AI and machine learning for predictive modeling and optimization

Advancing deep brain stimulation with closed-loop neural decoding systems

deep brain stimulation neural decoding closed-loop systems Parkinson's disease neurotechnology

Predicting magma chamber eruptions through real-time monitoring of acoustic emissions and machine learning

volcanology seismic signals eruption forecasting AI monitoring magma dynamics

Employing neglected mathematical tools for optimizing deep brain stimulation parameters

deep brain stimulation mathematical optimization neuromodulation computational neuroscience therapeutic algorithms

Optimizing sparse mixture-of-experts models for efficient large language model training

mixture-of-experts sparse models LLM efficiency distributed training neural scaling

Aligning with 2035 SDG targets through AI-optimized desalination plant scheduling

sustainable water management renewable energy integration desalination optimization SDG6 compliance predictive scheduling

Optimizing spacecraft heat shields via generative design optimization and biomimetic radiation shielding

generative design biomimicry thermal protection aerospace engineering computational optimization

For exascale system integration: Few-shot hypernetworks managing heterogeneous computing architectures

exascale computing hypernetworks few-shot learning HPC optimization heterogeneous systems

Circadian rhythm minima effects on error rates in deep space mission critical systems

circadian rhythms human factors spaceflight physiology error analysis mission-critical systems

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

nuclear waste material degradation accelerated aging long-term storage corrosion modeling

Optimizing trajectory calculations for interstellar mission planning with gravitational slingshots

interstellar travel trajectory optimization gravitational slingshot mission planning astrodynamics

Leveraging digital twin technology for predictive maintenance in additive manufacturing

digital twin additive manufacturing predictive maintenance industrial 3D printing real-time monitoring

Optimizing catalyst discovery algorithms aligned with El Niño oscillations for carbon capture

catalyst discovery El Niño carbon capture machine learning climate patterns