Google aims to remove a significant obstacle that has limited the broader adoption of its chips by outside developers.

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

Google develops TorchTPU to make PyTorch run more smoothly on TPUs, aiming to challenge Nvidia, broaden cloud AI workloads, ...

Tech giant Google ($GOOGL) is working to cut into chipmaker Nvidia’s ($NVDA) lead in the AI space by improving how its own ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

The goal of a regression problem is to predict a single numeric value, for example, predicting the annual revenue of a new restaurant based on variables such as menu prices, number of tables, location ...

Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...

Since it launched in 2017, Facebook's machine-learning framework PyTorch has been put to good use, with applications ranging from powering Elon Musk's autonomous cars to driving robot-farming projects ...

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP), and ...