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

Internship positions - Robust Computer Vision, Machine Learning, and Semantic Imaging - Siemens, NJ.


Several summer internship positions at PhD level are available in the
Integrated Data Systems Department at Siemens Corporate Research, Inc.,
Princeton, New Jersey. 

Our focus is to exploit large collections of data to build robust vision
applications. 

You will have the opportunity to test your computer vision and machine
learning knowledge in a challenging problem-solving environment. You
will be encouraged to think out of the box, innovate and find solutions
to real-life problems.

The candidates should have a proven background in applied machine
learning, graphical models, pattern recognition, tracking and
information fusion, shape inference, 3D/4D segmentation, and robust
statistics.

Candidates should have C/C++ proficiency on MS Windows platform. 

Siemens Corporate Research (SCR) is one of the world's premier research
labs for computer vision, medical imaging, and applied machine learning.
SCR is located in Princeton, USA, and provides a stimulating environment
for highly talented and self-motivated researchers. SCR excels in
transferring academic research into innovative products, and works in
close collaboration with clinical partners. The lab has more than 250
researchers and over 100 students involved in hundreds of University,
Clinical and Government collaborations. SCR is part of Siemens Corporate
Technology, a division comprising 2500+ research scientists in
Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai,
Bangalore, St. Petersburg and Moscow.

Siemens is an Equal Opportunity Employer encouraging diversity in the
workplace. 

Please forward your resume to:

Gustavo.Carneiro@siemens.com 
Dorin.Comaniciu@siemens.com