like a conventional computer would) to generate an answer -- it just needs to know some fundamentals.

But don't forget, compared to your actual brain, this is nothing. Neural networks are lightyears away from the sophistication of even one little cluster of actual, living neurons. Source: 3Blue1Brown ...

The strength of certain neural connections can predict how well someone can learn math, and mild electrically stimulating these networks can boost learning, according to a study published on July ...