MIRACLE: Multimodal Information Retrieval via a Combined In-Memory Processing and Content Addressable Memory Approach

The rapid advancement of information technology has brought multimodal information retrieval into the research spotlight. Neural networks, particularly Transformers, have emerged as the dominant solution for extracting multimodal feature vectors. While neural network acceleration has been extensivel...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Liu, Xuehui, Wang, Xueyan, Yu, Tianyang, Cheng, Chen, Ran, Shuo, Wu, Bi, Jia, Xiaotao, Liu, Weiqiang, Qu, Gang, Zhao, Weisheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Accuracy Computer architecture content-addressable memory Energy efficiency Feature extraction Hamming distances hashing Information retrieval inmemory processing multimodal information retrieval Neural networks Sorting Transformers Vectors
Online Access:	Get full text
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