A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Abstract: Molecule graph generation plays a crucial role in the field of drug discovery, as it can significantly expedite the identification and development of potential drug candidates. Although many ...

COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

BENGALURU Built by IIT alumni and engineers from Flipkart and Uber, padho.ai has launched an AI-powered learning platform that combines a Digital Brain Twin, an advanced interactive learning interface ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

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

Abstract: A great number of graph analysis algorithms involve iterative computations, which dominate the runtime. Accelerating iterative graph computations has become the key to improving the ...

ABSTRACT: We introduce the bichromatic triangle polynomial P G Δ ( k ) , a chromatic invariant that counts vertex colorings of a graph in which every designated triangular face uses exactly two colors ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...