Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning for predictive modeling and optimization

AI and machine learning for predictive modeling and optimization

Showing 49-60 of 349 articles

Optimizing airborne wind energy systems for offshore renewable power generation

Via quantum annealing methods for solving large-scale logistics optimization problems

Predicting global population stabilization through demographic transition models by 2080

Mitigating satellite communication disruptions during prolonged solar proton events

Optimizing neutrino detection through doped water Cherenkov detectors

Anticipating 2035 energy grid demands with AI-driven predictive modeling

Synthesizing future-historical approaches to predict next-generation quantum materials

Optimizing interstellar mission planning via gravitational slingshot maneuvers around binary star systems

Marrying ethology with swarm robotics to optimize collective decision-making in autonomous drones

Anticipating 2080 population peaks via precision demographic AI forecasting models

Enhancing deep brain stimulation precision with real-time neural activity feedback and adaptive algorithms

Optimizing wind turbine blade designs via generative design optimization for increased energy efficiency