Deep learning for electron microscopy

Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...

Evolution is at work in computers as well as life sciences

Artificial intelligence research has a lot to learn from nature. My work links biology with computation every day, but recently the rest of the world was reminded of the connection: The 2018 Nobel Prize in Chemistry went ...

A genetic algorithm predicts the vertical growth of cities

The increase of skyscrapers in a city resembles the development of some living systems. Spanish researchers have created an evolutionary genetic algorithm that, on the basis of the historical and economic data of an urban ...

Mapping the edge of reality

Australian and German researchers have collaborated to develop a genetic algorithm to confirm the rejection of classical notions of causality.

Genetic algorithms can improve quantum simulations

(Phys.org)—Inspired by natural selection and the concept of "survival of the fittest," genetic algorithms are flexible optimization techniques that can find the best solution to a problem by repeatedly selecting for and ...

page 3 from 5