55 citations · 102 across the 17 of their papers we have counts for
5 papers · 1 filter
SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
Rachmad Vidya Wicaksana Putra, Aadithyan Rajesh Nair, Muhammad Shafique
Speech disorders can significantly affect the patients capability to communicate, learn, and socialize. However, existing speech therapy solutions (e.g., therapist or tools) are st…
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique
The rising demand for energy-efficient edge AI systems (e.g., mobile agents/robots) has increased the interest in neuromorphic computing, since it offers ultra-low power/energy AI…
Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique
Training resource-constrained autonomous agents on multiple tasks simultaneously is crucial for adapting to diverse real-world environments. Recent works employ reinforcement learn…
QSViT: A Methodology for Quantizing Spiking Vision Transformers
Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique
Vision Transformer (ViT)-based models have shown state-of-the-art performance (e.g., accuracy) in vision-based AI tasks. However, realizing their capability in resource-constrained…
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
Neuromorphic Continual Learning (NCL) paradigm leverages Spiking Neural Networks (SNNs) to enable continual learning (CL) capabilities for AI systems to adapt to dynamically changi…