Microsoft Research

Microsoft Research

Views:
48,650,642
Subscribers:
349,000
Videos:
9,400
Duration:
297:18:41:14

Microsoft Research is a YouTube channel which has at least 349 thousand subscribers, with his content totaling at least 48.65 million views views across around 9.4 thousand videos.

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





All Videos by Microsoft Research



PublishedVideo TitleDurationViewsCategoryGame
2016-09-07Alone Together: Why We Expect More from Technology and Less from Each Other50:381,002
2016-09-07Zero History52:04205
2016-09-07Keys to Good Cooking: A Guide to Making the Best of Foods and Recipes49:4062Guide
2016-09-07Imagination First: Unlocking the Power of Possibility1:08:49468
2016-09-07Mariposa: A Quantico Novel58:2236
2016-09-07The Amazing Story of Quantum Mechanics1:17:544,395
2016-09-07Being Wrong: Adventures in the Margin of Error56:2671
2016-09-07Self Comes to Mind: Constructing the Conscious Brain53:5521,623
2016-09-07Getting Ideas Adopted1:02:4647
2016-09-07Behind the Code59:30177
2016-09-07Carrots and Sticks: Unlock the Power of Incentives to Get Things Done1:01:48437
2016-09-07Total Recall: How the E-Memory Revolution will Change Everything1:21:14135
2016-09-0727 Powers of Persuasion: Simple Strategies to Seduce Audiences and Win Allies48:542,598
2016-09-07Cognitive Surplus: Creativity and Generosity in a Connected Age1:12:53100
2016-09-07Incentives for Experimenting Agents1:29:0156
2016-09-07The House Advantage: Playing the Odds to Win Big in Business57:291,101
2016-09-07Chief Culture Officer: How To Create a Living, Breathing Corporation1:11:05856
2016-09-07Robust Mechanism Design1:30:07462
2016-09-07Emotion Technology: From Autism to Customer Experience and Decision Making1:33:52149Vlog
2016-09-07School of One1:25:10495
2016-09-07Logicomix1:05:411,317Vlog
2016-09-07Lessons Learned from the World of LOLCats, FAILS and Other Blunders52:1117
2016-09-07Localized Optimization: Exploiting non-orthogonality to efficiently minimize the Kohn-Sham Energy57:3266
2016-09-07Jinx: Making Uncommon Concurrency Errors Commonplace in Shared Memory Programs54:4334
2016-09-07What's my teammate going to do? Reasoning about probable plans for successful teamwork1:07:1554
2016-09-07Beyond Trees: MRF Inference via Outer-Planar Decomposition49:16161
2016-09-07Situational Impairments and Mobile Microinteractions1:19:2950
2016-09-07Some Tutorial Notes on Dimension Reduction41:16754
2016-09-07Demystifying Workflow in an Urban Emergency Department1:23:12117
2016-09-07Natural Language Processing From Scratch1:04:053,855
2016-09-07First cryptanalysis of the full AES1:04:262,033
2016-09-07How Irrational Thinking Hinders Scientific Progress, Harms the Planet, and Threatens our Lives45:4549
2016-09-07Semi-supervised Learning in Gigantic Image Collections56:08523
2016-09-07Blackbox Polynomial Identity Testing for Depth 3 Circuits1:05:21254
2016-09-07Googled: The End of the World as We Know It58:56165
2016-09-07Can Complexity Theory Ratify the Invisible [1/19]1:32:5227
2016-09-07Formal proof producing decision procedures56:1490
2016-09-07Key Recovery Attacks of Practical Complexity on AES Variants With Up To 10 Rounds1:11:291,954
2016-09-07Learn an object recognition system with millions of parameters from a small number of training sets1:15:34768
2016-09-07Grace: Safe Multithreaded Programming for C/C++54:452,261
2016-09-07Image retrieval using short binary codes58:18792
2016-09-07Algorithms for boundary labeling55:2259
2016-09-07New Directions in Accessible Computing1:11:5451
2016-09-07General Principles of Constraint Programming1:03:323,031
2016-09-07Execution of memory-bound workloads on GPUs via software managed cache1:06:10192
2016-09-07ExPert: Pareto-Efficient Replicated Task EXecution1:00:5721
2016-09-07Engineering the Software for Understanding Climate Change1:21:331,121
2016-09-07Towards a Science of the Web1:18:152
2016-09-07Symbolic Counter Abstraction for Concurrent Software1:26:0078
2016-09-07Artificial Companions as dialogue agents1:01:3143Vlog
2016-09-07Disciplined Message Passing1:04:3776
2016-09-07The Recognition of Engagement in Human-Robot Dialogs1:16:4939Vlog
2016-09-07Of Scripts and Programs: Tall tales, Urban Legends, and Future Prospects1:16:3022
2016-09-07Who 'Dat? Identity resolution in large email collections1:11:4731
