AI’s solution to the Navier-Stokes problem, and the details of how it happened, preview a chaotic future for math—and the ...

I like mathematics.I just want to solve problems of global optimization.I have calculated algorithms for elevators and escalators at work. Because of that, or perhaps even before that, I cannot ...

Explore Srikanth Aithas breakthrough in SoC optimization. His leadership achieved 20% timing reduction, 15% power efficiency, ...

A comprehensive guide to generative engine optimization, covering strategy, structure, metrics, and how AI discovery really ...

In the spirit of my recent “Math 2.0” talk on new ways to use AI assistance to enhance the human understanding of mathematics, rather than substitute for it, I am using this post to ...

Hardly any other moment in the customer journey is as emotionally charged — and at the same time as neglected — as the ...

Smarter supply chains could hold the key to reducing the environmental impact of the AI boom Sustainability leaders across ...

Researchers map 119 studies exploring the intersection of AI and quantum optimization for solving complex problems.

SK Group Chairman Chey Tae-won says problem-solving experience now matters more than a diploma, as chip firms lift ...

The First Proof consortium has repeatedly challenged AI systems to crack 10 tough research math problems. In the latest round ...

A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor ...

Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...