AI and machine learning applications

Enhancing explainability in deep neural networks through disentanglement of latent representations

disentanglement explainable AI latent representations deep learning interpretability

Leveraging dynamic token routing for efficient sparse attention in transformer models

dynamic routing transformers sparse attention efficiency NLP

Via proprioceptive feedback loops in soft robotic exoskeletons for rehabilitation

neurorehabilitation wearable robotics biomechanics human-machine interface

Employing neuromorphic computing architectures for adaptive swarm robotics control

neuromorphic computing swarm robotics adaptive control spiking neural networks decentralized systems

Through catastrophic forgetting mitigation in lifelong learning neural networks

catastrophic forgetting lifelong learning neural networks memory retention incremental training

Phase-change material synapses for neuromorphic drones employing self-supervised curriculum learning

neuromorphic computing phase-change materials drones curriculum learning autonomous navigation

Multimodal fusion architectures for real-time asteroid composition analysis using spectroscopy and LIDAR

multimodal fusion asteroid composition LIDAR spectroscopy space exploration

Probing neural population dynamics during decision-making with ultra-dense microelectrode arrays

neurophysiology decision-making microelectrodes neural ensembles cortex mapping

Mitigating catastrophic forgetting in neural networks through dynamic architecture expansion

catastrophic forgetting neural networks dynamic architecture continual learning AI stability

Optimizing robotic locomotion via multi-modal embodiment in dynamic terrestrial environments

robotics adaptive locomotion embodied AI terrain traversal modular design

Synthesizing Sanskrit linguistics with NLP models to enhance semantic parsing accuracy

Sanskrit NLP semantic parsing computational linguistics AI

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

mixture-of-experts sparse models neural networks AI scalability distributed training