报告题目：感算融合的仿生视觉：如何科学地开展科学研究

报告人：柴扬 教授（香港理工大学）

报告时间：2023年5月25日16:00-17:30

报告地点：华南理工大学（大学城校区）环境与能源学院B4-215学术报告厅

        欢迎广大师生参加。

环境与能源学院

2023年5月18日

报告摘要：

According to the projection by Semiconductor Research Corporation and Semiconductor Industry Association, the number of sensor nodes exponentially increases with the development of the Internet of Things. By 2032, the number of sensors is expected to be ~45 trillion, which will generate >1 million zettabytes (10²⁷ bytes) of data per year. The massive data from sensor nodes obscure valuable information that we need it most. Abundant data movement between sensor and processing unit greatly increases power consumption and time latency, which poses grand challenges for the power-constraint and widely distributed sensor nodes in the Internet of Things. Therefore, it urgently requires a computation paradigm that can efficiently process information near or inside sensors, eliminate redundant data, reduce frequent data transfer, and enhance data security and privacy. We propose bioinspired in-sensor computing paradigm to reduce data transfer and decrease the high computing complexity by processing data locally. In this talk, we will discuss the hardware implementation of the in-sensor computing paradigms at the device and array levels. We will illustrate the physical mechanisms that lead to unique sensory response characteristics and their corresponding computing functions. In particular, bioinspired device characteristics enable the fusion of the sensor and computation functionalities, providing a way for intelligent information processing with low power consumption.

References

[1] Nature Electronics, 2022, 5, 84-91

[2] Nature, 2022, 602, 364

[3] Nature Electronics, 2020, 3, 664-671

[4] Nature, 2020, 579, 32-33

[5] Nature Nanotechnology, 2019, 14, 776-782

[6] Nature Electronics, 2022, 5, 483-484

[7] Nature Nanotechnology, 2023, 18, DOI: https://doi.org/10.1038/s41565-023-01379-2

报告人简介：柴扬教授，香港理工大学理学院副院长，香港物理学会副会长，IEEE杰出讲师(2016年起)，IEEE ED/SSC香港分会主席(2017-2019年)。