from    
to    
search  

 


第九期“城市前沿讲堂”——Household Sustainability
Beyond the Green Facade: A Field Experiment on Environmental Narrativesin Fin...
”行业前沿讲堂”第3期——数据治理赋能数字化转型和数据资产化
量子计算+化学小型研讨会
报告题目:
清华软件论坛第十一期|李宇佳-AlphaCode: 编程竞赛级的程序自动生成
 报告人:
李宇佳
Yujia Li (李宇佳) is a research scientist at DeepMind. He got his Ph.D. at
University of Toronto and bachelor's degree from the School of Software
at Tsinghua University (2011). He co-led the AlphaCode project at DeepMind.
报告时间:
2023-01-05 15:30
报告地点:
腾讯会议:184 144 050
主办单位:
软件学院
  简介:

Yujia Li (李宇佳) is a research scientist at DeepMind. He got his Ph.D. at University of Toronto and bachelor's degree from the School of Software at Tsinghua University (2011). He co-led the AlphaCode project at DeepMind.


AlphaCode, a system for code generation that achieved an average ranking in the top 54.3% in simulated evaluations on programming competitions, solves problems by generating diverse programs using trained transformer-based networks, filtering and clustering those programs to maximum 10 submissions.

今日相关信息
 
同类别相关信息
Artificial Intelligence and Autonom...
AIR学术沙龙第27期 | 自监督学习:理论...
【清华医学全球大师讲堂】第一期| 沈祖...
AIR学术沙龙第26期 | AI for COVID-19...
卫健学术沙龙:数智赋能的大健康研究与管...
学术活动