In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

Algorithmic trading is the process of executing financial transactions through computer programs that follow a predefined, automated set of instructions. Driven by advanced mathematics and structural ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

More than 1,200 years ago, in the intellectual heart of Abbasid Baghdad, a Persian scholar quietly reshaped how humans understand numbers, problems and logic. His name was Muhammad ibn Musa ...

Abstract: Deep learning has revolutionized artificial intelligence, but with very sensitive systems that exploit minute patterns inside data, able to solve impossible problems with fine nuance beyond ...

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

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 ...

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.