Work

ANP-L: A 22nm 0.72pJ/SOP Asynchronous SNN-based Edge-AI Processor Enabling One/Few-shot On-chip Incremental Learning

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

DOI: 10.1109/aicas64808.2025.11173148

Authors: Dexuan Huo, Jilin Zhang, Hong Chen

Institution: Tsinghua University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Science and Technology Major Project

OpenAlex ID: W7084083200

FWCI: 4.601

Cites: 12

Cited by: 2

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