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 121-132 of 349 articles

Optimizing neural network training efficiency through self-supervised curriculum learning

Employing neglected mathematical tools like tropical geometry in biological network modeling

Via generative design optimization of bio-inspired aerospace structures

Through smart metrology integration in atomic-scale semiconductor fabrication

Enhancing underwater navigation by bridging sonar technology with bat echolocation principles

Optimizing sparse mixture-of-experts models for real-time edge computing applications

Planning 22nd century legacy systems for interstellar data transmission

Anticipating 2035 energy grid demands with AI-driven load forecasting

Optimizing enzyme turnover numbers via machine learning-driven directed evolution

Employing soft robot control policies for underwater exploration in extreme environments

Updating Cold War research on psychological resilience using modern neuroimaging techniques

Anticipating 2080 population peaks through dynamic demographic modeling