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 13-24 of 349 articles

Self-optimizing nuclear reactors for load-following electricity generation with molten salt systems

Synchronized with solar cycles: Predictive maintenance algorithms for orbital infrastructure

Mapping axonal propagation delays to improve brain-computer interface performance

Predictive motor coding in primate cortex during complex tool-use tasks

Through Cambrian explosion analogs to engineer adaptive soft robotics with evolutionary algorithms

Optimizing artificial photosynthesis systems with catalyst discovery algorithms for renewable hydrogen production

During solar flare events, how can we protect satellite communication systems from disruption?

Employing soft robot control policies for deep-sea exploration in extreme pressure environments

Achieving 50-year durability requirements for solar panels through sim-to-real transfer methods

Detecting precursor signals of gamma-ray burst afterglows across interstellar medium conditions

Employing AI-optimized renewable grids for real-time energy distribution in smart cities

Optimizing glacier stabilization using carbon-based nanomaterials and dynamic token routing