The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Scientist Yi Nian is sharing his machine-learning expertise with the world in his latest co-authored publication, “Globally Interpretable Graph Learning via Distribution Matching.” SEATTLE, Wash. - ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Graph-based machine learning is the next wave of digital disruption Machine learning has been getting a lot of attention over the last year or so. This is partly because a variety of companies have ...

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

This year’s coveted Tao Li Award has gone to Jundong Li, an associate professor of electrical and computer engineering and computer science at the University of Virginia. Li, feeling “genuinely ...