Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections—from gene functions and disease mechanisms to ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

Teradata’s 2026 predictions paint a picture of an AI landscape moving beyond hype toward real, measurable impact. Across data ...

As this complexity deepens, a simple truth emerges: classical measurement frameworks cannot keep pace with a system that is ...

Meha Jain uses satellite imagery and machine learning to help smallholder farmers increase their food production sustainably.

Add Yahoo as a preferred source to see more of our stories on Google. When you buy through links on our articles, Future and its syndication partners may earn a commission. The number of learner ...

In this video, we explore a new product’s features and performance. The review covers its specifications, usability in various environments, and presents an overview of its strengths and weaknesses.

Silicon Valley is locked in an AI hiring war, yet the same exhausted résumés keep circulating from one marquee logo to the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...