Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Our research
Content type
+
Downloads (455)
+
Events (449)
 
Groups (151)
+
News (2742)
 
People (735)
 
Projects (1106)
+
Publications (12579)
+
Videos (5740)
Labs
Research areas
Algorithms and theory47205 (66)
Communication and collaboration47188 (63)
Computational linguistics47189 (11)
Computational sciences47190 (69)
Computer systems and networking47191 (127)
Computer vision208594 (21)
Data mining and data management208595 (10)
Economics and computation47192 (25)
Education47193 (84)
Gaming47194 (24)
Graphics and multimedia47195 (66)
Hardware and devices47196 (66)
Health and well-being47197 (32)
Human-computer interaction47198 (155)
Machine learning and intelligence47200 (93)
Mobile computing208596 (17)
Quantum computing208597 (18)
Search, information retrieval, and knowledge management47199 (62)
Security and privacy47202 (30)
Social media208598 (11)
Social sciences47203 (41)
Software development, programming principles, tools, and languages47204 (40)
Speech recognition, synthesis, and dialog systems208599 (10)
Technology for emerging markets208600 (6)
1–25 of 93
Sort
Show 25 | 50 | 100
1234Next 
Eric Horvitz
Eric Horvitz’s vision on the future of artificial intelligenceManaging director and distinguished scientist at Microsoft Research, Eric talks about AI, which he describes as the crashing crest of the wave of computer science.
Video details
Date: 23 July 2015
Duration: 00:01:12
Publisher: Microsoft
Eric Horvitz and Josh Tenenbaum
Computational rationalityEric Horvitz, managing director anddistinguished scientist, Microsoft Research, and Josh Tenenbaum, professor,Massachusetts Institute of Technology, discuss putting a computational lens onscientific theories of rationality, human cognition, and the future ofartificial intelligence.
Video details
Date: 23 July 2015
Duration: 00:10:07
Publisher: Microsoft
Ann M. Bartuska and Lucas Joppa
USDA and Microsoft Research Innovation Challenge for food resilienceThe United States Department of Agriculture (USDA) and Microsoft are sponsoring the Innovation Challenge, a competition to develop data-driven software applications that help visualize and explore how climate change will affect the resiliency of food systems in the United States. Challenge participants will have access to a Microsoft Azure cloud-based data portal hosting key USDA datasets on agricultural practices and outcomes that span the past 100 years, enabling participants to investigate how food...
Video details
Date: 22 July 2015
Duration: 00:02:27
Publisher: Microsoft
Machine teaching brings machine learning to the massesMicrosoft researchers are at the forefront of machine teaching: an effort to help people without a machine learning background teach their systems to get better based on experience.
Video details
Date: 10 July 2015
Duration: 00:01:09
Publisher: Microsoft
Charles Rich, Dan Bohus, Eric Horvitz, Larry Zitnick, Lidong Zhou, and Manuela Veloso
Integrative AI: PanelThe panel discusses challenges and opportunities in integrative artificial intelligence (AI), an area concerned with the development of systems that efficiently and robustly integrate multiple AI technologies (e.g., vision, speech, learning, real-time control) and can act and interact in the open world. While over the past years we have seen significant progress on core AI technologies, the science of integrating these competencies into larger systems that are robust, transparent, and maintainable remains...
Video details
Date: 9 July 2015
Duration: 01:05:40
Collection: Faculty Summit 2015
Dan Bohus, Eric Horvitz, and Larry Zitnick
Integrative AIOver the last 15 years, significant advances have been made in inference and decision making under uncertainty, machine learning, vision, speech recognition, natural language processing, and dialog. Supported by these advances, efforts to develop end-to-end intelligent systems that integrate multiple competencies and act in the open world have brought into focus new research challenges. Interesting opportunities arise at the confluence of traditional AI fields, for instance between computer vision and...
Video details
Date: 9 July 2015
Duration: 01:02:53
Collection: Faculty Summit 2015
Baining Guo, Martial Hebert, Tao Mei, and Zhengyou Zhang
Computer Vision and Intelligent ServicesRecent advances in image understanding have opened many avenues for computer vision-based intelligent services. These technological advances—which span a broad range of visual understanding tasks including object recognition, video event detection, image search, and scene reconstruction—can facilitate a variety of image analysis applications from visual identification of users to 3D city mapping and detecting child exploitation images. Moreover, by harnessing the power of the cloud,...
