AI workout plans promise personalized fitness coaching but may lack safety oversight and human expertise. Hidden risks you ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...

In this paper, we examine the advantages of combining features from both analyses. To do this, we use two different genetic programming algorithms (GP). The first algorithm allows trees to contain ...

Abstract: Genetic Programming (GP) is one type of evolutionary algorithm used in optimizing decision-making and control processes in one/multi agent systems. In this research, this algorithm is used ...

Introduction EVOLUTIONARY PROGRAMMING, originally conceived by Lawrence J. Fogel in 1960, is a stochastic OPTIMIZATION strategy similar to GENETIC ALGORITHMs ... the MUTATION operation does not demand ...

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Despite having identical genetic instructions, female honey bee larvae can develop into either long-lived reproductive queens ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put researchers closer than ever before to efficiently decoding DNA with 100% ...