Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

Baseten launches a new AI training infrastructure platform that gives developers full control, slashes inference costs by up to 84%, and eliminates vendor lock-in across multi-cloud environments.

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.