The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Science publisher Springer Nature is investigating a new machine learning book filled with fabricated, AI-hallucinated citations, highlighting a growing threat to academic integrity.

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024.

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.