Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Video
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…
Video
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…
Video
Q&A with Christopher Bishop
Follow up to Andrew Blake’s session and question and answer session with Christopher Bishop.
Video
Plenary 2: The Mathematics of Causal Inference: with Reflections on Machine Learning
The development of graphical models and the logic of counterfactuals have had a marked effect on the way scientists treat problems involving cause-effect relationships. Practical problems requiring causal information, which long were regarded as either…
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…
Video
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…
Video
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.
