Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Hiding behind numerous disguises, HIV has been evading researchers for years, leaving the search for a vaccine as elusive as ...

Genetic algorithms are optimisation heuristics based on the principles of natural selection. They offer a way to find good solutions to complex problems. In the context of machine learning, they can ...

The model also developed a new algorithm for matrix multiplication—the operation that underlies much of machine ... the reinforcement learning tradition in favor of the genetic algorithm.

Olabode gained international recognition through his groundbreaking research published in PNAS, where he brought machine learning techniques and ... Olabode’s algorithm compares genetic sequences from ...

Abstract: This paper presents an efficient combination of genetic algorithms and machine-learning techniques to optimize scattering properties of 3D dielectric (PLA) slabs with surface deformations.

"By leveraging machine learning, we can provide a tool that helps ... Data-driven consideration of genetic disorders for global genomic newborn screening programs, Genetics in Medicine (2025).

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip ...

As the service continues to acquire data points, it’s using that information to train the algorithms and machines ... use the API-based product and machine learning to provide its users with ...