LATEST NEWS-Tsinghua University

Sep15

Tsinghua University students win top prize in NSCSCC 2023 CPU design competition
?Two teams of students from the Department of Computer Science and Technology of Tsinghua University have achieved remarkable results in the 7th "Loongson Cup" National Student Computer System Cap...
Sep14

?Hongbo Ma is 2023 AGU Earth and Planetary Surface Processes Section “Luna B. Leopold Early Career Award” and “Robert Sharp Lecture” Recipient
Dr. Hongbo Ma was announced as AGU's 2023 Earth and Planetary Surface Processes Section “Luna B. Leopold Early Career Award” and “Robert Sharp Lecture” recipient on September 14
Sep14

?Tsinghua University wins grand prize in the National Teaching Achievement Award for Higher Education
Tsinghua University, as the only independently reporting unit, was honored with the grand prize in the National Teaching Achievement Award for higher education (undergraduate) for its teaching achi...
Sep12

?Tsinghua researchers achieve superconductivity breakthrough
On August 25th, a research group led by Prof. Ding Zhang and Prof. Qi-Kun Xue, reported their study on Josephson tunneling in
Sep11

Inaugural "Tsinghua Global Youth Dialogue" concludes
On the afternoon of August 30, the inaugural "Tsinghua Global Youth Dialogue" successfully concluded amidst a chorus of Auld Lang Syne. Under the theme of "United Youth, Shared Future," the Dialogu...
Sep09

?Tsinghua University Students Win EDAthon2023 Championship
?On August 25th, the EDAthon2023 Contest was held at the Hong Kong University of Science and Technology
Sep08

?International Freshmen Explore Tsinghua Bamboo Strips
?On August 29, over 150 international undergraduate freshmen from 31 countries and regions had a lecture on the Tsinghua Bamboo Strips at the university's Research and Conservation Center for Unea...
Sep06

Experimental demonstration of deep quantum neural networks on a superconducting processor
?Luyan Sun’s research group and Dong-Ling Deng’s research group at Tsinghua University have collaborated to carry out an experimental demonstration of training deep quantum neural networks (DQNN...

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