GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

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.

Find out why the fundamental building blocks of engineering in 2026 are mathematics and physics. Examine their fundamental ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

NVIDIA CEO Jensen Huang did not spend his latest CES appearance talking about AI chips, partnerships, or market dominance.

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 ...

Hoang Pham has spent his career trying to ensure that some of the world’s most critical systems don’t fail, including ...

By Winifred KOTINFor many of us, mathematics was not a subject to love—it was a subject to pass so we could progress to the next academic stage. Through years of conversations with executives, ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

Crayola spoke to Idaho Today about this star-powered lineup to foster creative thinkers.

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...