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





Top 400 Most Liked Videos by Microsoft Research


Video TitleRatingCategoryGame
301.DreamWalker: Substituting Real-World Walking Experiences with a Virtual Reality147
302.Recent Advances in Unsupervised Image-to-Image Translation147
303.Speech Emotion Recognition with Convolutional Neural Networks147
304.Pushing the frontier of neural text to speech147
305.Panel Discussion: How to do good research and have a successful career in Research146Discussion
306.Importing 3rd Party Environments in Unreal Engine for AirSim146
307.Pitch Perfect: How to Say It Right the First Time, Every Time146Guide
308.Reward Machines: Structuring Reward Function Specifications and Reducing Sample Complexity...145
309.Real-time Single-channel Speech Enhancement with Recurrent Neural Networks145
310.Sensing Techniques for Tablet+Stylus Interaction145
311.Microsoft Azure Overview144
312.Project Florence144
313.The Future of Javascript144
314.Microsoft is Accelerating the Future of Aerial Autonomy144
315.Quantum Development Kit, Q#, and Katas144
316.Mesh Networking144
317.Deep Learning Demystified142
318.Sound Synthesis for Impact Sounds in Video Games142
319.At the Frontiers of Science: Exciting Advances in Protein Design141
320.Applied Sciences Group: Interactive Displays: Seeing Displays141Let's Play
321.AI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 2 | Session 2140
322.Fireside Chat with Susan Athey140
323.Getting Started with TextWorld139
324.Web 3.0, Linked Data, and the Semantic Web: What's this all about?139
325.Topological quantum computing with Majorana Fermions139Vlog
326.Research talk: AI for drug discovery139
327.Consumer Brain-Computer Interfaces: From Science Fiction to Reality138
328.The Laws of Programming with Concurrency136
329.Social and Emotional Artificial Intelligence135
330.PhD: How to present a poster at an international conference135
331.Phong Surface: Efficient 3D Model Fitting using Lifted Optimization135
332.Introduction to Speaker Recognition API - Microsoft Cognitive Services135
333.Programming Cells134
334.Deep Compression, DSD Training and EIE134
335.Get Started with Presentation Translator for PowerPoint134
336.Bill Buxton at TechFest 2013: Designing for Ubiquitous Computing134
337.Eric Horvitz on the New Era of Artificial Intelligence133
338.Applied Sciences Group: Mayhem133
339.Unlocking IoT Data for Research in Healthcare132
340.Research in Focus: New Research Opportunities in Data Analytics132
341.Inside look at the DARPA Subterranean Urban Circuit Challenge 2020131
342.Bringing Old Photos Back to Life131
343.Fireside Chat with Peter Norvig131
344.Metric Learning and Manifolds: Preserving the Intrinsic Geometry131
345.Foundations of Data Science130
346.Directions in ML: "Neural architecture search: Coming of age"130
347.Tutorial: High-Performance Hardware for Machine Learning130Tutorial
348.Analog Keyboard for Android Wear129Vlog
349.Body Part Recognition and the Development of Kinect128
350.Synthetic Data with Digital Humans128
351.SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores128Vlog
352.Tutorial: High-Performance Hardware for Machine Learning127Tutorial
353.Counterfactual Multi-Agent Policy Gradients127
354.The Emerging Theory of Algorithmic Fairness127
355.Microsoft Azure Storage: Blobs and Tables127
356.SurroundWeb: Spreading the Web to Multiple Screens127
357.ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed127
358.PhD: How to give a great research talk126Guide
359.The Medea Hypothesis: Is Life on Earth Ultimately Self Destructive?126
360.Working at Microsoft Research Cambridge126
361.Introducing Developer Velocity Lab to improve developers’ work and well-being125
362.Data-Driven Analysis of Indian Political Processes125
363.Fast Quantification of Uncertainty and Robustness with Variational Bayes125
364.The State of Techniques for Solving Large Imperfect-Information Games, Including Poker125Guide
365.Future Decoded Quantum Computing Keynote124
366.Machine Learning Work Shop - Bayesian Nonparametrics for Complex Dynamical Phenomena124
367.Automatic Speech Emotion Recognition Using Recurrent Neural Networks with Local Attention124
368.MSR Cambridge Lecture Series: Photonic-chip-based soliton microcombs123
369.MSR-IISc AI Seminar Series: Where on Earth is AI Headed? - Tom M. Mitchell123
370.Why I work at Microsoft Research Cambridge123
371.Tutorial: Deep Learning123Tutorial
372.PhD: Machine Learning for medical Image Analysis123
373.Real-Time Visual Localisation and Mapping with a Single Camera123
374.New Directions in Computer Science122
375.Directions in ML: Algorithmic foundations of neural architecture search122
376.Accelerating Stochastic Gradient Descent121
377.An Optimization-Based Theory of Mind for Human-Robot Interaction120
378.SMPL in Mixed Reality at Microsoft120
379.Lessons From the Fifty-Year Quest to Turn Programmers into Software Engineers120
380.Keyframe-based SLAM for hand-held Augmented Reality120
381.99DOTS: Using Mobile Phones to Ensure Complete Recovery from Tuberculosis120
382.Microsoft and University of Washington DNA Storage Research Project119
383.Microphone array signal processing: beyond the beamformer118
384.Future (Present?) of Machine Translation118
385.Enabling interaction between mixed reality and robots via cloud-based localization118
386.Holoportation: Virtual 3D Teleportation in Real-Time117
387.Oral Session: End-To-End Memory Networks117
388.Strong Eventual Consistency and Conflict-free Replicated Data Types116
389.Clustering and Facility Location Problems115
390.Microsoft Research Internships114
391.Microsoft Research India Overview113
392.Tea: A High-level Language and Runtime System for Automating Statistical Analysis [Python module]113
393.CNTK: Microsoft's Open-Source Deep-Learning Toolkit113
394.Tutorial: Introduction to Reinforcement Learning with Function Approximation112Tutorial
395.Join us for Research Forum on June 4111
396.Causal AI for Decision Making112
397.Kahawai: High-Quality Mobile Gaming Using GPU Offload112
398.Microsoft Image Composite Editor Demo112
399.From automatic differentiation to message passing111
400.Deep Learning of Representations111