Nature

A multi-objective hybrid algorithm for optimizing neural network architectures in wildlife conservation: a theoretical framework with practical validation

The urgent need for scalable artificial intelligence solutions in wildlife conservation has intensified as biodiversity loss accelerates globally, with current extinction rates estimated at 100-1,000 ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...
Tech Xplore on MSN

Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...
Nature

Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks

Fertilizers made from organic materials, such as plant and animal waste, are referred to as organic fertilizers. Organic fertilizers, which are particularly well-suited for facility horticulture and ...
Hackaday

Genetic Algorithm Runs On Atari 800 XL

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...