ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation-Reference-Cited by-同舟云学术

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ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation

Published:2024-06 Issue:6 Volume:32 Page:991-1003
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Darabi Nastaran¹^ORCID,Hashem Maeesha Binte¹,Pan Hongyi¹^ORCID,Cetin Ahmet¹^ORCID,Gomes Wilfred²,Trivedi Amit Ranjan¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA

2. Intel, Santa Clara, CA, USA

Funder

NSF CAREER Award

Department of Energy (DOE) Office of Science Award

NSF POSE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/92/10536717/10473702-aam.pdf

Reference54 articles.

1. Deep Learning With Edge Computing: A Review

2. Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies

3. Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory

4. MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones

5. Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

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