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Linker-Mediated Assembly: from Colloidal LEGOs to COVID Testing
Chemical Biopsy Probe, a Tool for Next Generation of Analytical Chemists
清华2024高分子前沿讲座 高分子微球的研究和工业应用【报告取消】
新型核酸药物开发和生物医学应用
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.

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