|
 |
On the cover: The pace of science and technology is accelerating, and the future is arriving much faster. During the great process of reaching the future, the now highly comprehensive and interdisciplinary network of science, so-called 'ScienceX' by The Innovation, plays a more important role than ever before. We believe the development of interdisciplinary science and technology concerns our destiny in the coming future. |
|
|
Add comment (English only) |
|
|
|
|
|
Position: Home > issue > May 10, 2022 Volume 3, Issue 4 |
|
|
|
Accelerating deep learning with high energy efficiency: From microchip to physical systems |
Category: Commentary Download: PDF Figure Endnote |
Author: Huanhao Li, Zhipeng Yu, Qi Zhao, Tianting Zhong, Puxiang Lai |
|
|

Diagram of deep learning realizations
In the era of digits and internet, massive data have been continuously generated from a variety of sources, including video, photo, audio, text, internet of things, etc. It is intuitive that more accurate patterns can be obtained by feeding more data for effective analysis; despite the data redundancy, a clearer picture can be delineated for better decision-making. However, traditional methods, even in machine learning, do not benefit from the expanding amount of data, whose performance nearly saturates when the data collection is large enough.

|
|
|
|