Over the past couple of months, several researchers have begun making the same provocative claim: They used generative-AI tools to solve a previously unanswered math problem. The most extreme promises ...

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 ...

Abstract: In modern automotive zonal electrical/electronic architectures, Time-Sensitive Networking (TSN) serves as the communication backbone, while Controller Area Network (CAN) operates as regional ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has become crucial for enhancing mission success rates.

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

Dr. Fryer is a professor of economics at Harvard University, founder of Equal Opportunity Ventures and a senior fellow at the Manhattan Institute. See more of our coverage in your search ...

Sydney — Humans beat generative AI models made by Google and OpenAI at a top international mathematics competition, but the programs reached gold-level scores for the first time, and the rate at which ...

In a victory for human intellect, developer Przemysław Dębiak has defeated an AI in a gruelling coding battle. The event, the AtCoder World Tour Finals 2025 Heuristic Contest held in Tokyo, pitted ...

A new report by Capgemini warns that quantum computing may break the widely used public-key cryptographic systems within the next decade — threatening everything from online banking to blockchain ...