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 133-144 of 349 articles

For millisecond pulsar intervals in precision deep-space navigation systems

Predicting supernova events through advanced spectral analysis AI algorithms

Predictive motor coding across synaptic time delays in primate locomotion

Predicting megayear material degradation in nuclear waste storage via accelerated aging simulations

Optimizing protein folding predictions through quantum annealing methods on next-gen processors

Via quantum annealing methods for optimizing large-scale logistics networks

For 2060 fusion power integration: overcoming plasma instability with AI-driven magnetic confinement

Via quantum annealing methods for solving large-scale logistics optimization

Through few-shot hypernetworks to rapidly adapt quantum error correction codes for noisy hardware

Optimizing digital twin manufacturing for real-time predictive maintenance in aerospace components

Developing energy-efficient attention mechanisms for scalable transformer models in edge computing

Optimizing synaptic vesicle recycling pathways using machine learning algorithms