AI News, Association for the Advancement of Artificial Intelligence

Association for the Advancement of Artificial Intelligence

Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.

AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.

Major AAAI activities include organizing and sponsoring conferences, symposia, and workshops, publishing a quarterly magazine for all members, publishing books, proceedings, and reports, and awarding grants, scholarships, and other honors.

Contributions make possible projects such as the AI poster, the open access initiative, components of the AAAI annual conference, a lowered membership rate for students as well as student scholarships, and more.

Intelligence in Wikipedia

Google Tech Talks November 11, 2008 ABSTRACT Berners-Lee's vision of the Semantic Web is hindered by a chicken-and-egg problem, which can be best ...

Pedro Domingos: "The Master Algorithm" | Talks at Google

Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and ...

Qiang Yang: When Transfer Learning Meets Deep Learning

Abstract: Deep learning has achieved great success as evidenced by many challenging applications. However, deep learning developed so far has some ...

Stanford Seminar: Buildings Machines That Understand and Shape Human Emotion

CS547: Human-Computer Interaction Seminar AI's Final Frontier? Buildings Machines That Understand and Shape Human Emotion Speaker: Jonathan Gratch, ...

"Never-Ending Learning to Read the Web," Tom Mitchell

August 2013: "Never-Ending Learning to Read the Web." Presented by Tom M. Mitchell, Founder and Chair of Carnegie Mellon University's Machine Learning ...

GTAC 2011: Keynote - How Hackers See Bugs

6th Annual Google Test Automation Conference 2011 (GTAC 2011) "Cloudy With A Chance Of Tests" Computer History Museum Mountain View, CA USA ...

Keynote: Smart Enough to Work With Us? Foundations and Challenges for Teamwork-Enabled AI Systems

For much of its history, AI research has aimed toward building intelligent machines independently of their interactions with people. As the world of computing has ...

Taskar Memorial Lecture 2018: M. Jordan (UC, Berkeley)

On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex Abstract: Many new theoretical challenges have arisen in the area of gradient-based ...

A. Richard Newton Distinguished Innovator Lecture Series - Chris Bregler

Chris Bregler, academy award-winning scientist, engineer, producer and entrepreneur. Currently senior staff scientist, Google/Alphabet.

[Atalk] Benjamin Kuipers - How can we trust a robot? 1/2

Benjamin Kuipers from the University of Michigan is asking us a simple but nevertheless essential question: how can we trust a robot? We are increasingly ...