Mobilint’s ARIES: Chip for Edge AI

Author:

Oh Youngrock1,Jeon Haeryong1,Kim Jisung1,Han Seunghak1,Chung Yunjeong1,Asanbekov Kanybek1,Song Gyuyoun1,Han Kibum1,Kim Junyeob1,Lee Junseong1,Lee Jeongseung1,Park Jongjun1,Shin Dongjoo1

Affiliation:

1. Mobilint, Inc.,South Korea

Publisher

IEEE

Reference16 articles.

1. LSQ+: Improving low-bit quantization through learnable offsets and better initialization

2. Learned step size quantization;esser,2019

3. Optimal brain compression: A framework for accurate post-training quantization and pruning;frantar;Advances in neural information processing systems,2022

4. Accurate post training quantization with small calibration sets;hubara;International Conference on Machine Learning,2021

5. Estimating or propagating gradients through stochastic neurons for conditional computation;bengio,2013

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