Constantly "re-rolling the dice", combining and selecting: "Evolutionary algorithms" mimic natural evolution in silico and lead to innovative solutions for complex problems. Constantly “re-rolling the ...

A research team from Ruhr-Universität Bochum (RUB) has developed a new artificial intelligence (AI) algorithm that significantly enhances the analysis capabilities of biological data by incorporating ...

Evolutionary algorithms (EAs) have long provided a flexible framework for solving challenging optimisation problems by mimicking natural evolutionary processes. When combined with multitask ...

The Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion" (M2N2), which enables developers to enhance AI model capabilities without ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The promise of evolutionary algorithms has been around for several years, ...

Zamudio explains, "The evolutionary algorithm is pretty straightforward. We start with a population of inputs that come from the specifications of a program. And then we do two things: first, mutate ...

Evolution is a very slow process, due largely to the fact that nature doesn't "know" in advance which features of an animal will be beneficial. A new AI-based algorithm does know, however, allowing it ...

Just as bird watchers may use binoculars to add to their species lists, scientists interested in bird evolution may use computational tools to clarify avian lineages. Indeed, such tools have enabled ...

Over the past fifteen years, the implementation of the minimum degree algorithm has received much study, and many important enhancements have been made to it. This paper describes these various ...