The only snag was that “Shor’s algorithm”, as it is now known, required something that at the time only existed on university ...

A mathematician announced that he used one of Anthropic's A.I. models to find a counterexample to a problem called the ...

Fields Medal 2026 winners were announced July 23 at ICM Philadelphia: Hong Wang, Yu Deng, John Pardon, and Jacob Tsimerman ...

Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...

IIT Hyderabad recently hosted the 4th International Conference on Recent Advances in Applied Mathematics (RAAM 2026), featuring global experts discussing AI, data science, and mathematical modelling.

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental predictability limits that cannot be overcome by infinite training data. By ...

Researchers at New York University’s Courant Institute conducted a series of experiments with different silly sprinkler designs to find the answer to a longstanding problem in fluid dynamics, ...

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 ...

Researchers have developed a mathematical method that enables more precise calculations of the most economical travel routes between the orbits of celestial bodies. To demonstrate this method, they ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst for 20+ years. He is a Chartered Market Technician ...