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 157-168 of 349 articles

Predictive motor coding for next-generation brain-machine interfaces

Predicting geomagnetic disruptions via machine learning analysis of magnetic pole reversal patterns

Accelerating material discovery with rapid prototyping cycles and AI-driven synthesis

Synthesizing future-historical approaches for interstellar mission planning with AI

Optimizing solvent selection engines through cosmological constant evolution models

Optimizing gravitational wave periods for detecting intermediate-mass black hole mergers

With adaptive CNC toolpaths for precision machining of metamaterials

Employing AI-optimized renewable grids for decentralized energy distribution in urban environments

Employing AI-optimized renewable grids during grand solar minimum for energy resilience

For digital twin manufacturing with human-in-the-loop adaptation in Industry 4.0 systems

For digital twin manufacturing of personalized medical implants with real-time feedback

Across continental drift velocities for predictive modeling of deep-sea cable routes