Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

Explore the urgent need to transform India's engineering education to meet evolving demands in the AI-driven job market.

If launching it was crazy in 1999, then what's trying to use it today? FOSDEM 2026 Michal Pleban knows his old kit inside out ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Nearly every music streaming platform increasingly relies on artificial intelligence-driven algorithms. School of Media Arts and Studies Director Josh Antonuccio discusses AI's role in the age of ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, ...

Abstract: In the realm of computer science, sorting algorithms play a pivotal role in optimising data organisation and retrieval processes across various applications. This paper presents a ...

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: Hank Green Huge thanks go to the following Patreon supporters for helping us ...