AI for Science: Practice from Baidu PaddlePaddle

AI4S (AI for Science) is an interdisciplinary field dedicated to solving and studying complex scientific problems using AI methods. Currently, AI4S has made significant breakthroughs in life science, energy science, physics and computer science, Earth and Environmental Science. Numerous fundamental software for AI4S have emerged as a result. As a global technology leader deeply engaged in the field of AI, Baidu strongly supports the deployment and application of AI4S solutions through its deep learning platform, PaddlePaddle. This paper presents a case study of PaddlePaddle, outlining its experience in accelerating innovation in the field of science. It explores the specific practices employed by PaddlePaddle to aid the development of AI4S, intending to provide constructive suggestions on how to accelerate the popularization of AI4S on the ground through deep learning platforms. The ultimate goal is to contribute to China's solution for AI-enabled scientific development in the wave of the new round of industrial revolution.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.23919/picmet64035.2024.10652607
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
2.10
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article

AI for Science: Practice from Baidu PaddlePaddle

Hua Tian, M. Zhang, Xiaomeng Chai
2 citations
Scientific Computing and Data Management
2.10
article

AI for Science: Practice from Baidu PaddlePaddle

Hua Tian, M. Zhang, Xiaomeng Chai
article en
2 citations

Abstract

AI4S (AI for Science) is an interdisciplinary field dedicated to solving and studying complex scientific problems using AI methods. Currently, AI4S has made significant breakthroughs in life science, energy science, physics and computer science, Earth and Environmental Science. Numerous fundamental software for AI4S have emerged as a result. As a global technology leader deeply engaged in the field of AI, Baidu strongly supports the deployment and application of AI4S solutions through its deep learning platform, PaddlePaddle. This paper presents a case study of PaddlePaddle, outlining its experience in accelerating innovation in the field of science. It explores the specific practices employed by PaddlePaddle to aid the development of AI4S, intending to provide constructive suggestions on how to accelerate the popularization of AI4S on the ground through deep learning platforms. The ultimate goal is to contribute to China's solution for AI-enabled scientific development in the wave of the new round of industrial revolution.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 9%
Scientific Computing and Data Management
2.10
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AI for Science: Practice from Baidu PaddlePaddle — Hua Tian, M. Zhang, et al. · (2024) | TGRS Research Map | TGRS