Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
OpenAI claims its new reasoning model has produced an original mathematical proof disproving a famous unsolved conjecture in geometry, which was first posed by Paul Erdős in 1946. If this sounds ...
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 ...
Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. He’s 23 years old and has no advanced mathematics training. What he does have is a ChatGPT ...
A close-up of Keanu Reeves as Neo looking to the distance with sunglasses on in The Matrix. Image via Warner Bros. 1999’s The Matrix was a landmark in cinema, establishing an exciting new filmmaking ...
Shrishty is a decade-old journalist covering a variety of beats between politics to pop culture, but movies are her first love, which led her to study Film and TV Development at UCLAx. She lives and ...
Banks and fintechs globally are under increasing pressure from regulators to improve the effectiveness of their AML programs, not simply maintain compliance checklists. FinCEN’s modernization ...
Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...
Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...