3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NE2025
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…
cs.LG2021★ 3 cited
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-…