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

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

For a long time, evolutionary biologists have thought that the genetic mutations that drive the evolution of genes and proteins are largely neutral: they're neither good nor bad, but just ordinary ...

ANN ARBOR—For a long time, evolutionary biologists have thought that the genetic mutations that drive the evolution of genes and proteins are largely neutral: they're neither good nor bad, but just ...

For more than half a century, many biologists have leaned on the neutral theory of molecular evolution to explain how DNA and proteins change over time. The idea grew from early work in the 1960s, ...