Christopher Bishop presenting \u201cApplied Machine Learning: The Dawn of a New Era\u201d.<\/p><\/div>\n
\u201cI\u2019ve always liked to combine more fundamental theoretical research together with more applied research. The goal of any research is to really make impact,\u201d said Pollefeys. \u201cImpact can be working on a great idea or paper, but some of these ideas, when brought to industry can make a much bigger impact, a real contribution. This combination can be very powerful and a win-win,\u201d he added.<\/p>\n
Microsoft Research Cambridge and Computer Vision RnD Zurich Lab Directors Christopher Bishop and Marc Pollefeys discussing the Microsoft research engagement in Switzerland.<\/p><\/div>\n
In all, nine projects were launched at the workshop, including:<\/p>\n
Hands in Contact for Augmented Reality<\/strong>
\nEPFL: Pascal Fua, Mathieu Salzmann, Helge Rhodin; Microsoft: Bugra Tekin, Sudipta Sinha, Federica Bogo, Marc Pollefeys<\/p>\nPhotonic Integrated Multi-Wavelength Sources for Data Centers<\/strong>
\nEPFL: Tobias J. Kippenberg; Microsoft Research Cambridge: Hitesh Ballani<\/p>\nTTL-MSR Taiming Tail-Latency for Microsecond-scale RPCs<\/strong>
\nEPFL: Marios Kogias, Edouard Bugnion; Microsoft Research Redmond: Irene Zhang, Dan Ports<\/p>\nMonitoring, Modelling, and Modifying Dietary Habits and Nutrition Based on Large-Scale Digital Traces<\/strong>
\nEPFL: Robert West; University of Bern: Arnaud Chiolero, Magali Rios-Leyvraz; Microsoft Research AI: Ryen White, Eric Horvitz, Emre Kiciman<\/p>\nSkilled Assistive-Care Robots through Immersive Mixed-Reality Telemanipulation<\/strong>
\nETH: Stelian Coros, Roi Poranne; Microsoft: Federica Bogo, Bugra Tekin, Marc Pollefeys<\/p>\nQIRO – A Quantum Intermediate Representation for Program Optimisation<\/strong>
\nETH: Torsten H\u00f6fler, Renato Renner; Microsoft: Matthias Troyer, Martin R\u00f6tteler<\/p>\nScalable Active Reward Learning for Reinforcement Learning<\/strong>
\nETH: Andreas Krause; Microsoft Research Cambridge: Sebastian Tschiatschek<\/p>\nProject Altair: Infrared Vision and AI Decision-Making for Longer Drone Flights<\/strong>
\nETH: Roland Siegwart, Nicholas Lawrance, Jen Jen Chung; Microsoft Research AI: Andrey Kolobov, Debadeepta Dey<\/p>\nA Modular Approach for Lifelong Mapping from End-User Data<\/strong>
\nETH: Roland Siegwart, Cesar Cadena, Juan Nieto; Microsoft: Johannes Sch\u00f6nberger, Marc Pollefeys<\/p>\nWe look forward to following the progress of these new projects as well as seeing their results and the impressive impact they create.<\/p>\n
The successful collaborations between Microsoft, ETH and EPFL highlighted at this workshop create exciting research opportunities and develop the pipeline of young researcher talent that these projects support. The Swiss JRC actively supports young researchers early in their career development not only through the funding of PhDs and provision of tools (such as Azure Cloud resources), but devotes the time and talent of Microsoft researchers in regular interaction and the exchange of ideas.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
January 31, 2019 marked the start of the sixth workshop for the Swiss Joint Research Center (Swiss JRC), an innovative and successful collaborative research engagement between Microsoft Research and the two universities that make up the Swiss Federal Institutes of Technology\u2014ETH Zurich (ETH) and EPFL. The Swiss JRC is a continuation of an outstanding collaborative […]<\/p>\n","protected":false},"author":37074,"featured_media":566115,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[241770,194455],"tags":[],"research-area":[13556],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-566097","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-machine-learning","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[510392],"related-groups":[611553],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"","byline":"Scarlet Schwiderski-Grosche","formattedDate":"February 5, 2019","formattedExcerpt":"January 31, 2019 marked the start of the sixth workshop for the Swiss Joint Research Center (Swiss JRC), an innovative and successful collaborative research engagement between Microsoft Research and the two universities that make up the Swiss Federal Institutes of Technology\u2014ETH Zurich (ETH) and EPFL.…","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/566097"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/37074"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=566097"}],"version-history":[{"count":12,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/566097\/revisions"}],"predecessor-version":[{"id":566763,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/566097\/revisions\/566763"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/566115"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=566097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=566097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=566097"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=566097"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=566097"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=566097"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=566097"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=566097"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=566097"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=566097"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=566097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}