Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before.

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

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 ...

AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

NeurIPS NeurIPS, or Neural Information Processing Systems, is pretty much the biggest gathering for anyone serious ...

Abstract: The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, ...

Google Gemini has gained interactive visualization capabilities, letting users build 3D models, physics simulations, and ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

Apache Spark creator and Databricks CTO Matei Zaharia wins the 2026 ACM Prize in Computing and argues that AGI has already ...