Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Built by IIT alumni and engineers from Flipkart and Uber, padho.ai has launched an AI-powered learning platform that combines ...

LEGO Education’s CS and AI curriculum is designed to build AI literacy by turning students from passive users into active ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

On February 1, Robert Tinney, the illustrator whose airbrushed cover paintings defined the look and feel of pioneering ...

Meet ENIAC, which stands for electronic numerical integrator and computer. "We like to refer to it as the start of the age of computing," Paul Shaffer, an ENIAC historian, said. For context, this ...

The CBSE Class 12 Informatics Practices exam will be held on March 25. As 50% of the 2026 paper is expected to be ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...