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-…