Microsoft Research

Microsoft Research

Views:
48,658,209
Subscribers:
351,000
Videos:
9,418
Duration:
297:18:41:14

Microsoft Research is a YouTube channel which has at least 351 thousand subscribers, with his content totaling at least 48.66 million views views across around 9.42 thousand videos.

Created on ● Channel Link: https://www.youtube.com/channel/UCCb9_Kn8F_Opb3UCGm-lILQ



All Videos by Microsoft Research



PublishedVideo TitleDurationViewsCategoryGame
2016-06-24KrishiPustak: A social networking system for low-literate farmers5:58656
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 72:52:43117Let's Play
2016-06-22Studio99 Presents: The 2015 Stranger Genius Nominees Show and Discuss Their Work1:18:2053Discussion
2016-06-22The Linear Algebraic Structure of Word Meanings1:31:56414
2016-06-22Single-shot error correction with the gauge color code1:23:46222
2016-06-22Panel: Progress in AI: Myths, Realities, and Aspirations1:00:433,861
2016-06-22Studio99 Presents: Michael Gough and "Drawing as Literacy."1:08:11131
2016-06-22Comics and Stuff: An Introduction1:10:31114
2016-06-22Making Objects Count: A Shape Analysis Framework for Proving Polynomial Time Termination1:08:1334
2016-06-22Green Security Games1:25:19129
2016-06-22Panel 4: Publishing Content: The Article of the Future1:32:3888
2016-06-22Improving Urban Public Education: Lessons from Charter Schools56:0080
2016-06-22Coloring the Universe: An Insider's Look at Making Spectacular Images of Space46:1348
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 31:51:3265
2016-06-22Theory and Experiments on the Spontaneous Evolution of Culture1:01:5162
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 21:39:0452
2016-06-22Panel 3: Measuring Content: Evaluation, Metrics and Measuring Impact1:01:1127
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 81:18:13250
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 51:24:23203
2016-06-22Privacy and Online Advertising4:38414
2016-06-22Introduction to LUIS10:149,175
2016-06-22Panel 1 - Capturing the Research Lifecycle1:14:228
2016-06-22Nimantha Baranasuriya2:47166
2016-06-22What are the prospects for automatic theorem proving?1:02:4989
2016-06-22Planetary Predictions: Spring 20143:32112
2016-06-22RoomAlive: Magical Experiences Enabled by Scalable, Adaptive Projector-Camera Units4:051,515
2016-06-22Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions4:273,621
2016-06-22Improving Access to Clinical Data Locked in Narrative Reports: An Informatics Approach1:10:3771
2016-06-22Demo of an 802.11a/g sniffer implemented in Ziria2:19524
2016-06-22(s|qu)eries: Visual Regular Expressions for Querying and Exploring Event Sequences4:22177
2016-06-22Irides: Attaining Quality, Responsiveness and Mobility for Virtual Reality Head-mounted Displays3:18388
2016-06-22Juggling the Effects of Latency: Motion Prediction Approaches to Reducing Latency in Dynamic Project3:05385
2016-06-22Exploring Interactive Furniture with EmotoCouch2:36568
2016-06-22Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming5:01386
2016-06-22Advances in Quantum Algorithms and Devices: A Quantum Approximate Optimization Algorithm43:051,411
2016-06-22Social Computing Symposium 2016: Post Screen Personas and Listening Machines, Tim Hwang18:4611
2016-06-22Symposium: Algorithms Among Us - Panel "Near-term issues"30:5986
2016-06-22Design Expo 20152:21:29137
2016-06-22Automated SMT-based Verification for Reasoning about Approximations58:41107
2016-06-22Exploiting Energy-Aware Programming to Build Energy-Efficient System Software53:51438
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 638:1986
2016-06-22Advances in Quantum Algorithms & Devices: Exact synthesis for qubit unitaries37:40582
2016-06-22Towards Understandable Neural Networks for High Level AI Tasks - Part 31:28:0175
2016-06-22IMS-Microsoft Research Workshop: Foundations of Data Science - Opening Remarks and Morning Session I41:00161
2016-06-22Peter Lee Address to Summer School 2014 Attendees44:5545
