3 citations · 3 across the 3 of their papers we have counts for
3 papers
Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
Vedant Karia, Abdullah Zyarah, Dhireesha Kudithipudi
Continual learning, the ability to acquire and transfer knowledge through a models lifetime, is critical for artificial agents that interact in real-world environments. Biological…
Probabilistic Metaplasticity for Continual Learning with Memristors
Fatima Tuz Zohora, Vedant Karia, Nicholas Soures +1
Edge devices operating in dynamic environments critically need the ability to continually learn without catastrophic forgetting. The strict resource constraints in these devices po…
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
Hamed F. Langroudi, Vedant Karia, Tej Pandit +1
In this research, we propose a new low-precision framework, TENT, to leverage the benefits of a tapered fixed-point numerical format in TinyML models. We introduce a tapered fixed-…