Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

By specifying a dependency graph, the developer expresses all the inter-dependencies between executing nodes. This gives the Intel TBB scheduler the flexibility it needs to efficiently exploit the ...

Google is open-sourcing TensorFlow, the “secret sauce” behind features like intelligent image recognition in Google Photos or the Smart Reply feature that arrived to Inbox last week.

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.