April 15 (UPI) --Scientists have developed a new algorithm that can predict how a protein could evolve to become highly effective or totally unproductive. The machine learning model -- detailed this ...

Cosmologists have spent decades trying to pin down exactly how fast the universe is flying apart and whether that rate is ...

Quantitative biologists have designed a new machine learning technique for predicting evolutionary pathways. It could prove a valuable tool for biologists studying rapidly evolving viruses or cancer.

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...

New AI algorithm boosts universe change detection accuracy by 95% Researchers have developed GAME, an AI method using ensembles of genetic algorithms to reconstruct cosmic changes with remarkable ...

MPN-BP transformation is driven by sequential mutations disrupting genomic stability, with TP53 mutations being strong predictors of progression. TP53 mutations confer a selective growth advantage, ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

Quantitative biologists David McCandlish and Juannan Zhou at Cold Spring Harbor Laboratory have developed an algorithm with predictive power, giving scientists the ability to see how specific genetic ...