MSR AI Engage – Learning and Intelligence

Update: 2016-12-08

Description

Given the investment and evidence of progress in Artificial Intelligence some suggest that it is merely a matter of time until AI can match, complement or surpass human intelligence. This session looks at recent research advances in machine learning and cognitive science and discusses the needs and design principles to support fundamental research in AI. Together we will look at how to push AI technology towards more natural human-AI communication and interaction that will facilitate social learning and collaborations between humans and AI agents.

Comments

In Channel

Hopcroft Interview

2017-08-0901:52

Microsoft Research Asia Research Groups

2017-08-0900:51

Artificial Intelligence Research at Microsoft Research Asia

2017-01-0300:34

Future Talent 2040

2016-12-1401:02:22

MSR AI Engage – Learning and Intelligence

2016-12-0852:07

Machine Learning: Theory Meets Application

2016-12-0801:17:11

Deep Learning and Reinforcement Learning

2016-12-0801:07:21

Social Multimedia and Visual Q&A

2016-12-0857:51

Learning for Vision and Multimedia

2016-12-0801:03:59

Machine Learning System and Infrastructure

2016-12-0801:02:14

Urban Big Data and Urban Computing

2016-12-0801:09:22

3D Real World Capturing and Reconstruction

2016-12-0855:59

Robotics

2016-12-0859:00

Machine Learning: Generative vs. Discriminative

2016-12-0801:00:14

AI and Psychology

2016-12-0848:37

微软计算思维

2016-12-0202:43

Learning at Scale as a Driver of Innovation

2016-11-1546:05

Panel – Engaging with AI: How Human and Machine can Work Together to Shape the Future

2016-11-1544:06

Chasing the Next Big Thing: Why Top Companies are Betting on Research

2016-11-1544:54

A Science of Cyber – Security?

2016-11-1543:43

00:00

MSR AI Engage – Learning and Intelligence

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MSR AI Engage – Learning and Intelligence

Microsoft Research Asia

MSR AI Engage – Learning and Intelligence