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.

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Jenny Quinn, executive director of the Seattle Universal Math Museum, shows off a solved Fibonacci sequence puzzle. (GeekWire Photo / Maddie Stoll) Jenny Quinn travels with math in her backpack. She ...

Google DeepMind announced on 21 July that its software had cracked a set of maths problems at the level of the world’s top secondary-school students, achieving a gold-medal score on questions from the ...