Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Plenary 3: Machine Learning: The 6th Wave of Computing
Data is accumulating at such a rate that there are no longer enough qualified humans to analyse it. Machine learning is needed to make data useful in many sectors which are drowning in it. Examples…
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Plenary 4: Data Challenges and Opportunities in the Next Decade
Jeannette Wing, Microsoft Research chairs a unique opportunity during the summit where a panel of experts take a step back from the details of the current research problems and look into the future not only…
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Machine Learning Welcome and Introductory Talk
Alan Crozier, Vice President, Microsoft France, welcomes everyone to the Microsoft Machine Learning Summit 2013. Rick Rashid, Chief Research Office, Microsoft Research Redmond, provides the introductory talk.
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Plenary 1: Machines (that learn) to See
Andrew Blake, Distinguished Scientist, Lab Director of Microsoft Research Cambridge. Discusses the question of whether intelligent systems will turn out to depend more on theories and models, or simply on largely amorphous networks trained on…
Event
Machine Learning Summit 2013
The Machine Learning Summit 2013, held in Paris, brought together thought leaders and researchers from a broad range of disciplines. Together they highlighted some of the key challenges posed by the new era of machine…
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Research in Focus – Teaching Machines to See
Fei Fei Li, Associate Professor, Stanford University and Sebastian Nowozin, Researcher, Microsoft Research Cambridge. When we visually perceive the world, we intuitively recognize objects, scene categories, human motions—all sorts of semantically meaningful interpretations of what…
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Research in Focus – Building an Automated Statistician
Zoubin Ghahramani, Professor of Information Engineering, University of Cambridge The application of Bayesian models has opened up new possiblities for teaching computers to draw inferences from data, with little or no intervention on the part…
