学术活动

Speaker

汪军,伦敦大学学院(UCL)计算机系教授、互联网科学与大数据分析专业主任

Time

2017.04.12 16:15-17:30

Venue

致远学院601报告厅

Abstract

The last decade has witnessed massive progresses in the field of Artificial Intelligence (AI). With supervision from labelled data, machines have, to some extent, exceeded human-level perception on visual recognitions, while fed with feedback reward, single AI units (aka agents) defeat humans in various games including Atari video games, Go game, and card game. Yet, true human intelligence embraces social and collective wisdom and many real-world AI applications often require multiple AI agents to work in a collaborative effort. A next grand challenge is to answer how large-scale multiple AI agents could learn human-level collaborations, or competitions, from their experiences with the environment where both of their incentives and economic constraints co-exist. In this talk, I shall sample some of our recent research on what is called artificial collective intelligence, ranging from machine bidders competing against each other in an auction environment for buying advertising placements, to image/text/music generation with minimax adversarial games, to coordinating multiple AI agents as a team to defeat their enemies in StarCraft combat games. I will finally conclude the talk by pointing out the future direction on this exciting field.

Bio

汪军,伦敦大学学院(UCL)计算机系教授、互联网科学与大数据分析专业主任,国际公认的计算广告学和智能推荐系统专家。主要研究智能信息系统,主要包括数据挖掘、计算广告学、推荐系统、机器学习、强化学习、生成模型等,已发表了100多篇学术论文。2007年,在美国获得了由微软 “超越搜索——语义计算和互联网经济学奖”。此外,他还是2014年Yahoo! FREP的获奖者之一,ACM SIGIR/CIKM的领域主席,多次获得最佳论文奖。
同时也是北京优路公司的创始人,这是一家基于人工智能和数据挖掘领域技术的创业公司,主要服务于在线媒体、自媒体,金融、电商、互联网娱乐等领域。

关于ZY-INS沙龙

时间:
每周三下午
地点:
致远学院601报告厅(包玉刚图书馆6楼)
形式:
主题演讲+自由交流,提供美味点心与茶水

致远学院作为我校基础学科拔尖学生培养试验基地,旨在培养引领未来的科技领袖,目前已有数学、物理、生命科学、计算机科学、化学、生物医学及工科500余名学生;自然科学研究院作为我校基础研究的交叉创新平台,旨在根本性提升交大的基础研究水平,目前已从海外引进30余名学者。两院共享位于思源湖畔的风景如画的物理空间,自然科学研究院的学者也已经成为致远学院创新型和国际化人才培养有力的师资来源。

ZY-INS沙龙将提供精美的点心、咖啡与茶水,为两院师生之间的交流提供一个轻松活泼的平台。沙龙将邀请学者做有关科技、人文、艺术等方面的内容新颖的主题演讲。

欢迎致远学院和自然科学研究院师生参加!