the National Key Research and Development Program of China(No.2017YFA0700900,2017YFA0700902,2017YFA0700901,2017YFB1003101);the National Natural Science Foundation of China(No.61472396,61432016,61473275,61522211,61532016,61521092,61502446,61672491,61602441,61602446,61732002,61702478,61732020);Beijing Natural Science Foundation(No.JQ18013);the National Basic Research Program of China(No.2015CB358800);National Science and Technology Major Project(No.2018ZX01031102);the Transformation and Transfer of Scientific and Technological Achievements of Chinese Academy of Sciences(No.KFJ-HGZX-013);Strategic Priority Research Program of Chinese Academy of Science(No.XDB32050200).
Deep learning algorithms are the basis of many artificial intelligence applications.Those algorithms are both computationally intensive and memory intensive,making them difficult to deploy on embedded systems.Thus var...
Supported by the National Key Research and Development Program of China(No.2017YFA0700902,2017YFB1003101);the 973 Program of China(No.2015CB358800);National Science and Technology Major Project(No.2018ZX01031102)
Deep learning accelerators(DLAs)have been proved to be efficient computational devices for processing deep learning algorithms.Various DLA architectures are proposed and applied to different applications and tasks.How...
Supported by the National Basic Research Program of China under Grant No 2013CBA01502;the National Natural Science Foundation of China under Grant Nos 11025523 and J1103206;the National Major Scientific Instruments and Equipment Development Projects under Grant No 2012YQ030142
During the laser foil interaction, the output ion beam quality including the energy spread and beam divergence can be improved by the target ablation, due to the direct laser acceleration (DLA) electrons generated i...