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Beyond voice recognition: Windows PhoneCortana, the world’s first truly personal digital assistant, is available soon on Windows Phone 8.1. Powered by Bing, Cortana is driven by state-of-the-art algorithms using natural language, machine learning, and contextual signals that benefit from advances incubated at Microsoft Research. This approach uses the massive clickstream-feedback loop of web search, along with additional semantics and data. This approach enables Cortana to grow in breadth of domains that cover the web: from the more common...
Video details
Date: 17 April 2014
Duration: 00:01:53
Publisher: Microsoft
When Urban Air Quality Meets Big Data Urban air quality -- the concentration of PM2.5 -- is of great importance in protecting human health. While there are limited air-quality-monitor-stations in a city, air quality varies by location significantly and is influenced by multiple complex factors, such as traffic flow and land use. Consequently, people cannot know the air quality of a location without a monitoring station. This project infers real-time, fine-grained air-quality information throughout a city, based on air-quality data reported by...
Video details
Date: 17 April 2014
Duration: 00:03:12
Publisher: Microsoft
HereHere NYC Mines Data for Emotional InsightHereHere NYC is a research project that enables neighborhoods to generate opinions based on public data. The project summarizes how your neighborhood, or other New York City neighborhoods of interest, are doing via a daily email digest, neighborhood-specific Twitter feeds, and status updates on a map. The goals are to:Create compelling stories with data to engage larger communities. Invent light daily rituals for connecting to the hyperlocal. Using characterization as a tool to drive data engagement....
Video details
Date: 17 April 2014
Duration: 00:03:34
Publisher: Microsoft
Get to know Microsoft ResearchA quick peek at what's new at Microsoft Research.
Video details
Date: 17 April 2014
Duration: 00:01:26
Publisher: Microsoft
Elevating human-computer interaction to a new level of sophisticationThe Situated Interaction project, a research effort co-led by Eric Horvitz, a Microsoft distinguished scientist and managing director of Microsoft Research Redmond, and his colleague Dan Bohus, focuses on enabling many forms of complex, layered interaction between machines and humans.
Video details
Date: 8 April 2014
Duration: 00:04:52
Publisher: Microsoft
Shape-Writing Enhancements for Windows PhoneOn January 16, 2014, Microsoft researchers and Windows Phone engineers set out to challenge the Guinness World Records fastest text message using a touch-screen mobile phone record.Typing on a touchscreen device without having to look at the screen could be extremely useful in cases when it’s either dangerous, interruptive or impolite to text. Microsoft researchers developed a novel UX and robust decoder to shape write in groups of characters. To demonstrate the feasibility of this approach, the research...
Video details
Date: 4 April 2014
Duration: 00:01:12
Publisher: Microsoft
Chris Wendt and Will Lewis
Microsoft Translator Hub: Discussion of BLEU ScoreChris Wendt interviews Dr. Will Lewis to get a deeper insight into automatic scoring of customized machine translation systems. Microsoft Translator Hub & Bing Translator use an automatic scoring mechanism known as BLEU (Bilingual Evaluation Understudy). Dr. Will Lewis explains how this scoring mechanism works, how it compares to human evaluation and what factors impact BLEU score.
Video details
Date: 23 May 2013
Duration: 00:17:43
Publisher: Microsoft
Eric Horvitz, Iain Buchan, Lionel Tarassenko, and Michel Cosnard
Plenary 4: Data Challenges and Opportunities in the Next DecadeJeannette Wing, Microsoft Research chairs a unique opportunity during the summit where a panel of experts take a step back from the details of the current research problems and look into the future not only in the topic of “(Big) Data” and what it opportunities it offers to machine learning, but more broadly.Panelists: Eric Horvitz, Microsoft Research, Michel Cosnard, INRIA, Iian Buchan, University of Manchester, Lionel Tarassenko, University of Oxford
Video details
Date: 24 April 2013
Duration: 00:54:37
Collection: Machine Learning Summit 2013
Hermann Hauser
Plenary 3: Machine Learning: The 6th Wave of ComputingData is accumulating at such a rate that there are no longer enough qualified humans to analyse it. Machine learning is needed to make data useful in many sectors which are drowning in it. Examples abound from healthcare, genomics, oil exploration, marketing etc. There have been 5 distinct waves of computing which all had the human at the centre of the industry. The internet of things will change this. Most communication will be between machines. To make them useful to us again they will need machine...
Video details
Date: 24 April 2013
Duration: 01:03:05
Collection: Machine Learning Summit 2013
Chris Bishop
Q&A with Christopher BishopFollow up to Andrew Blake’s session and question and answer session with Christopher Bishop.
Video details
Date: 23 April 2013
Duration: 00:09:26
Publisher: Microsoft
Zoubin Ghahramani
Research in Focus – Building an Automated StatisticianZoubin Ghahramani, Professor of Information Engineering, University of Cambridge The application of Bayesian models has opened up new possiblities for teaching computers to draw inferences from data, with little or no intervention on the part of a human analyst. In short, we are on the path toward building a truly automated statistician.
Video details
Date: 23 April 2013
Duration: 00:11:41
Collection: Machine Learning Summit 2013
Fei Fei Li and Sebastian Nowozin
Research in Focus – Teaching Machines to SeeFei Fei Li, Associate Professor, Stanford University and Sebastian Nowozin, Researcher, Microsoft Research Cambridge. When we visually perceive the world, we intuitively recognize objects, scene categories, human motions—all sorts of semantically meaningful interpretations of what our eyes are taking in. Researchers are using highly flexible statistical models to teach computers to extract the meaningful information out of visual data and perform important visual tasks.
