1. Microsoft Research: origins & mission Advance the field in the areas we choose to do research Transfer the best research results into Microsofts products Ensure the future of Microsoft and the computing field MSR was born from a 1990 memo from CTO Nathan Myhrvold Since 1991 led by Rick Rashid Peter Lee took over in July 2013

2. Microsoft Research worldwide ATL CAIRO ATL EUROPE MSR CAMBRIDGE MSR INDIA MSR ASIA MSR SILICON VALLEY STATION Q MSR REDMOND FUSE LABS RESEARCH CONNECTIONS ATL ISRAEL MSR NEW ENGLAND MSR NEW YORK ATL BRAZIL* * to open in 2014 3. NEARLY EVERY PRODUCT OR SERVICE FROM MICROSOFT INCLUDES TECHNOLOGY FROM MICROSOFT RESEARCH 4. What makes MSR unique Over 1,100 PhD researchers and engineers Less than 1% of Microsofts employee base, but by far the largest Computer Science research organization in the world Cover the breadth of computing Global locations allow us to hire the best and brightest The opportunity to have an impact on products and services that are used by billions of people 5. Value of Research to Microsoft Agility to drive & respond to technology shifts MSR generates ~ 20% of Microsofts IP Expanded problem-solving capabilities Promote use of MS platforms for research Enable other fields of science Long-term impact 6. MSR investment framework short-term long-term reactive open-ended Disruptive Blue Sky Mission- focused Sustaining 7. Kinect: technology foundations from MSR 1998 2004 remove echoes remove reverberation & noise computer vision: 1995 to 2010 depth-camera video body parts microphone arrays 2010 8. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Word Error Rate Speech recognition is really hard 9. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 WER % After 10+ years, an unexpected breakthrough 10. Speech translation demonstration 11. Building your own device 12. .NET Gadgeteer 13. Gadgeteer Modules 14. One Toolset 15. + + = 16. Orchestrating many, many devices 17. Lab of Things Downloads: Lab-of-things.com Join www.facebook.com/groups/labofthings/ Join mailing list send email: lab-of-things@microsoft.com Feedback/suggestions: lab-of-things@microsoft.com 18. Researching at scale 19. A new way of doing Research 20. Azure footprint 16 regions worldwide in 2014 21. Titanfall 22. Game sessions hosted using Azure Hosted using >100,000 Azure Virtual Machines 23. Within 1hr: 24. Assignment 25. Example 26. Azure for Research Accelerate the Speed of Scientific Discovery Windows Azure provides researchers with the power and scalability of cloud computing for collaboration, computation, and data-intensive processing. This open and flexible global cloud platform supports any language, tool, or framework. The Microsoft Azure for Research program: Free access to Azure cloud computing and storage (submit proposals for Windows Azure Research Awards) Azure for Research training classes Support and technical resources Apply the power of cloud computing to your computational and data challenges. Experiment at azure4research.com. 27. Institution City Date Federal University of Minas Gerais Belo Horizonte Aug, 18, 2014 State University of So Paulo - SC So Carlos Aug, 20, 2014 PUC-Rio Rio de Janeiro Aug, 22, 2014 Federal University of Pernambuco Recife Sept, 29, 2014 Federal University of Amazonas Manaus Oct, 1, 2014 Federal University of Rio Grande do Sul Porto Alegre Oct, 3, 2014 MSR eScience Workshop Guaruj Oct, 20, 2014 28. Name Institution Title Loureiro/ Anna Izabel J. Tostes Computer Science Department, Federal University of Minas Gerais (UFMG) A Collaborative Cloudbased Business Intelligence Platform for Transportation Networks Altigran Soares da Silva Computing Institute, Federal University of Amazonas (UFAM) Keyword-based System for Relational Database Carmem Satie Hara Federal University of Parana RING Project Fernando da Fonseca de Souza Universidade Federal de Pernambuco Cloud Databases: A model to guarantee data consistency Luiz Andr Portes Paes Leme Universidade Federal Fluminense Assessing Recommendation Approaches for Dataset Interlinking Marcelo Valadares Galdos Brazilian Bioethanol Science and Technology Laboratory (CTBE) / Brazilian Center of Research in Energy and Materials (CNPEM) Using Azure to run an integration of process-based environmental models and geographic information systems Marta Mattoso Federal Univ Rio de Janeiro User-Steering Phylogenetic Workflows in the Cloud Milton Cezar Ribeiro Sao Paulo State University (UNESP) Integrating phenological, landscape, fauna movement and remote sensing massive data and processing throughout e-Science and Cloud computing Rafael Duarte Coelho dos Santos INPE - Brazilian National Institute for Space Research Prototype Deployment of a Data Server for the Brazilian Weather and Climate Virtual Observatory Ricardo da Silva Torres Institute of computing, University of Campinas (UNICAMP) Big Image Data Management On the Cloud for e-Science Applications Eduardo Alves do Valle Jr. School of Electrical and Computer Engineering - FEEC, University of Campinas (UNICAMP) Medical Image Classification for Computer Aided Diagnosis with Deep Learning and Jumbo Vectors