Among the various stochastic optimization methods, population-based algorithms inspired by nature are widely acclaimed and preferred. These approaches replicate problem-solving strategies employed by ...

Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

Google DeepMind’s AlphaProof and AlphaGeometry 2 are milestones for AI reasoning. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox ...

The batch scheduling problem is a type of scheduling problem with a broad engineering background, particularly in manufacturing systems. This problem includes two subtypes: the serial batch scheduling ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...