It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center ...

depends on the kind of problem you’re solving, the computing ... Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad ...

AlphaEvolve may optimize your code in ways you hadn’t thought possible. Or not. Not is possible, too Google's AI shop ...

DeepMind, Google's artificial intelligence (AI) division, has officially launched AlphaEvolve, an AI that can generate ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip ...

The researchers used data from 17 actual cases to test their model ... part algorithm that is a kind of stochastic dynamic program, which they define as “the standard approach to solving ...

Chinese AI lab DeepSeek has quietly updated Prover, its AI model that’s designed to solve math-related proofs and theorems. According to South China Morning Post, DeepSeek uploaded the latest ...

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.