Modern systems biology requires us to move beyond the study of isolated gene interactions. Gene regulatory networks (GRNs) capture the complex mechanisms through which gene regulation occurs and can ...

Abstract: Atom search optimization (ASO) is a newly developed metaheuristic algorithm inspired by molecular basis dynamics. The paramount challenge in ASO is that it is prone to stagnation in local ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

A cellular automaton is a discrete model of computation studied in automata theory. It consists of a regular grid of cells, each in one of a finite number of states; a new generation is created ...

Abstract: Wildfires could pose a significant danger to electrical transmission lines and cause considerable losses to the power grids and residents nearby. Previous studies of preventing wildfire ...

Neural Cellular Automata (NCA) use neural networks to drive this process. Each pixel acts like a living cell. Every cell contains the same small neural network. How it works: - Each cell looks at its ...

The ability of a population to adapt and evolve is heavily influenced by the effects of random mutations on individuals. However, these effects can vary depending on the existing fitness level of the ...

Train Neural Cellular Automata (NCA) guided by CLIP semantic similarity, with four multi-objective optimization strategies to explore the Pareto front between competing text prompts.

Neural Cellular Automata (NCA) changes this. Instead of fixed rules, a neural network learns the rules from data. The network predicts the next state of a cell by looking at its neighbors. This ...

An illustration of a magnifying glass. An illustration of a magnifying glass.