Survey of machine learning accelerators

A Reuther, P Michaleas, M Jones… - 2020 IEEE high …, 2020 - ieeexplore.ieee.org
New machine learning accelerators are being announced and released each month for a
variety of applications from speech recognition, video object detection, assisted driving, and …

AI accelerator survey and trends

A Reuther, P Michaleas, M Jones… - 2021 IEEE High …, 2021 - ieeexplore.ieee.org
Over the past several years, new machine learning accelerators were being announced and
released every month for a variety of applications from speech recognition, video object …

AI and ML accelerator survey and trends

A Reuther, P Michaleas, M Jones… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
This paper updates the survey of AI accelerators and processors from past three years. This
paper collects and summarizes the current commercial accelerators that have been publicly …

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

C Prakash, LR Gupta, A Mehta, H Vasudev… - Materials …, 2023 - pubs.rsc.org
The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …

SOPHGO BM1684X: A Commercial High Performance Terminal AI Processor with Large Model Support

P Gao, Y Liu, J Wang, W Cai, G Shen… - 2024 57th IEEE/ACM …, 2024 - ieeexplore.ieee.org
This paper presents BM1684X, a cutting-edge AI processor from SOPHGO designed to meet
the demanding requirements of broad AI applications. Firstly, we employ SIMD architecture …

Towards strong AI with analog neural chips

AP James - 2020 IEEE International Symposium on Circuits …, 2020 - ieeexplore.ieee.org
Applied AI chips with neural networks fail to capture and scale different forms of human
intelligence. In this study, the definition of a strong AI system in hardware and architecture for …