Edge Artificial Intelligence Chips for the Cyberphysical Systems Era

Author:

Fuketa Hiroshi1,Uchiyama Kunio1

Affiliation:

1. AI Chip Design Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

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1. Ultra-Low Power Neural Network Processors using Analog-Based Computation;2024 9th International Conference on Integrated Circuits, Design, and Verification (ICDV);2024-06-06

2. Multiplication-Free Lookup-Based CNN Accelerator Using Residual Vector Quantization and Its FPGA Implementation;IEEE Access;2024

3. Lookup Table-Based Computing-in-Memory Macro Approximating Dot Products Without Multiplications for Energy-Efficient CNN Inference;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-10

4. To PiM or Not to PiM;Communications of the ACM;2023-05-24

5. Design of RISC-V heterogeneous multi-core SOC architecture for edge computing for power applications;2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC);2023-02-24

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