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.

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

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 ...

GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...

Indian-origin mathematician Nalini Joshi has become the first mathematician to receive New South Wales’ Scientist of the Year award, highlighting her pioneering work in applied mathematics. From ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Researchers across biology, philosophy, and AI are split on what counts as a mind—and whether today’s systems qualify.