Video details
Date: 8 July 2015
Duration: 01:28:49
Collection: Faculty Summit 2015
Christopher Bishop, Eric Horvitz, Fei Fei Li, Josh Tenenbaum, Michael L. Littman, and Oren Etzioni
Panel: Progress in AI: Myths, Realities, and AspirationsModerated by Eric Horvitz, Managing Director, Microsoft ResearchPanelists:Fei-Fei Li, Associate Professor, Stanford UniversityMichael Littman, Professor of Computer Science, Brown UniversityJosh Tenenbaum, Professor, Massachusetts Institute of TechnologyOren Etzioni, Chief Executive Officer, Allen Institute for Artificial IntelligenceChristopher Bishop, Distinguished Scientist, Microsoft Research
Video details
Date: 8 July 2015
Duration: 00:59:59
Collection: Faculty Summit 2015
Introduction to the Language Understanding Intelligent Service (LUIS) -- part of Project Oxford. LUIS lets you build language understanding models specific to your domain, and consume them in your application as an HTTP service. LUIS is available at https://www.luis.ai. More information about Project Oxford is available at http://projectoxford.ai.
Video details
Date: 2 June 2015
Duration: 00:09:44
Publisher: Microsoft
Microsoft Band enhancements include machine learning boostMicrosoft researchers' innovations add a virtual keyboard and voice replies to Microsoft Band, along with machine-learning enhancements to canned responses.​
Video details
Date: 25 February 2015
Duration: 00:03:01
Publisher: Microsoft
Horvitz: ItIn this excerpt from a Microsoft Research Luminaries interview, Eric Horvitz, Distinguished Scientist and Managing Director, Microsoft Research Redmond, explains why it's important to pursue Artificial Intelligence.
Video details
Date: 27 January 2015
Duration: 00:01:13
Publisher: Microsoft
Horvitz: Competition in AI helps fuel innovationIn this excerpt from a Microsoft Research Luminaries interview, Eric Horvitz, Distinguished Scientist and Managing Director, Microsoft Research Redmond, is excited that competitive forces will accelerate advances in Artificial Intelligence.​
Video details
Date: 27 January 2015
Duration: 00:01:26
Publisher: Microsoft
Kai-Wei Chang
Practical Learning Algorithms for Structured PredictionMachine learning techniques have been widely applied in many areas. In many cases, high accuracy requires training on large amount of data, adding more expressive features and/or exploring complex input and output structures, often resulting in scalability problems. Nevertheless, we observed that by carefully selecting and caching samples, structures, or latent items, we can reduce the problem size and improve the training speed and eventually improve the performance. Based on this observation, we...
Video details
Date: 20 January 2015
Duration: 00:55:41
Collection: Candidate Talk
Krysta Svore on quantum computing and machine learningSenior Researcher Krysta Svore comments on the potential effect quantum computing can have on machine learning.
Video details
Date: 23 October 2014
Duration: 00:01:38
Publisher: Microsoft
In-Air Gestures Around Unmodified Mobile DevicesIn research led by ETH-Zurich, we present a novel machine learning based algorithm extending the interaction space around mobile devices. The technique uses only the RGB camera now commonplace on off-the-shelf mobile devices. Our algorithm robustly recognizes a wide range of in-air gestures, supporting user variation, and varying lighting conditions. We demonstrate that our algorithm runs in real-time on unmodified mobile devices, including resource-constrained smartphones and smartwatches. Our goal is not...
Video details
Date: 5 October 2014
Duration: 00:03:41
Publisher: Microsoft
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
Dave Wecker
Languages, compilers, and computer-aided design tools will be essential for scalable quantum computing, which promises an exponential leap in our ability to execute complex tasks. LIQUi|> is a modular software architecture designed to control quantum hardware. It enables easy programming, compilation, and simulation of quantum algorithms and circuits, and is independent of a specific quantum architecture. LIQUi|> contains an embedded, domain-specific language designed for programming quantum...
Video details
Date: 29 May 2014
Duration: 00:45:00
Publisher: Microsoft
1–25 of 93
Sort
Show 25 | 50 | 100
1234Next 
> Our research