The New Jim Code: Reimagining the Default Settings of Technology & Society
Recorded on August 18, 2021 Speaker: Dr. Ruha Benjamin, Professor of African American studies at Princeton University, founding director of the Ida B.
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A mechatronic shape display based on auxetic materials
Shape displays enable people to touch simulated surfaces. A common architecture of such devices uses a mechatronic pin-matrix.
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Dependable IoT- Making data from IoT devices dependable and trustworthy for good decision making
Episode 009 | June 15, 2021 The Internet of Things has been around for a few years now and many businesses and organizations depend on data from these systems to make critical decisions.
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Lookout System: National Television Commercial (1998)
The Lookout project was an early exploration of the promise of machine learning, mixed-initiative interaction, and multimodal interaction as a foundation for intelligent services.
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Create human-centered AI with the Human-AI eXperience (HAX) Toolkit webinar
The tech industry is being called upon to develop and deploy AI technologies more responsibly.
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Computing Technology as Racial Infrastructure: A History of the Present & Blueprint for Black Future
Recorded on July 28, 2021 Speaker: Dr.
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Urban Air Chicago
Microsoft Research has partnered with JCDecaux and Array of Things to deploy over 100 low-cost air pollution sensors across the city of Chicago to create the densest real-time air quality monitoring
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The Vanishing Indian Speaks Back: Race, Genomics, and Indigenous Rights
Recorded on June 30, 2021 Speaker: Dr.
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Recent Advances in Image Captioning, Image-Text Retrieval and…
𝗧𝗶𝘁𝗹𝗲: Recent Advances in Image Captioning, Image-Text Retrieval and Visual Question Answering using Scene Graph Parsing, What Next?
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Directions in ML: Structured Models for Automated Machine Learning
Speaker: Professor Madeleine Udell, Cornell University Date: June 29, 2021 Automated machine learning (AutoML) seeks algorithmic methods for finding the best machine learning pipeline and
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Introducing Retiarii: A deep learning exploratory-training framework on NNI
Traditional deep learning frameworks such as TensorFlow and PyTorch support training on a single deep neural network (DNN) model, which involves computing the weights iteratively for the DNN model.
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Tackling the unknowns: leverage computing in biomedical sciences and public health
The advancement of biomedical sciences and public health research, while greatly lifting human wellness, brought in new open questions along with an immense amount of biological data.
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Computational Ecology & Environmentology in Microsoft Research Asia
In this talk, we will first introduce the MSRA fellowship program, then share the new progress of sustainability in Microsoft.
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Microsoft Soundscape: Heads-up and hands-free experiences for everyone
Microsoft Soundscape uses 3D spatial audio to help people understand their surroundings.
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SMPL in Mixed Reality at Microsoft
The Mixed Reality team at Microsoft uses the SMPL body model for projects in remote virtual presence and human understanding.
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Subnanosecond Clock & Data Recovery for Optically Switched Data Centres
Systems 19 May 2021 Speaker: Kari Clark, UCL (collaboration with Polina Bayvel, UCL and Hitesh Ballani, Microsoft) This virtual event brought together the PhD students and postdocs working on
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Synthetic Data with Digital Humans
Join Erroll Wood and Tadas Baltrusaitis from Microsoft’s Mixed Reality & AI Lab in Cambridge, UK, for a talk on how synthetics drives work on understanding human faces and hands, including how it
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Video tutorial demonstrating SOLOIST: building task bots at scale
In this video tutorial, researchers demonstrate how pretrain grounded text generated (GTG) model can be finetuned and adapted to a specific task using conversation learner, a pretraining, finetuning
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Ultrafast Optical Circuit Switching for Data Centers Using Integrated Soliton Microcombs
Systems 19 May 2021 Speaker: Arslan Raja, EPFL (collaboration with Tobias Kippenberg, EPFL and Hitesh Ballani, Microsoft) This virtual event brought together the PhD students and postdocs
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Cloud Confidential Computing | JRC Workshop 2021
Systems 19 May 2021 Speaker: Cédric Fournet, Microsoft This virtual event brought together the PhD students and postdocs working on collaborative research engagements with Microsoft via the Swiss
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EverCrypt: New Features and Deployments with Election Guard | JRC Workshop 2021
Systems 19 May 2021 Speaker: Jonathan Protzenko, Microsoft This virtual event brought together the PhD students and postdocs working on collaborative research engagements with Microsoft via the
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SIGCHI Lifetime Research Award Talk: Interdisciplinary Perspectives on Search (CHI 2020)
CHI '21: The 2021 ACM CHI Conference on Human Factors in Computing Systems Session: Awards: SIGCHI 2020 Award Talks Speaker: Susan Dumais I have long been interested in how people seek information
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Perspective on AI Research: Human-centered AI and Robustness | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: Emre Kiciman, Microsoft This virtual event brought together the PhD students and postdocs working on collaborative research engagements with
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Grounding Spatio-temporal Language with Transformers | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: Laetitia Teodorescu, INRIA (collaboration with Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer, INRIA and Katja Hofmann, Microsoft) This
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Probabilistic DAG Search | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: Julia Grosse, University of Tübingen (collaboration with Philipp Hennig, University of Tübingen and Cheng Zhang, Microsoft) This virtual event
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Monitoring, Modelling, & Modifying Dietary Habits and Nutrition Based on Large-Scale Digital Traces
Artificial Intelligence (AI) 20 May 2021 Speaker: Kristina Gligoric, EPFL (collaboration with Robert West, EPFL, Arnaud Chiolero, University of Fribourg and Eric Horvitz, Emre Kiciman, Ryen White
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Teacher Algorithms for Deep Reinforcement Learning Students | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: Rémy Portelas, INRIA (collaboration with Pierre-Yves Oudeyer, INRIA and Katja Hofmann, Microsoft) This virtual event brought together the PhD
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Statistical Preconditioning for Distributed Optimization | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: Hadrien Hendrikx, INRIA (collaboration with Francis Bach, Laurent Massoulié, INRIA and Sébastien Bubeck, Microsoft) This virtual event brought
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Information Directed Reward Learning for Reinforcement Learning | JRC Workshop 2021
Artificial Intelligence (AI) 20 May 2021 Speaker: David Lindner, ETH Zurich (collaboration with Andreas Krause, ETH Zurich and Katja Hofmann, Microsoft) This virtual event brought together the PhD
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