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...


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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...


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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...


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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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Notice

AISB opportunities Bulletin Item

EPSRC iCASE Interdisciplinary PhD Opportunity in Telehealth, Hull University, UK

http://www.jobs.ac.uk/job/AHP647/phd-in-computer-science-applied-to-health/

 
EPSRC iCASE Interdisciplinary PhD Opportunity at Hull University in Telehealth

Joint funded EPSRC/Philips PhD opportunity at the University of Hull in Predictive Algorithms for 
Telehealth Service Improvement and Evaluation. Application process now open.

http://www.jobs.ac.uk/job/AHP647/phd-in-computer-science-applied-to-health/

The successful candidate must have a 1st class or 2i in a (bio)medical informatics, computer 
science or similar degree with excellent mathematical and programming skills, a strong interest 
in clinical predictive modelling, clinical epidemiology, biostatistics and some understanding of 
health economics (i.e. the cost-effectiveness of medical interventions).

Application open to permanent UK residents or EU nationals resident in the UK for 3-years prior to 
the start of the grant.