2016-09-07Designing for Urban Green Space1:11:56234
2016-09-07Rethink: A Business Manifesto for Cutting Costs and Boosting Innovation59:3960
2016-09-07Music Understanding: Research and Applications1:25:5142
2016-09-07A New Era of Resource Responsibility for Sensor Networks59:2628
2016-09-07A Dynamic Bayesian Network Click Model for Web Search Ranking1:02:492,399
2016-09-07Improved Approximation Algorithms for Prize-Collecting Steiner Tree and TSP55:471,403
2016-09-07The Elements: A Visual Exploration of Every Known Atom in the Universe48:531,447
2016-09-07eScience 2009 Tutorial: Trident - A Scientific Workbench2:31:356
2016-09-07The Microsoft Biology Initiative: An Open Source Framework and Toolset for Bioinformatics Research2:20:44202Vlog
2016-09-07Keynote - From Flops to Petabytes: the Expanding Role of Data in NSF Cyberinfrastructure38:4621
2016-09-072009 eScience: How optimized Environmental Sensing Helps Address Information Overload on the Web32:490
2016-09-072009 eScience: Beyond Sensors: Curating Ancillary Data for Carbon-Climate Science34:294
2016-09-07The Fourth Paradigm - Realizing Jim GrayΓÇÖs Vision for Data-Intensive Scientific Discovery2:04:18299
2016-09-072009 eScience: Healthcare e-Labs: Opening and Integrating Models of Health33:2816
2016-09-072009 eScience: Extracting Natural Laws from Data: Invariants are better than predictive models32:0510
2016-09-07Incorporating Problem-based Learning in Medical Image Processing25:2928
2016-09-072009 eScience: Model-driven support for a vaccine study in Kathmandu36:008
2016-09-072009 eScience: SysMO-DB: Just enough exchange for systems biology data and models35:0929
2016-09-072009 eScience: Current Status of e-Health in Peru32:2121
2016-09-072009 eScience: Modelling Data-driven CO2 Sequestration Using Distributed HPC CyberInfrastructure24:3222
2016-09-072009 eScience: Opportunities for Integration of Multi-Model Data for the Water Sciences Community28:405
2016-09-072009 eScience: From Flops to (Peta)Bytes: the Expanding Role of Data in Scientific Analysis24:079
2016-09-07eScience 2009 Tutorial: Microsoft Cloud Computing Frameworks for Research2:28:1439
2016-09-072009 eScience: Keynote - Some Challenges in Natural Science1:12:048
2016-09-07A Web-Based System for Biomedical Image Storage, Annotation, Content-Based Retrieval and Exploration25:5786
2016-09-072009 eScience: A New Partnership for Cross-Scale, Cross-Domain eScience30:485
2016-09-072009 eScience: Cloud Computing for Planetary Defense37:3531
2016-09-07Eliminating Cycles in the Torus1:02:09111
2016-09-07Improvements in the determination of fundamental principles of RNA structure40:4354
2016-09-072009 eScience: Segmentation of Confocal Stacks and Synaptic Regions for the Connectome Project24:2018
2016-09-07Tools to Support e-Research-Microsoft Research and the Scholarly Information Ecosystem1:59:5720Guide
2016-09-072009 eScience: Data Integration for E-Science Using Correlated Concepts27:0212
2016-09-072009 eScience: eOcean - The Challenges Ahead and Below the Waves49:4110
2016-09-072009 eScience: Integrative Data Mining For Drug Discovery Using the Semantic Web26:2259
2016-09-072009 eScience: Cloud Workflow Service: Automatically Scaling Scientific Workflows on Demand31:5613
2016-09-072009 eScience: Lessons from myExperiment: Research Objects for Data Intensive Research41:3618
2016-09-07The oreChem Project: Integrating Chemistry Scholarship with the Semantic Web and Web 2.028:0416
2016-09-072009 eScience: Social and Semantic Computing to Support Citizen Science33:5916
2016-09-07Construction of a MODIS Scientific Data Reprojection & Reduction Pipeline in Windows Azure Platform31:5046
2016-09-072009 eScience: Tupelo: a Framework for E-Science Knowledge Spaces23:327
2016-09-072009 eScience: Navigating the Complex Web of Chemistry Using ChemSpider27:1314
2016-09-07Nurtureshock: New Thinking About Children52:252,817
2016-09-072009 eScience: Low Power Amdahl Blades for Data Intensive Computing32:5115
2016-09-07Navigating across multi-scale biological systems using cognitive modeling and systems approaches18:2042Vlog
2016-09-072009 eScience: Bayesian Network Modelling of the Factors Influencing the Development of Obesity20:5556
2016-09-072009 eScience: Using Multipartite Graphs for Recommendation and Discovery29:3796