AI and machine learning for predictive modeling and optimization

Predicting equipment failure via few-shot hypernetworks in predictive maintenance AI

hypernetworks predictive maintenance few-shot learning industrial IoT anomaly detection

Optimizing nanoradian angular precision in next-generation space telescope mirror alignment

active optics metrology wavefront sensing adaptive control gravitational wave detectors

Optimizing deep brain stimulation parameters for treatment-resistant depression using real-time fMRI feedback

neurostimulation treatment-resistant depression fMRI closed-loop systems neuromodulation

Integrating neutrino detector arrays with proton therapy for real-time beam verification in cancer treatment

particle therapy neutrino detection hadron therapy beam verification medical physics

Using predictive motor coding to enhance brain-machine interface responsiveness

brain-machine interface predictive coding neural prosthetics motor control neurotechnology

Synthesizing algebraic geometry with neural networks for advanced material design

algebraic geometry neural networks material design mathematical synthesis

Enhancing carbon capture efficiency via perovskite-based membranes with AI-driven optimization

perovskite membranes carbon capture AI optimization gas separation climate tech

Predicting supernova light curves with spectral analysis AI for early astronomical alerts

supernova prediction spectral AI transient astronomy light curve modeling automated telescopes

Employing neglected mathematical tools for optimizing exciton diffusion lengths in organic photovoltaics

exciton diffusion mathematical optimization organic photovoltaics charge transport computational modeling

Exploiting forbidden physics concepts for noise suppression in quantum sensor arrays

quantum sensors forbidden transitions noise suppression metrology quantum coherence

Achieving nanoradian angular precision in next-generation space telescopes

nanoradian space telescopes angular precision astronomy calibration

Using art-inspired scientific approaches to design biohybrid neural networks

biohybrid systems neural networks generative art synthetic biology neuroengineering