2016-06-22Approximating Integer Programming Problems by Partial Resampling52:42693
2016-06-22IMS-Microsoft Research Workshop: Foundations of Data Science - Opening Remarks and Morning Session I36:32304
2016-06-22Proof Engineering, from the Four Colour to the Odd Order Theorem1:07:20355
2016-06-22Thinking for Programmers: Rising Above the Code1:09:313,126
2016-06-22Optimal and Adaptive Online Learning1:03:02101
2016-06-22Tutorial: Introduction to Reinforcement Learning with Function Approximation2:18:366,604Tutorial
2016-06-22Towards Understandable Neural Networks for High Level AI Tasks - Part 51:33:0582
2016-06-22IMS-Microsoft Research Workshop: Foundations of Data Science - False Discovery Rates - a new deal30:091,326
2016-06-22Interactive Biotechnology: Cloud Labs, Biotic Games, DIY kits, and more47:58684Vlog
2016-06-22An Algorithm for Precision Medicine57:52530
2016-06-22Reverse Engineering Autonomous Language Acquisition1:00:49142
2016-06-22Code Hunt Workshop - Day 2 Session 754:0042
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 443:5829
2016-06-22Tutorial: High-Performance Hardware for Machine Learning2:04:217,600Tutorial
2016-06-22Representation Power of Neural Networks59:01222
2016-06-22Synthetic Biology: New Tools for an Industry at an Inflection Point51:25507Vlog
2016-06-22Topological Data Analysis: potential applications to computer vision56:1512,475Vlog
2016-06-22Tutorial: Large-Scale Distributed Systems for Training Neural Networks2:15:19761
2016-06-22Tutorial: Deep Learning2:29:563,654Tutorial
2016-06-22Towards Understandable Neural Networks for High Level AI Tasks - Part 41:25:5750
2016-06-22Oral Session: Attractor Network Dynamics Enable Preplay and Rapid Path Planning20:051,875
2016-06-22Python+Machine Learning tutorial - Introduction1:11:531,340
2016-06-22DNA Strand Displacement1:213,741
2016-06-22Design Expo 2015 - Pontifical Catholic University (Brazil)26:1153
2016-06-22Machine Learning Course - Lecture 161:00:17320
2016-06-22Machine Learning Course - Lecture 71:00:55423
2016-06-22Machine Learning Course - Lecture 1755:46426
2016-06-22Design Expo 2015 - Korea Advanced Institude of Science and Technology - KAIST (South Korea)16:20387Vlog
2016-06-22Design Expo 2015 - University of Washington (USA)24:57200
2016-06-22Oral Session: Less is More: Nyström Computational Regularization18:22733
2016-06-22Machine Learning Course - Lecture 1354:48455
2016-06-22Machine Learning Course - Lecture 557:04653
2016-06-22Design Expo 2015 - Carnegie Mellon University (USA)14:37120
2016-06-22Design Expo 2015 - Delft University of Technology (Netherlands)14:36143Vlog
2016-06-22Design Expo 2015 - New York University Shanghai (China)14:38108
2016-06-22Machine Learning Course - Lecture 1058:392,485
2016-06-22Design Expo 2015 - ArtCenter College of Design (USA)17:2181
2016-06-22Machine Learning Course - Lecture 141:01:57291
2016-06-22Symposium: Brains, Minds and Machines - Christof Koch37:271,162
2016-06-22NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 11:39:244,564
2016-06-22Machine Learning Course - Lecture 121:08:22631
2016-06-22Panel: Can Projects Coordinate?36:3116
2016-06-22Freehand 3D Computer Interaction Without Gloves5:5047
2016-06-22DNA Join circuit1:28139
2016-06-22IMS-Microsoft Research Workshop: Foundations of Data Science - Causal Reasoning and Learning Systems26:51207
2016-06-22Local Views and Global Conclusions1:18:1816
2016-06-22Posner Lecture: Probabilistic Machine Learning - Foundations and Frontiers56:07967
2016-06-22Machine Learning Course - Lecture 658:38440
2016-06-22Interactive and Interpretable Machine Learning Models for Human Machine Collaboration1:15:09446
2016-06-22Oral Session: Sampling from Probabilistic Submodular Models20:37297
2016-06-22Invited Talk: Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer57:01231
2016-06-22Torch Future Plans7:0739
2016-06-22Machine Learning Course - Lecture 358:071,873
2016-06-22Greedy Transition-Based Dependency Parsing with Stack-LSTMs1:03:26962
2016-06-22Invited Talk: Incremental Methods for Additive Cost Convex Optimization51:21381