Video details
Date: 23 April 2013
Duration: 00:12:33
Collection: Machine Learning Summit 2013
Judea Pearl
Q&A with Judea PearlQuestion and answer session with Judea Pearl
Video details
Date: 23 April 2013
Duration: 00:05:30
Collection: Machine Learning Summit 2013
Judea Pearl
Plenary 2: The Mathematics of Causal Inference: with Reflections on Machine LearningThe development of graphical models and the logic of counterfactuals have had a marked effect on the way scientists treat problems involving cause-effect relationships. Practical problems requiring causal information, which long were regarded as either metaphysical or unmanageable can now be solved using elementary mathematics. Moreover, problems that were thought to be purely statistical, are beginning to benefit from analyzing their causal roots.
Video details
Date: 23 April 2013
Duration: 01:11:08
Collection: Machine Learning Summit 2013
Andrew Blake
Q&A with Andrew BlakeQuestion and answer session with Andrew Blake
Video details
Date: 23 April 2013
Duration: 00:19:41
Collection: Machine Learning Summit 2013
Andrew Blake
Plenary 1: Machines (that learn) to SeeAndrew Blake, Distinguished Scientist, Lab Director of Microsoft Research Cambridge. Discusses the question of whether intelligent systems will turn out to depend more on theories and models, or simply on largely amorphous networks trained on data at ever great scale. The world of computer science and artificial intelligence can indulge in a bit of cautious celebration. There are several examples of machines that have the gift of sight, even if to a degree that is primitive on the scale of human or animal...
Video details
Date: 23 April 2013
Duration: 00:56:19
Collection: Machine Learning Summit 2013
Alan Crozier and Rick Rashid
Machine Learning Welcome and Introductory TalkAlan Crozier, Vice President, Microsoft France, welcomes everyone to the Microsoft Machine Learning Summit 2013. Rick Rashid, Chief Research Office, Microsoft Research Redmond, provides the introductory talk.
Video details
Date: 23 April 2013
Duration: 00:29:50
Collection: Machine Learning Summit 2013
Chris Bishop
Research in Focus: Probablistic ProgrammingThe traditional machine-learning approach relied on developing thousands of specific algorithms, each good for teaching machines how to do one or a few particular things. Chris Bishop, Distinguished Scientist, Microsoft Research Cambridge, is devising a new paradigm for solving machine learning, involving a model-based approach and probabilistic programming, which deals with the messy, complicated uncertainty of real-world data.
Video details
Date: 7 March 2013
Duration: 00:13:38
Publisher: Microsoft
Silvia Chiappa
Research in Focus: Using Machine Learning in HealthcareSilvia Chiappa, Post-doc Researcher, Microsoft Research Cambridge, is using machine learning to analyze factors such as smoking, COPD, and asthma that can affect lung function. The probabilistic model allows her to combine all these data and shared variables among the populations and draw inferences and calculate the effects of the variables in terms of adding years to the 'age' of lungs.
Video details
Date: 7 March 2013
Duration: 00:09:24
Publisher: Microsoft
Chris Bishop and Chris Cashman
Introducing the Machine Learning SummitThe live broadcast of the Microsoft Research Machine Learning Summit will include keynotes from machine learning experts and enlightening discussions with leading scientific and academic researchers about approaches to challenges that are raised by the new era in machine learning. Watch it streamed live from Paris on April 23, 2013, 13:30–17:00 Greenwich Mean Time (09:30–13:00 Eastern Time, 06:30–10:00 Pacific Time) at http://MicrosoftMLS.com.
Video details
Date: 7 March 2013
Duration: 00:00:50
Publisher: Microsoft
Francis Bach and Leon Bottou
Research in Focus: Large-Scale Machine LearningThe emergence of Big Data has outstripped the power of computers. The computing power required to analyze grows exponentially with the data. Francis Bach, SIERRA Research Team Leader, INRIA, and Léon Bottou, Principal Researcher, Microsoft Research, describe how researchers are using machine learning to meet the challenge of developing algorithms that balance the competing needs of predicting well and predicting quickly.
Video details
Date: 7 March 2013
Duration: 00:09:22
Publisher: Microsoft
Preview clip of the prototype 'Distribution Modeller' tool under development at the Computational Ecology and Environmental Science group (CEES) at Microsoft Research Cambridge, UK.
Video details
Date: 27 February 2013
Duration: 00:00:24
Publisher: Microsoft
Preview clip of the prototype 'Distribution Modeller' tool under development at the Computational Ecology and Environmental Science group (CEES) at Microsoft Research Cambridge, UK.
Video details
Date: 27 February 2013
Duration: 00:00:42
Publisher: Microsoft
FlashFill in Microsoft Excel 2013 Makes it Easy To Manipulate DataFlashFill, a new feature in Microsoft Excel 2013, learns from your intentions and can extend your data manipulation preferences throughout similar data. This brief tutorial illustrates how easy it is for non-programmers to quickly manipulate data in a way that previously required creating macros.
Video details
Date: 1 February 2013
Duration: 00:02:37
Publisher: Microsoft
BLINK for Windows Phone 8 TutorialWith BLINK for Windows Phone 8, you'll never miss the best shot. BLINK captures a burst of images beginning even before you press the shutter and continuing beyond. No problem if you push the shutter a few moments too early or too late. With BLINK, a simple finger swipe lets you find the perfect shot. You can even return to BLINK to find a second and third shot from a single capture. Advanced image stabilization technology from Microsoft Research removes camera shake and lets you focus on the important...
Video details
Date: 16 January 2013
Duration: 00:02:16
Publisher: Microsoft
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