You are currently reading Issue 29, April 2015
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Connecting women and opportunity

Womanthology is a digital magazine and professional community powered by female energy and ingenuity.

Connecting women and opportunity

Womanthology is a digital magazine and professional community powered by female energy and ingenuity.

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Multi award-winning computer scientist, Dr. Cordelia Schmid, to honour women in computing research and share cutting edge insights into the future of artificial intelligence

Artificial intelligence

Dr. Cordelia Schmid works at Inria in France as Research Director and Head of the LEAR (LEArning and Recognition in Vision) Project Team, having authored over a hundred technical publications. Inria is a public science and technology institution, which now employs 3,449 researchers striving to invent the digital technologies of the future – the only public research body fully dedicated to computational sciences, combining computer sciences with mathematics. Cordelia holds an M.S. degree in Computer Science from the University of Karlsruhe alongside a Doctorate, also in Computer Science, from the Institut National Polytechnique de Grenoble and she was awarded the Longuet-Higgins Prize in 2006 and 2014.

Dr Cordelia Schmid
Dr. Cordelia Schmid

Dr. Cordelia Schmid will present the 5th Karen Spärck Jones Lecture, which honours women in computing research, on Wednesday 20th May 2015 in London. The lecture is hosted by BCS, The Chartered Institute for IT, and sponsored by IBM. This year’s lecture is entitled: “Automatic Understanding of the Visual World.” 

The future of artificial intelligence

Artificial intelligence (AI) is the intelligence exhibited by machines or software. One of the central problems of AI research is machine perception, i.e. the ability to understand the visual world based on the input from sensors such as cameras. Computer vision is the area which analyses visual input. A few selected sub-problems are facial recognition, object recognition and activity recognition.

Women in computing leading progress in AI

In this talk, I will present recent progress in visual understanding. It is for the most part due to design of robust visual representations and learned models capturing the variability of the visual world.

Progress has resulted in technology for a variety of applications; I will present a few examples. This being said, the gap between human and machine performance is still enormous. I will discuss future research necessary to reduce this gap.

 

The Karen Spärck Jones Lecture lecture is being held at BCS London office in 20th May and is free to attend. Book here.

It follows the annual London Hopper Colloquium, a free one day event providing networking opportunities for early career researchers. Book here.

 

http://www.bcs.org/

https://twitter.com/bcs

https://twitter.com/bcsacademy

http://lear.inrialpes.fr/~schmid/

 

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