Google and AWS have expanded how PyTorch works with their in-house AI chips, making it easier to reuse existing libraries.

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

PyTorch has identified a malicious dependency with the same name as the framework's 'torchtriton' library. This has led to a successful compromise via the dependency confusion attack vector. PyTorch ...

Amazon (NASDAQ: AMZN) is mounting a direct challenge to Nvidia’s (NASDAQ: NVDA) longstanding software dominance in artificial ...

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, ...

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 ...

Amazon has unveiled TorchNeuron, a developer tool that lets AI startups deploy PyTorch applications on its Trainium chips ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

AMD and Intel will pool PyTorch CPU optimizations in oneDNN. Here is how runtime tuning to each CPU makes a shared library ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...