Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

The AI-assisted future of programming, where people can make their own custom software without learning to code, is rapidly coming into view.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...

Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Abstract: The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena. Since quantum ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...