Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB opportunities Bulletin Item

1.5-years PostDoc Position at INRIA/ENS Paris - immediate start


1.5-years PostDoc Position at INRIA/ENS Paris
***********************************************

MODELING AND RECOGNITION OF REALISTIC HUMAN ACTIONS IN VIDEO

Recent technology has turned the video into an easily created and widely spread media available as digital TV broadcasts, Internet videos (YouTube, Video Google, BBC Motion Gallery), professional digital archives and personal video collections.
This large and ever growing amount of data currently presents a challenge for many video applications including video search, browsing, content filtering and others. Human actions represent the large and essential part of video content, hence, their automatic interpretation is crucial to enable future video applications.

The objective of this project is to understand actions and interactions in unconstrained video depicting everyday human activities such as in sitcoms, feature films, or news segments.
The work will build upon and will extend our recent advances in this direction (see e.g. http://www.irisa.fr/vista/actions)
using the modern tools of computer vision, machine learning and multi-modal data mining.

The successful candidate will work within a joint INRIA-Microsoft
(Cambridge) project and will be a part of INRIA/Willow team http://www.di.ens.fr/willow located at ENS/Paris. We will provide a stimulating working environment and a leading expertise in visual recognition of objects, scenes and human actions.
The research will be carried out with Ivan Laptev, Patrick Perez, Jean Ponce, Josef Sivic, Francis Bach and Andrew Zisserman.

We encourage applications from strong and motivated candidates with

   * PhD in Computer Vision or Machine Learning
   * A solid background in programming with C/C++ and/or Matlab.
   * Experience in one or several following areas
      - visual recognition methods
      - speech/sound processing
      - text mining

Starting time: immediately

To apply and/or to get more information please contact Jean Ponce Jean.Ponce@ens.fr Ivan Laptev Ivan.Laptev@inria.fr