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 ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Georgia Tech continues to excel in the world’s premier student programming competition. Computer science Ph.D. student Xieting  (Creatix) Chu placed first in the Third International Collegiate ...

TBC, as the startup likes to refer to itself, said today it has raised $25 million in seed funding from Primary Ventures to ...

In 1843, Ada Lovelace published notes on Charles Babbage's Analytical Engine, outlining how a machine could follow instructions to perform complex operations and manipulate symbols beyond arithmetic.

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...

We are witnessing the slow, agonizing death of the “Employee Factory” model. For decades, the tacit agreement between ...

Seoul National University College of Engineering announced that a research team led by Prof. Sunkyu Yu and Prof. Namkyoo Park ...

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...