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Learning to Be a Depth Camera for Close-Range Human Capture and InteractionAmong Microsoft Research's contributions to SIGGRAPH 2014, a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regression forests to learn how to map from near infrared intensity images to absolute, metric depth in real-time. We demonstrate a variety of...
Video details
Date: 11 August 2014
Duration: 00:03:42
Publisher: Microsoft
John Platt Plenty Excited About AIMicrosoft researcher John Platt discusses his enthusiasm forartificial intelligence and machine learning during a video interview, thelatest in the Microsoft Research Luminaries series.
Video details
Date: 31 July 2014
Duration: 00:16:58
Publisher: Microsoft
Project Adam demo from Faculty Summit 2014Watch Project Adam identify different breeds of dogs in this demo from the Faculty Summit 2014 keynote address.
Video details
Date: 21 July 2014
Duration: 00:02:55
Publisher: Microsoft
Deep learning enables large-scale computer image recognitionTrishul Chilimbi, Partner Research Manager for Microsoft Research, discusses Project Adam, and how deep neural networks have enabled large-scale computer image recognition with astounding accuracy.​
Video details
Date: 14 July 2014
Duration: 00:13:50
Publisher: Microsoft
 Introducing Project Adam: a new deep-learning systemProject Adam is a new deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry.
Video details
Date: 14 July 2014
Duration: 00:02:36
Publisher: Microsoft
Arjmand Samuel, Buz Chmielewski, and Nilanjan Banerjee
New Hope for People Living with ParalysisLearn how Nilanjan Banerjee from the University of Maryland, BaltimoreCounty, uses the Lab of Things as the platform to interconnect wearable sensorslike gloves, headbands, and capacitive sensors built into clothing, bedsheets,and wheelchair pads. These sensors capture/monitor subtle motions such asfinger twitching, lower arm rotation, and head movements among paralysispatients, with the ultimate goal of providing these individuals the ability tocontrol appliances in caregiving and home settings.
Video details
Date: 10 July 2014
Duration: 00:01:58
Collection: Faculty Summit 2014
Publisher: Microsoft
Consuming Sports: Information, Interaction, and Innovation People increasingly are consuming live sports with a second screen in their hands -- a phone, a tablet, or a computer -- because they need more information to stay focused. We see a new virtual cycle arising to couple that information more closely with the broadcast experience: Better information is conveyed to the viewer, innovative methods lead to more interaction, and data analytics, via machine learning, lead to even better information. More interesting and meaningful information, which can range from...
Video details
Date: 8 July 2014
Duration: 00:51:35
Publisher: Microsoft
Rich Caruana
CodaLab: Introduction to WorksheetsIn this brief video, Dr. Rich Caruana introduces us to the concept and usage of Worksheets in CodaLab.
Video details
Date: 24 June 2014
Duration: 00:04:51
Publisher: Microsoft
Windflow: Mining flight data to predict wind conditionsThe Windflow project uses aircraft in flight as a vast sensor network to infer atmospheric conditions with greater accuracy. Devised by Ashish Kapoor, a senior researcher at Microsoft Research who specializes in machine learning and decision making, and Eric Horvitz, distinguished scientist and managing director of Microsoft Research Redmond, Windflow combines data from wind stations and flight data from the U.S. Federal Aviation Administration with a probabilistic model to infer wind velocity.
Video details
Date: 3 June 2014
Duration: 00:07:06
Publisher: Microsoft
Skype Translator: Breaking down language barriersPeter Lee, Microsoft Research VP, shares insights and a sneak peek into the Skype Translator, derived from decades of research in speech recognition, automatic translation, and machine learning technologies. The Skype Translator is now being developed jointly by Skype and Microsoft Research teams, and combines voice and IM technologies with Microsoft Translator, and neural network-based speech recognition to deliver near real-time cross-lingual communication. With the Skype Translator, we're one step...
Video details
Date: 27 May 2014
Duration: 00:01:59
Publisher: Microsoft
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
Collection: TechFair 2014
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
Collection: TechFair 2014
Publisher: Microsoft
Kati London
HereHere NYC Provides Insight Into How Your Neighborhood Is DoingHereHere 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
Collection: TechFair 2014
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
Collection: TechFair 2014
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
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