【TTJU青椒学术沙龙】（第245期）预告：量子人工智能
量子人工智能
◆【TTJU青椒学术沙龙】第245期◆
智能与计算学部 张鹏
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基本信息
时间：2022年11月18日（周五）中午12:30
本期“Transactions of Tianjin University”青椒学术沙龙采取线上腾讯会议的方式进行，具体信息如下：
点击链接直接加入：
https://meeting.tencent.com/dw/wf12XYIwM56w
或查询添加：会议ID：833-448-396 密码：8789
Lecture: Quantum Artificial Intelligence
When: 12:30 p.m., Friday, November, 18th, 2022
How: The lecture will be delivered online via Tencent Meeting simultaneously (Click the link:
https://meeting.tencent.com/dw/wf12XYIwM56w
Or the Meeting ID: 833-448-396，cipher:8789)
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报名方式
点击“阅读原文”进行报名
报名截止时间：11月18日上午10：00
Click "read the original" to sign up
Registration deadline: 10:00 am, November 18
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主讲人简介 / Lecturer
张鹏，教授、博士生导师、天津大学-中科闻歌计算智能联合实验室主任，入选微软亚洲研究院铸星计划，十余年来致力于量子人工智能和量子语言建模的研究工作，并积极推动研究成果的落地应用。发表论文包括中国计算机学会（CCF）推荐A/B类会议论文（NeurIPS, SIGIR，ICLR，ACL，IJCAI，AAAI，WWW，CIKM，EMNLP）和期刊论文（TNNLS，TKDE，TIST，IP&M）。获得顶级学术会议SIGIR 2017 Best Paper Award Honorable Mention，欧洲信息检索会议ECIR 2011 Best Poster Award。
Lecturer:
ZHANG Peng, is a professor and doctoral supervisor, vice Dean of the School of Computer Science of Tianjin University. He has devoted himself to the research work of quantum information retrieval and quantum language modeling for more than ten years, and actively promoted the application of the quantum language model. He published top conference papers including NeurIPS, SIGIR, ICLR, ACL, IJCAI, AAAI, WWW, CIKM, EMNLP and leading journal papers such as TNNLS, TKDE, TIST, IP&M. He has received SIGIR 2017 Best Paper Award Honorable Mention and ECIR 2011 Best Poster Award.
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报告内容简介/About the Lecture
量子理论和人工智能的交叉研究越来越受人们的关注。本次报告讲解量子力学、深度学习与自然语言理解三者之间的本质联系，并针对自然语言的量子不确定性关键科学问题，介绍量子自然语言处理的前沿进展，以及未来挑战。
【相关学科领域方向】
计算机科学、人工智能、量子理论、自然语言处理
About the Lecture:
In recent years, the cross research of quantum theory and artificial intelligence has attracted more and more attention. This lecture will explain the fundamental connection between natural language and quantum mechanics, and introduce the frontier progress of quantum natural language processing and future challenges for the key scientific problems of quantum uncertainty in natural language.
Related Research Directions: Computer Science, Artificial Intelligence, Quantum Theory, Natural Language Processing;
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其他 / Organizers
【主办单位】
校工会、化工学院、智能与计算学部、校青年教师联谊会
Organizers:
Trade Unions, School of Chemical Engineering and Technology, College of Computing and Intelligence, Young Teachers Association
TTJU简介