AI and machine learning applications

Using predictive motor coding to enhance brain-machine interface responsiveness in paralysis patients

neural decoding motor prediction neuroprosthetics intention detection closed-loop BMI

Via proprioceptive feedback loops to improve robotic limb control accuracy

robotics proprioception feedback control bionics artificial limbs

Bridging current and next-gen AI through neurosymbolic integration for robust decision-making

neurosymbolic AI hybrid systems decision-making knowledge representation machine learning

Mitigating catastrophic forgetting in neural networks via dynamic memory allocation mechanisms

catastrophic forgetting continual learning neural networks memory consolidation adaptive algorithms

Using explainability through disentanglement in deep neural networks for medical diagnostics

explainable AI disentanglement medical diagnostics neural networks interpretability

Synthesizing ancient Sanskrit grammar rules with modern neural machine translation systems

Sanskrit NLP Paninian grammar neural translation computational linguistics morphology parsing

Bridging current and next-gen AI via proprioceptive feedback loops in robotics

proprioception hybrid AI adaptive robotics feedback loops machine learning

Bridging current and next-gen AI through neuromorphic computing with memristor-based architectures

neuromorphic computing memristors AI transition brain-inspired systems hybrid architectures

Using affordance-based manipulation for adaptive robotic grasping in unstructured environments

robotic grasping affordance theory unstructured environments adaptive control computer vision

Investigating galactic rotation periods through machine learning-enhanced radio telescope data analysis

galactic rotation machine learning radio astronomy data analysis astrophysics

At terahertz oscillation frequencies for non-invasive neural activity monitoring

terahertz imaging neural monitoring non-invasive sensors brain-computer interfaces neurotechnology

Optimizing asteroid mining efficiency through machine learning-driven resource mapping

asteroid mining machine learning resource mapping space exploration mineral extraction