Called multiplicative weight update algorithm (MWUA), it works by maximizing the trade-off between going all-in on a successful genetic trait and hedging its bets by minimizing its commitment to any ...

In this scenario, it becomes difficult to explain the role of sex when it comes to evolution, and to understand how natural selection leads to desirable genetic variations that persist over time.

In AI Terminology 101, we're exploring Genetic Algorithms - a fascinating intersection of biology and computer science that's transforming AI's problem-solving capabilities.

By analyzing thousands of genetic risk variants, a new algorithm may be able to predict your risk of developing chronic kidney disease decades before onset.

The analysis shows that a stationary monetary equilibrium of the Kareken-Wallace model is not stable under the genetic algorithm dynamics. The fluctuations in the genetic algorithm exchange rate are ...

An AI algorithm based on the genomic database was then used to analyse the DNA of 454,000 human participants in the UK Biobank project, with the results showing “greatly improved genetic risk ...

A new study suggests that mutations in regions of the genome that help control gene activity may influence the development of autism.

In this frame we have implemented Monmonier's (1973) maximum difference algorithm in a new software package to identify genetic barriers. To provide a more realistic representation of the barriers in ...