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

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

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 talks about his efforts to identify — and address — the risks posed by AI.

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

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 ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

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.