The US Army successfully tests new fire control software, enhancing military precision and efficiency. Discover more about this technological breakthrough.

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...

Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

Just under 300,000 years from the moment Homo sapiens appeared in Africa, the species had encircled Earth, mastering desolate deserts and frozen wastelands and all the temperate climes in between.

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for ...

A just-published article in the journal Nature—“Ancient DNA reveals pervasive directional selection across West Eurasia,” (Akbari et al, 15 April 2026)—describes how the development of agriculture in ...

Abstract: Evolutionary algorithms make countless random decisions during selection, mutation, and crossover operations. These random decisions require a steady stream of random numbers. We analyze the ...

GENetic EVolutionary Organoid: The Self-Evolving Neural Architecture. Inspiration: Biological genes — evolution, adaptation, and infinite creative potential. Goal: Surpass every major AGI benchmark ...

Having reached the 35th anniversary since the discovery of the first disease‐causative gene and mutation for hypertrophic cardiomyopathy (HCM) this year, it is a great time to look back with amazement ...

Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum. An international research team led by biologists from Heidelberg University as ...

Abstract: The evolution of aircraft design has resulted in increasingly intricate aircraft manufacturing processes characterized by increased performance requirements and stringent quality standards.

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...