Specie Evolution
Species evolution research explores how life forms change over time, focusing on understanding the mechanisms driving these changes and their consequences. Current research emphasizes modeling evolutionary processes using diverse approaches, including evolutionary algorithms, diffusion models conditioned on phylogenetic trees, and the application of large language models to analyze evolutionary dynamics in various contexts like social groups and scientific literature. This work is significant for advancing our understanding of biological processes, informing the design of robust artificial systems (e.g., antibodies, robots), and improving the analysis of complex systems across diverse fields.
Papers
Optimization of a Hydrodynamic Computational Reservoir through Evolution
Alessandro Pierro, Kristine Heiney, Shamit Shrivastava, Giulia Marcucci, Stefano Nichele
Prediction of the evolution of the nuclear reactor core parameters using artificial neural network
Krzysztof Palmi, Wojciech Kubinski, Piotr Darnowski