Editorial: Efficient AI in particle physics and astrophysics

被引：0

作者：

Duarte, Javier ^{[1
]}

Liu, Mia ^{[2
]}

Ngadiuba, Jennifer ^{[3
]}

Cuoco, Elena ^{[4
,5
]}

Thaler, Jesse ^{[6
,7
]}

机构：

[1] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA

[2] Purdue Univ, Dept Phys, W Lafayette, IN USA

[3] Fermilab Natl Accelerator Lab, Particle Phys Div, Batavia, IL USA

[4] European Gravitat Observ, Cascina, Italy

[5] Scuola Normale Super Pisa, Pisa, Italy

[6] MIT, Ctr Theoret Phys, Cambridge, MA USA

[7] NSF AI Inst Artificial Intelligence & Fundamental, Cambridge, MA USA

来源：

FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2022年 / 5卷

基金：

美国国家科学基金会;

关键词：

efficiency; FPGA; physics-inspired; neural network; high energy physics; particle astrophysics; pruning; quantization;

D O I：

10.3389/frai.2022.999173

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页数：3

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