For more than seventy years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup thinks the AI field is due for an update.

Most AI and ML frameworks, including TensorFlow, PyTorch, and Scikit-Learn, are designed with Linux compatibility in mind. Many popular AI research tools, such as Jupyter Notebook, Anaconda, and ...

The AI Action Plan pretty much frees up AI companies to do what they want, but it also supports the use of open source for AI. What that means is one big open question.

Tachyum now fully supports BF16 for use with GCC 13.2 (GNU Compiler Collection); HPC/linear algebra Eigen library optimized for Prodigy Universal Processor; and PyTorch AI framework.

Kyndryl said its Agentic AI Framework has been designed to help enterprises get around the overwhelming complexities that come with deploying AI agents, which must be integrated with dozens if not ...

Before generative AI, Google and Google Cloud were known for ML/AI expertise that led it to, for instance, its popular machine learning training framework TensorFlow. Gale noticed a similar trend ...

AI GSA prioritizes generative AI in FedRAMP authorizations under new framework The framework will initially prioritize chat interfaces, code-generation and debugging tools, and prompt-based image ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data.