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.

Researchers have developed a new AI technique, GAME, that dramatically improves accuracy in tracking how the universe changes over time. By combining multiple genetic algorithms and weighting their ...

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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 ...

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, ...

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 ...

Modern humans descended from not one, but at least two ancestral populations that drifted apart and later reconnected, long before modern humans spread across the globe. Using advanced analysis based ...