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

TensorFlow.js lets you run machine learning models right in the browser using JavaScript. This quick-start guide shows how to ...

Artifiical intelligence has a number of potentially significant applications in healthcare, from diagnosing patients to developing life-saving drugs. Yet training the robust neural networks for ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...

In an effort "to democratize AI," researchers at MIT have found a way to use artificial intelligence to train machine-learning systems much more efficiently. Their hope is that the new time- and ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

The neural networks that power today’s AI are incredibly powerful, but training them can require entire server farms and huge amounts of energy. A new approach from IBM suggests we may be able to ...

Despite all the advancements in artificial intelligence, most AI-based products still rely on "deep neural networks," which are often extremely large and prohibitively expensive to train. Researchers ...