MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...

AI-driven optimization of a solar-hydrogen system offers hospitals a sustainable energy solution, enhancing reliability and ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

Researchers have introduced GAME, an AI technique that leverages multiple genetic algorithms to reconstruct cosmic functions with greater precision, tackling persistent challenges in detecting subtle ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

Researchers use a quantum inspired algorithm to simulate complex materials in seconds, opening faster paths to quantum computing and low heat electronics. The layers can be arranged in increasingly ...

Using an improved NSGA-II (non-dominated sorting genetic algorithm II) algorithm, a multi-objective optimisation approach is developed here for the pickup device of a square baler, in an attempt to ...

GENetic EVolutionary Organoid: The Self-Evolving Neural Architecture. Inspiration: Biological genes — evolution, adaptation, and infinite creative potential. Goal: Surpass every major AGI benchmark ...

Abstract: In order to improve the decision-making efficiency and accuracy in intelligent manufacturing, a dual-objective optimization method integrating genetic algorithm and Monte Carlo simulation is ...

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 ...

Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...