Recently, Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive learning-based clustering method for single-cell gene ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

It simply concluded on its own that staying alive helped it achieve its other goals. ... Appeared in the June 2, 2025, print edition as 'AI Is Learning to Escape Human Control'.

Wave Children’s Learning Center in Virginia Beach has reportedly announced an abrupt closure by the end of the business day on Friday.

To address this issue, we introduce a novel MDA prediction method named MVCL-MDA, based on heterogeneous graph meta-path views and network structure view for graph contrastive learning. This ...

We previously introduced a “range corrected” Δ−machine learning potential (ΔMLP) that used deep neural networks to improve the accuracy of combined quantum mechanical/molecular mechanical (QM/MM) ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

A newly published study from the Institute of Electrical and Electronics Engineers (IEEE) presents a novel approach to improving the accuracy and robustness of recommender systems, using a combination ...

In a test run, a unit of Marines in the Pacific used generative AI not just to collect intelligence but to interpret it. Routine intel work is only the start.

Graph Contrastive Learning (GCL) plays a crucial role in multimedia applications due to its effectiveness in analyzing graph-structured data. Existing GCL methods focus on maximizing the agreement of ...