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 265-276 of 349 articles

Anticipating 2035 energy grid demands using decentralized renewable microgrids

Optimizing quantum error correction for next-generation topological qubits

Synchronizing satellite constellations with solar cycles via adaptive orbital decay algorithms

Modeling Cambrian explosion analogs to accelerate evolutionary robotics in unstructured environments

Modeling galactic rotation periods for interstellar mission planning with relativistic effects

Using predictive motor coding to improve military-to-civilian prosthetic limb performance

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

Optimizing enzyme turnover numbers through directed evolution and computational modeling

Upgrading 1990s wastewater treatment technologies using currently available nanomaterials and AI optimization

Digital twin implementation for defect prediction in gate-all-around nanosheet transistor fabrication

Optimizing wind turbine performance through predictive maintenance AI and vibration analysis

Optimizing urban microgrid resilience via generative design algorithms for extreme weather events