The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...

Federal agencies are using artificial intelligence to analyze vessel patterns in the Strait of Hormuz and beyond to end the ...

At Evo 2026, we spoke with ArcSystem Works and Marvel Games to discuss Marvel Tokon's recent changes made in response to beta ...

This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...

Abstract: Graph convolution networks (GCNs) have been applied in a variety of fields due to their powerful ability in processing graph-like data. However, the massive number of hyperspectral pixels ...

Homomorphic spaces generated by advanced LMs yield excellent recommendation performance. Semantic similarities in language representations may imply user preference similarities. The complicated user ...