Python isn't the only option for programming machine learning applications: there’s a growing group of developers who use JavaScript to run machine learning models.

Deeplearn.js joins other projects that bring machine learning to JavaScript and the browser, including TensorFire, which allows execution of neural networks within a webpage, and ML.js, which ...

Kite trained its deep learning JavaScript model on 22 million open source JavaScript files. As a result, the company promises it works with popular libraries and frameworks like React, Vue ...

TensorFlow.js and TensorFlow Lite are both very mature at this point. And obviously, ... JAX is a deep learning framework that is built, maintained, and used by Google, ...

“Deep learning technologies are going to be highly important in terms of automation,” says Patrik Wilkens, vice president of operations at TheSoul Publishing, whose universe of well-known ...

Deep learning has also benefited from the company’s method of splitting computing tasks among many machines so they can be done much more quickly. That’s a technology Dean helped develop ...

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here's how to tell them apart.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

The technology on which the Times focusses, deep learning, has its roots in a tradition of “neural networks” that goes back to the late nineteen-fifties. At that time, Frank Rosenblatt ...