A new benchmark pitting AI against previously unseen maths problems shows systems still fall short of top human expertise.

Organizations today struggle to handle vast amounts of information stored across multiple databases, registers and systems.

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Crypto exchanges provide developers with APIs to connect with their trading engine and data feeds. The APIs cover a dozen ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

Thirsty data centers are cropping up all over Texas, as the state contends with a water shortage so severe that entire communities are running dry. But data center developers in parched areas of the ...

According to a new Gallup poll, 71% of Americans oppose any construction of AI data centers in their area, with 48% strongly opposed. Meanwhile, just 7% strongly supported such construction. That's an ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...

After 80 years of fruitless struggle by human mathematicians, a major geometry conjecture has at last been solved—via a straightforward query to a chatbot. “No previous AI-generated proof has come ...

For nearly 80 years, mathematicians believed they understood the limits of a famous geometry puzzle first posed by legendary Hungarian mathematician Paul Erdős. Now, an AI model developed by OpenAI ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Abstract: Diffusion models have become powerful tools for solving inverse problems. However, existing methods are often constrained by a trade-off between reconstruction quality and computational ...