Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

In this issue of PNAS, Gao et al. (1) probe the limits of Bayesian phylodynamic inference, a statistical framework that has revolutionized the study of pathogen evolution and epidemic spread. By ...

An updated evolutionary model shows that living systems evolve in a split-and-hit-the-gas dynamic, where new lineages appear in sudden bursts rather than during a long marathon of gradual changes.

The research indicates that the limitations on the size of proteins has been a crucial trigger in the development of life All branches of science have fundamental questions that researchers are keen ...

What is intelligence? We can all agree that humans are intelligent and many of us would likely extend that definition to the most mentally adept creatures of the animal kingdom—from dolphins to ...

Underground fungal networks are “living algorithms” that quietly help regulate Earth’s climate. Now scientists know what makes them so efficient. Underground fungal networks are “living algorithms” ...

A new computational tool improves the analysis of genetic data, making it easier and faster to study the evolutionary relationships between species. A new computational tool improves the analysis of ...

The following essay is reprinted with permission from The Conversation, an online publication covering the latest research. Imagine a photograph of your great-grandparents, grandparents and parents ...

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

Abstract: The hybrid seru manufacturing mode widely exists in many real-world production enterprises, where workers are usually partially cross-trained due to high-training costs and employee turnover ...