A two-stage hybrid quantum-classical neural network automatically evolved from Sentinel-2 satellite time series matched classical regression baselines and improved pre-harvest crop yield detection ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
A surrogate-assisted artificial neural network coupled with multi-objective genetic algorithms successfully optimizes sheet ...
Luke/mario-neural-network ...
Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...
This project implements the classic Flappy Bird game using NEAT (NeuroEvolution of Augmenting Topologies) to evolve intelligent agents that learn to play the game autonomously. The agents (birds) are ...
Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...
Ideally, I'd like to play around with this kind of stuff. You know, for fun. I read an article (can't find it now) about a professor at the UofWashington who created a system using Predator/Prey and ...
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