Artificial-intelligence developers are buying access to valuable data sets that contain research papers — raising uncomfortable questions about copyright.

There is a C++ API, but there isn’t half the support for other languages that TensorFlow offers. It’s quite conceivable that PyTorch will overtake TensorFlow within Python.

Some companies let you opt out of allowing your content to be used for generative AI. Here’s how to take back (at least a little) control from ChatGPT, Google’s Gemini, and more.

TensorFlow applications can be run on most any target that’s convenient: a local machine, a cluster in the cloud, iOS and Android devices, CPUs or GPUs.

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

The Cloud 1.0 era was dominated by Amazon Web Services. The generative AI boom has ushered in the Cloud 2.0 era. Amazon doesn't have a head start this time, and needs help to catch Nvidia.

AI researchers at Stanford and the University of Washington were able to train an AI “reasoning” model for under $50 in cloud compute credits, according to a new research paper released last ...

And finally, the model must be served, but because of its size, that is a complex and expertise-intensive task. Goals and considerations for IBM’s cloud-based AI supercomputer ...

Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time ...