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CATEGORIES:Darwin College Lecture Series
SUMMARY:Computer Vision - Professor Andrew Blake\, Samsung
  AI Research Centre
DTSTART;TZID=Europe/London:20190301T173000
DTEND;TZID=Europe/London:20190301T183000
UID:TALK102886AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/102886
DESCRIPTION:Can we trust the judgement of machines that see? C
 omputer vision is being entrusted with ever more c
 ritical tasks: from access control by face recogni
 tion\, to diagnosis of disease from medical scans 
 and  hand-eye coordination for surgical and nuclea
 r decommissioning robots\, and now to taking contr
 ol of motor vehicles.\n\n \n\nThe latest technolog
 ies for visual decision-making use neural networks
 \, transmitting signals from input to output in ma
 ny stages\, where the signals at intermediate stag
 es are not easily interpreted. This makes it harde
 r to understand and therefore trust the decisions.
  Moreover\, it has been shown that decisions from 
 neural networks can often be reversed surprisingly
  easily -  by so-called "adversarial" counterexamp
 les\, suggesting a certain fragility in a network'
 s operation. How sure can we be that the computer 
 makes good visual judgements and decisions? \n\nAn
 drew Blake is a pioneer in the development of the 
 theory and algorithms that make it possible for co
 mputers to behave as seeing machines. He is especi
 ally interested in segmentation as optimisation\, 
 in visual tracking as probabilistic inference\, an
 d in real-time\, 3D vision. He trained in mathemat
 ics and electrical engineering in Cambridge UK and
  at MIT\, and studied for a doctorate in Artificia
 l Intelligence at the University of Edinburgh. He 
 was an academic for 18 years\, in Edinburgh and Ox
 ford\, ultimately as Professor of Information Engi
 neering at Oxford University. He joined Microsoft 
 in 1999 to found the Computer Vision group in Camb
 ridge\, before becoming Director of Microsoft’s Ca
 mbridge Laboratory in 2010 and a Microsoft Disting
 uished Scientist.   \nCurrently he is a consultant
  in Artificial Intelligence. In particular he is C
 hairman of Samsung’s AI Research Centre SAIC in Ca
 mbridge.  He is consultant and Scientific Adviser 
 to the FiveAI autonomous driving company\, and ser
 ves as an adviser to Siemens.\nIn 2010\, he was el
 ected to the council of the Royal Society and was 
 appointed to the board of the EPSRC in 2012. He wa
 s Director at The Alan Turing Institute 2015-18. H
 e has been Honorary Professor of Machine Intellige
 nce at the University of Cambridge since 2007 and 
 is a Fellow of Clare Hall. He has been a Fellow of
  the Royal Academy of Engineering since 1998 and F
 ellow of the Royal Society since 2005.\nHe twice w
 on the prize of the European Conference on Compute
 r Vision\, with R. Cipolla in 1992 and with M. Isa
 rd in 1996\, and was awarded the IEEE David Marr P
 rize (jointly with K. Toyama) in 2001. The Royal A
 cademy of Engineering awarded him their Silver Med
 al in 2006\, and in 2007 he received the Instituti
 on of Engineering and Technology Mountbatten Medal
  (previously awarded to computer pioneers Maurice 
 Wilkes and Tim Berners-Lee\, amongst others.) He w
 as named a Distinguished Researcher in Computer Vi
 sion by the IEEE in 2009. In 2011\, with colleague
 s at Microsoft Research\, he received the Royal Ac
 ademy of Engineering MacRobert Gold Medal for the 
 machine learning at the heart of the Microsoft Kin
 ect 3D camera.  \nExactly 80 years after Einstein\
 , in 2014\, he gave the Gibbs lecture at the Joint
  Mathematics Meetings – the 6th British scientist 
 to do so in 90 years. The BCS awarded him its Love
 lace Medal and prize lecture in 2017. He holds hon
 orary doctorates at the University of Edinburgh an
 d the University of Sheffield.\n
LOCATION:LMH\, Lady Mitchell Hall
CONTACT:Janet Gibson
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