A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

As there was in 1914, there are at least two distinct options. The first is the Force Design 2030 approach, which is analogous to the French response to the Western Front problem.

Explore how Gemini Deep Think redefines AI problem-solving, tackling complex challenges in mathematics, algorithms, and design optimization.

And, as quantum systems become increasingly complex, Schrödinger's equation gets much, much harder to solve using classical hardware—the implication being that modeling the behavior of 5,000 of ...

Research shows that companies devote too little effort to examining problems before trying to solve them. By jumping immediately into problem-solving, teams limit their ability to design ...

The new approach works by adapting an algorithm invented by cryptographers 25 years ago for attacking a different problem. There’s just one restriction: You need to tailor the algorithm to the size of ...

He wanted to find a method to solve every conceivable scientific problem. This was not just wishful thinking—the teenager had a groundbreaking idea that would establish a completely new field of ...

The team used their new algorithm to solve families of problems related to an overarching decades-old math problem called the Andrews–Curtis conjecture.

How machines that can solve complex math problems might usher in more powerful AI Google DeepMind’s AlphaProof and AlphaGeometry 2 are milestones for AI reasoning.

In the age of AI, people might wonder if there’s anything computers can’t do. The answer is yes. In fact, there are numerous problems that are beyond the reach of even the most powerful computers.