AI Europe 2016

  Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...


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AISB convention 2017

  In the run up to AISB2017 convention (http://aisb2017.cs.bath.ac.uk/index.html), I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


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Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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Notice

AISB opportunities Bulletin Item

PhD student position in statistical machine translation, Amsterdam, THE NETHERLANDS



PhD student position in Statistical Machine Translation at ILLC

For the STW-funded project "Data-Powered Domain-Specific Translation Services On Demand" led by 
Dr Khalil Sima'an, the ILLC is looking for a PhD student in Hierarchical Statistical Machine 
Translation.

The DatAptor project aims at research and development for advanced statistical machine translation 
(SMT) systems that adapt to a new domain automatically using algorithms for extracting and 
weighting suitable training instances in an industry-scale, multi-domain parallel corpus. The 
project addresses various challenges including statistical weighting of parallel data instances 
to better fit user-supplied example documents, SMT adaptation by-example to new domains, and 
extensions of hierarchical and syntactic SMT systems. The PhD student is expected to work among 
others on the latter topic, i.e., hierarchical (and syntax-enriched) SMT systems.

The closing date for application is 12 October 2012. Vacancy number: 
W12-185. For more information, see
http://www.uva.nl/vacatures/vacatures.cfm/0244E201-B788-4CEF-ADA48B56FBDF99E3
or contact Dr Khalil Sima'an at k.simaan@uva.nl.