Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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...


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...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB opportunities Bulletin Item

Postdoc Position INRIA, Computer Vision & Machine Learning


The LEAR research team at INRIA Rhone-Alpes in Grenoble (France) is 
seeking outstanding postdoctoral researchers to join our lab for one or 
two years, starting fall 2007 to early 2008. Candidates should have a 
strong background and interest in Computer Vision or Machine Learning, 
and ideally both.

The postdoc will work primarily within the EU project CLASS, with focus 
on learning from loosely annotated images, such as found eg. on 
web-based image archives such as flickr. The goal is to improve 
text-based search results by analyzing co-occurrence of tags and visual 
content, a second goal is the detection of missing tags and erroneous tags.

The LEAR (Learning and Recognition in Vision) team studies methods for 
recognition and detection of visual categories, as well as large-scale 
image databases. Many of LEAR projects interface between machine 
learning and computer vision, investigating generative and 
discriminative probabilistic models, as well as kernel and boosting 
methods. Currently our group has 4 full-time staff members (Cordelia 
Schmid, Bill Triggs, Frederic Jurie, Herve Jegou), 3 postdocs, 2 
engineers, 9 PhD students, and several MSc students.

Grenoble is a lively city which hosts many foreign students and 
researchers. Located in the heart of the French Alps its direct 
surroundings offer great outdoor recreation including skiing, cycling, 
and hiking. Paris can be reached from Grenoble in 3h by train.

Candidates should send a CV, and a list of three references 
electronically to and


- Website LEAR
- Website CLASS