What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Sukender Reddy Mallreddy, a Salesforce Consultant and data science expert, explains these concepts in his new book, "Real-Time Data Structures: Innovations for Machine Learning with Streaming Data." ...

A study has expanded the earthquake record for the Yellowstone Caldera by 10 times to include 86,276 events from 2008 to 2022 ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

"By leveraging machine learning-based approaches in the design workflow, we can accelerate the design process to truly leverage the design freedom afforded by lattice structures and take advantage ...

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug discovery and understanding of diseases.

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...