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【直播】【AI TIME】图灵奖得主Joseph Sifakis院士:Machine Intelligence

KouShare 蔻享学术 2022-09-24





直播信息

报告题目

Machine Intelligence – Myths and Reality

报告人

Joseph Sifakis教授

报告时间

2022年6月17日 15:00-17:00

主办方

国家科技信息中心

AMiner·深圳·超脑

直播二维码


6月17日15:00-17:00,由深圳国际科技信息中心与AMiner·深圳·科技超脑主办,AI TIME发起,特别邀请图灵奖得主Joseph Sifakis教授,开启“AI TIME Master”专场线上讲坛。这将是一场不容错过的世界级盛宴,在这场盛宴里会有哪些思维碰撞,灵感交融?会解锁哪些前瞻性观点?又会产生怎样的头脑风暴?让我们拭目以待!


报告人介绍

图灵奖得主
长期访问杰出教授
法国科学院院士
法国国家工程院院士
欧洲科学院院士
美国艺术与科学学院院士
美国国家工程院院士


报告摘要

We attempt a multifaceted comparison between human and machine intelligence, based on our research on autonomous systems and our recent book (*) analyzing the links between information, knowledge and intelligence. Starting from the observation that there is a great confusion about what intelligence is and how it can be obtained, we discuss the relevance of existing criteria for comparing human and machine intelligence. In addition, we compare the veracity and validity of knowledge produced by humans and machines, showing some notable analogies and differences between scientific knowledge and that produced by neural networks. We highlight autonomy as an important step from weak AI to general AI, present a characterization of autonomous systems, and discuss their main differences from automated systems. We show how some aspects of human intelligence can be modeled by a mental system, i.e., an autonomous system with additional features and mechanisms that account for intelligent behavior. In addition, we identify two characteristic functions of human intelligence and highlight the research challenges in bridging the gap with machine intelligence. We conclude with a look at what the future holds, discussing the societal impact of intelligent systems and the potential for collaboration between humans and machines to push the frontiers of knowledge development and application.


AI TIME源起于2019年,旨在发扬科学思辨精神,邀请各界人士对人工智能理论、算法和场景应用的本质问题进行探索,加强思想碰撞,链接全球AI学者、行业专家和爱好者,希望以辩论的形式,探讨人工智能和人类未来之间的矛盾,探索人工智能领域的未来。


迄今为止,AI TIME已经邀请了550多位海内外讲者,举办了逾300场活动,超120万人次观看。


扩展阅读

 

1.【AI TIME】Mila实验室来啦!

2.【AI TIME】青光眼估计和预测的深度学习模型

3.【AI TIME】元宇宙,是技术颠覆?还是产业革命?

4.【AI TIME】迈向常识知识的高级语义理解

5.【AI TIME】弗吉尼亚理工大学周大为教授:复杂稀缺类分析

编辑:王媛媛

蔻享学术平台,国内领先的一站式科学资源共享平台,依托国内外一流科研院所、高等院校和企业的科研力量,聚焦前沿科学,以优化科研创新环境、传播和服务科学、促进学科交叉融合为宗旨,打造优质学术资源的共享数据平台。



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