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 ...

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 ...

Effective democracies require modern data policies that direct the country’s ability to govern and hold legitimacy. Data policies offer information justice by providing formal guidelines and rules for ...

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 ...

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 ...