Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Video
Session one, Artificial Intelligence and Machine Learning in Cambridge 2016
09:30-09:50 Carl Rasmussen, University of Cambridge Variational Inference in Gaussian Processes for non-linear time series 09:50-10:10 Yingzhen Li, University of Cambridge Variational inference with Rényi divergencee 10:10-10:30 Thang Bui, University of Cambridge Deep Gaussian Processes…
Video
Session two – Artificial Intelligence and Machine Learning in Cambridge 2016
11:30-11:50 Antonio Criminisi, Microsoft Research Efficient machine learning for the quantitative analysis of medical images 11:50-12:10 Sebastian Nowozin, Microsoft Research Bayesian Time-of-Flight for Realtime Scene Decomposition into Geometry, Reflectance, and Light 12:10-12:30 Ryota Tomioka, Microsoft…
Publication