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 313-324 of 349 articles

Reaction prediction transformers for high-throughput discovery of novel inorganic catalysts

Optimizing neural network training via catalyst discovery algorithms for 2024-2026 deployment

Employing retrieval-augmented generation in gravitational wave periods for astrophysical event prediction

Optimizing photomask designs via computational lithography for 3nm node manufacturing

Exploring circadian gene oscillations in shift workers with genetic predispositions

Bridging quantum annealing methods with adaptive CNC toolpaths for precision manufacturing

Predicting global resource demands anticipating 2080 population peaks with AI-driven models

Anticipating 2080 population peaks to optimize urban infrastructure and resource allocation

Predictive maintenance AI for geothermal fracking equipment using real-time sensor networks

Optimizing urban infrastructure with 100-year maintenance cycles for climate resilience

Using blockchain for carbon credit verification via self-optimizing reactors in industry

Connecting dark matter research with fluid dynamics in galactic simulations