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 97-108 of 349 articles

In single-molecule systems for real-time viral mutation tracking

Optimizing sparse mixture-of-experts models for energy-efficient AI training

Through AI-driven predictive maintenance for offshore wind turbine reliability

Via smart metrology integration in semiconductor nanofabrication for yield optimization

Optimizing AI-optimized renewable grids for 2060 fusion power integration in urban megacities

Synthesizing future-historical approaches for multi-generational studies of interstellar colonization

Optimizing protein folding intermediates through solvent selection engines and machine learning

Revolutionizing energy storage by employing neglected mathematical tools in battery design

For millisecond pulsar intervals as ultra-precise galactic navigation beacons

Employing neglected mathematical tools for predicting interstellar dust collision risks in mission planning

Optimizing 2040 urban planning with AI-driven traffic flow simulations

Via predictive maintenance AI to prevent failures in fusion reactor components