Evolutionary algorithms represent a class of optimisation techniques inspired by the principles of biological evolution. These methods iteratively modify candidate solutions using operations analogous ...

As embodied AI moves from demos to deployment, my personal view is that the future will follow the evolutionary path. It better matches how technologies scale, how businesses work, and how our ...

Evolution is a trip. On the one hand, it’s a seemingly simple mechanism—those best fitted to their environment have more babies, while less fit individuals don’t reproduce as much, and their genes ...

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

Roboticists often copy nature, crafting humanoid robots for household chores, worm-style machines for crawling through tunnels and four-legged contraptions that look like cheetahs for running and ...

Evolutionary algorithms are an interesting topic of study. Rather then relying on human ingenuity and investigation to create new designs, instead, an algorithm is given a target to achieve, and ...

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 ...

(Nanowerk Spotlight) Of course, most robots can change directions, speeds – some can even change their colors. But what about changing their shapes? Researchers are beginning to create robots that can ...

Scientists have created a computer algorithm that can be used to witness virtual creatures evolving their squishy, muscle-like features in order to teach themselves to walk. A research team led by ...