New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ...

FREMONT, Calif. -- Your development staff just put the finishing touches on a brilliant new Web-based application. Tens of thousands were invested in the project, and several politicians are already ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...

Google today is announcing the release of version 0.8 of its TensorFlow open-source machine learning software. The release is significant because it supports the ability to train machine learning ...

Poor utilization is not the single domain of on-prem datacenters. Despite packing instances full of users, the largest cloud providers have similar problems. However, just as the world learned by ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A preprint paper coauthored by Uber AI ...

Data science is hard work, not a magical incantation. Whether an AI model performs as advertised depends on how well it’s been trained, and there’s no “one size fits all” approach for training AI ...

HPE highlights recent research that explores the performance of GPUs in scale-out and scale-up scenarios for deep learning training. As companies begin to move deep learning projects from the ...