[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something much ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room for improvement. A new ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks.

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine ...

which machine learning models then evaluate for printing quality. The genetic algorithm checks these predictions for optimality, repeating the process until the best parameters are found.

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Researchers have represented an intelligent inversion framework for soil parameters in deep excavations is established by ...

Development of ShotgunCSP: a crystal structure prediction algorithm combining machine learning and first-principles calculations.Achieved world-leading performance in crystal structure prediction ...