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 181-192 of 349 articles

Anticipating 2035 energy grid demands with decentralized renewable microgrid networks

Modeling axonal propagation delays to improve brain-computer interface synchronization

Optimizing post-quantum cryptography transition for legacy financial systems

Computational lithography optimizations for 2nm semiconductor node patterning

Dark matter halos as turbulent fluid systems in dwarf galaxies

Optimizing renewable energy grids with AI-driven load balancing for megacity demand spikes

Optimizing coastal renewable energy through tidal turbine arrays with AI-driven placement

Investigating continental drift velocities using high-precision satellite geodesy and paleomagnetic data

Through morphological computation in soft robotics for adaptive grasping mechanisms

Employing spectral analysis AI to decode plant stress signals in arid environments

Connecting dark matter research with fluid dynamics in cosmic filament simulations

Employing neuromorphic computing architectures for real-time adaptive traffic control in megacities