The next session on the FSI DevCon was focusing mostly on Machine Learning – how can you use many of the achievements recently came out of Microsoft (most of them open sourced!) to target creating a new kind of AI. We’ve seen some amazing demos of Project Oxford's (Microsoft's in-cloud solution for evaluating queries like 'Twins or not?' and much more serious questions as well) scalability, up to 150 billion evaluations per second. As I have been a Windows Hello user as well, obvious was the question – does the face recognition being the same in Windows Hello and Project Oxford? Turned out to be they do share some of the codebase, but Hello does depend on 3D camera points and much more to make it more robust.
· Microsoft expands availability of Project Oxford intelligent services: http://blogs.technet.com/b/machinelearning/archive/2015/10/26/microsoft-expands-availability-of-project-oxford-intelligent-services.aspx
· Microsoft open sources Distributed Machine Learning Toolkit for more efficient big data research: http://blogs.technet.com/b/inside_microsoft_research/archive/2015/11/12/microsoft-open-sources-distributed-machine-learning-toolkit-efficient-big-data-research.aspx
· The Language-Integrated Quantum Operations (LIQUi|>) simulator: https://github.com/msr-quarc/liquid
One of the best quotes of the days I think should be paired up with the next discussion topic: Universal Windows Apps and Platform, which was: "Windows RT OS? No we are not discussing that now." There is not much I'm allowed to share on the rest of the discussion.
As the last of this series, I'm saying this here the last time: It's a different Microsoft now! 🙂