UW hosts one of the top centers of AI research in the world. With twenty top faculty, numerous postdocs and a great group of students, we study the computational mechanisms underlying intelligent behavior and distribute many advanced software systems for machine learning, probabilistic reasoning, automated planning, machine reading and intelligent interfaces. Join us!

The UW AI community welcomes its newest member, Carlos Guestrin, who will be joining us in the fall of 2012.

UW CSE AI Program ranked 6th best nationally by US News in 2010

UW CSE Faculty member Pedro Domingos is named AAAI Fellow

UW CSE Postdoc Vibhav Gogate and Faculty member Pedro Domingos win several categories at the 2010 UAI Approximate Inference Challenge

Featured in ICRA 2012 St. Paul, MN, USA

    Detection-based Object Labeling in 3D Scenes
Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox
  Project:  RGB-D Object Recognition and Detection
 
Featured in NIPS 2011 Granada, Spain

    An ideal observer model for identifying the reference frame of objects
Joseph L. Austerweil, Abram L. Friesen and Thomas L. Griffiths
 

      Learning to Recover Meaning from Unannotated Conversational Interactions
Yoav Artzi and Luke S. Zettlemoyer
 
Featured in UbiComp 2011 Beijing, China

      Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera
Hao Du, Peter Henry, Xiaofeng Ren, Marvin Cheng, Dan B Goldman, Steven Seitz and Dieter Fox
  Project:  RGB-D Mapping: Using Depth Cameras for Dense 3D Mapping
 
Featured in IJRR 2011

      Manipulator and Object Tracking for In-Hand 3D Object Modeling
Michael Krainin, Peter Henry, Xiaofeng Ren and Dieter Fox
  Project:  Robotic In-Hand 3D Object Modeling
 
Featured in UAI 2011

    Approximation by Quantization
Vibhav Gogate and Pedro Domingos
  Project:  Machine Reading, Alchemy, Statistical Relational Learning
 

    Probabilistic Theorem Proving
Vibhav Gogate and Pedro Domingos
  Project:  Machine Reading, Alchemy, Statistical Relational Learning
 

    Sum-Product Networks: A New Deep Architecture
Hoifung Poon and Pedro Domingos
   Best Paper Award
  Project:  Machine Reading, Alchemy, Statistical Relational Learning, Large-Scale Machine Learning
 
Featured in IROS 2011

      Depth Kernel Descriptors for Object Recognition
Liefeng Bo, Xiaofeng Ren and Dieter Fox
  Project:  RGB-D Object Recognition and Detection
 

      RGB-D Object Discovery Via Multi-Scene Analysis
Evan Herbst, Xiaofeng Ren and Dieter Fox
  Project:  3-D Object Discovery Using Motion
  Downloads:  [Slides
 

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