重磅开讲：图灵奖得主—— Joseph Sifakis

来源：AI Time论道
  本文为约1680字，建议阅读4分钟
本文介绍了6月17日15:00-17:00举办的图灵奖得主Joseph Sifakis教授专场线上讲坛，欢迎扫码观看直播。

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！

AI TIME Master将会持续邀请世界级大师与大家线上分享顶级科学家的前瞻性观点。与世界级大师面对面，更有千载难逢的提问机会，朋友们快预约好时间相约直播间吧！这次你与世界级大师只有“一步之遥”！

扫码预约直播

报告题目

Machine Intelligence – Myths and Reality

报告时间

  2022年6月17日15:00-17:00

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.

直播结束后大家可以在群内进行提问，请添加“AI TIME小助手（微信号：AITIME_HY）”，回复“Master”，将拉您进“Master交流群”！

AI TIME微信小助手

主       办： 国家科技信息中心、AMiner·深圳·超脑

协       办：AI TIME

合作媒体： AI 数据派、学术头条

转播平台：中国工程院知领直播、学堂在线、蔻享学术、科研云

——END——