Architecting Efficient Multi-modal AIoT Systems

作者：Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Jia Chen, Luhong Liang, Kwang‐Ting Cheng, Minyi Guo · 年份：2023 · DOI：10.1145/3579371.3589066 · 被引用次数：14 · 研究领域：Speech and dialogue systems、Video Analysis and Summarization、Music and Audio Processing

Multi-modal computing (M2C) has recently exhibited impressive accuracy improvements in numerous autonomous artificial intelligence of things (AIoT) systems. However, this accuracy gain is often tethered to an incredible increase in energy consumption. Particularly, various highly-developed modality sensors devour most of the energy budget, which would make the deployment of M2C for real-world AIoT applications a difficult challenge.