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 ...

It turns out that 155 years after Charles Darwin first published “On the Origin of Species,” vexing questions remain about key aspects of evolution, such as how sexual recombination and natural ...

Imagine a very complex problem—supply chain optimization, for example—in which a computer generates millions of trial solutions completely at random and then ...

In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors. Understanding the ...

Evolutionary computation comprises a family of metaheuristic algorithms inspired by the principles of natural evolution – reproduction, mutation, recombination, and selection – which are utilised to ...

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, ...

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