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 ...

McGill and Queen's University researchers have built an improved version of a computer that uses light to solve extremely hard problems more quickly ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Richard Stursberg has some ideas. In his new book, “Lament for a Literature,” the former CBC executive and long-time CanCon ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Source: Darren Edwards What if one of the biggest unsolved problems in mathematics is not just about numbers or computers, but about observers like you and me? This isn’t a proposed solution to P vs ...

New Orleans Pelicans fans got what they wanted on Saturday when the team announced the firing of Willie Green. James Borrego has taken over as the head coach, and the hope is that there will be a ...

The original version of this story appeared in Quanta Magazine. Hard problems are usually not a welcome sight. But cryptographers love them. That’s because certain hard math problems underpin the ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...