Bishop:<\/strong> The key word there would be personalization. It\u2019s almost ironic, it\u2019s almost a paradox, that to achieve personalization, you need to look at large numbers of people. You need to look at the crowd.<\/p>\nImagine that I want to build something that can recognize your particular handwriting. I could get you to spend years providing me with lots of examples of your handwriting and then run machine learning on that. But that would be tedious; that\u2019s not a good solution. If I collect the data from millions of people, I can analyze it and perhaps discover that there is a variety of different handwriting styles, and I can effectively learn recognizers tuned to each of them. Then I only need a small sample of your writing to be able to detect which is your writing style and provide you with a recognizer tuned to your particular style.<\/p>\n
One of the great dreams\u2014and I think it will come to fruition in the next decade or so\u2014has a lot to do with personalized computing. I think we\u2019ll see computers becoming much more personalized, in all kinds of ways. They will become much more tuned to our needs and understand us better as individuals.<\/p>\n","protected":false},"excerpt":{"rendered":"
From April 22 to 24, Microsoft Research will host the Machine Learning Summit 2013 at Microsoft\u2019s Le Campus in Issy-les-Moulineaux, just outside of Paris. The event gathers thought leaders and researchers who will discuss key challenges posed by a new era of machine learning and identify promising techniques with the potential to transform society. Keynote […]<\/p>\n","protected":false},"author":39507,"featured_media":0,"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,"_classifai_error":"","footnotes":""},"categories":[194455],"tags":[195008,186897,201989,196140,186418,196267,196549,193625,187358,187270,203385,213917],"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-301190","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-christopher-bishop","tag-computer-vision","tag-infer-net","tag-kinect-sensor","tag-machine-learning","tag-machine-learning-summit-2013","tag-moores-law","tag-natural-user-interfaces","tag-neural-networks","tag-personalization","tag-probabilistic-programming","tag-random-variable","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199561],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[],"related-projects":[169917],"related-events":[],"related-researchers":[],"msr_type":"Post","byline":"","formattedDate":"April 22, 2013","formattedExcerpt":"From April 22 to 24, Microsoft Research will host the Machine Learning Summit 2013 at Microsoft\u2019s Le Campus in Issy-les-Moulineaux, just outside of Paris. The event gathers thought leaders and researchers who will discuss key challenges posed by a new era of machine learning and…","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/301190"}],"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\/39507"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=301190"}],"version-history":[{"count":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/301190\/revisions"}],"predecessor-version":[{"id":308726,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/301190\/revisions\/308726"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=301190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=301190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=301190"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=301190"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=301190"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=301190"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=301190"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=301190"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=301190"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=301190"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=301190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}