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 ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

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 ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

When one thinks of mathematics, the thought that comes to most peoples’ heads is solving an equation and getting a correct answer. That is the case with many mathematical theorems, including one of ...