Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

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 ...

Mutation: it’s the raw material for evolution. That makes knowing the rate at which it occurs crucial to the study of evolutionary biology. Mutation rate figures into all kinds of calculations. For ...

Understanding the mutation and evolution of viruses (such as SARS-CoV-2) is crucial for effective public health management and response. Traditional epidemiological models often assume that viral ...

A study published in the Proceedings of the National Academy of Sciences by scientists from Israel and Ghana shows that an evolutionarily significant mutation in the human APOL1 gene arises not ...

“Viral escape is a big problem,” said Bonnie Berger, PhD, the Simons Professor of Mathematics and head of the Computation and Biology group at the Massachusetts Institute of Technology (MIT) Computer ...

In the children’s game telephone, a whispered phrase like “I ate a pear” can quickly become “I hate bears” as it moves down a line of players. As genes are passed down from parents to offspring, they ...

In a recent study published in Nature Genetics, researchers performed an allelic-level single-cellular multi-omics evaluation of hematopoietic stem/progenitor cells (HSPCs) obtained from individuals ...