A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization ...

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...

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, ...

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

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 ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...