Statistical processing of uncertainty in artificial intelligence

Jing Nan; Jing Ren; Yuanyan Zhang; Deyang Li; Hao Wang; Shengkai Ji; Yu Chen

doi:10.1117/12.3011674

7 December 2023 Statistical processing of uncertainty in artificial intelligence

Jing Nan, Jing Ren, Yuanyan Zhang, Deyang Li, Hao Wang, Shengkai Ji, Yu Chen

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129415G (2023) https://doi.org/10.1117/12.3011674
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Dealing with uncertainty is an important issue in artificial intelligence, as real-world data and scenarios often come with uncertainty. The existence of uncertainty requires artificial intelligence systems to have the ability to handle incomplete information, randomness and unknown. Statistics provides multiple methods to deal with uncertainty. The methods can assist in reasoning and prediction in artificial intelligence systems. Artificial intelligence has the robustness and adaptability. It is crucial to consider how to better handle uncertainty. Because it can enhance the robustness and adaptability of the artificial intelligence system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jing Nan, Jing Ren, Yuanyan Zhang, Deyang Li, Hao Wang, Shengkai Ji, and Yu Chen "Statistical processing of uncertainty in artificial intelligence", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129415G (7 December 2023); https://doi.org/10.1117/12.3011674

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available