Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

We may have gotten the evolutionary origins of the echidna backward, as new research suggests its ancestors probably lived in the water, not on land. When you purchase through links on our site, we ...

1 State Key Laboratory of Intelligent Mining Equipment Technology, Taiyuan, China 2 School of Computer Science and Technology, Anhui University, Hefei, China In the manufacturing process of electric ...

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

A new study by researchers at the Max Planck Institute for Evolutionary Biology (MPI-EB) sheds fresh light on one of the most debated concepts in biology: evolvability. The work provides the first ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.