Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

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.

Use PyTorch if You should use PyTorch if you are a machine learning researcher or AI engineer who values flexibility and a Python-friendly interface.

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

PyTorch, Facebook's Python-based neural network library, is getting deeper integration with Google Cloud as it approaches its 1.0 release.

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.

The nightly version of the machine learning tool was compromised in an attack involving the PyPI repository.

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...

The popular Python Pickle serialization format, which is common for distributing AI models, offers ways for attackers to inject malicious code that will be executed on computers when loading ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...