Microsoft Research

×
329 тыс
подписчики
50.3 млн
просмотры
9 253
видео
24 Окт 2008
создан
08.02.22 6:11
Research talk: Can causal learning improve the privacy of ML models?
Speaker: Shruti Tople, Senior Researcher, Microsoft Research Cambridge Ensuring privacy of data used to train machine learning models is important for safe and responsible deployment of these models.
287
08.02.22 5:52
Research talk: Causal ML and business
Speaker: Jacob LaRiviere, Economist, Microsoft Research Redmond Using machine learning for causal inference can, in a subset of cases with rich data, replicate results from A/B experimentation.
1 091
13.1
08.02.22 30:57
Research talk: Challenges and opportunities in causal machine learning
Speakers: Amit Sharma, Senior Researcher, Microsoft Research India Cheng Zhang, Principal Researcher, Microsoft Research Cambridge Emre Kiciman, Senior Principal Researcher, Microsoft Research
3 749
10.8
08.02.22 3:32
Opening remarks: Causal Machine Learning
Speaker: Cheng Zhang, Principal Researcher, Microsoft Research Cambridge Causal machine learning is an increasingly important, but not well understood, technology.
1 202
26.4
08.02.22 2:07
Closing remarks: The Future of Privacy and Security
Speaker: Robert Sim, Principal Research Manager, Microsoft Research Redmond Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
75
08.02.22 18:28
Demo: Generating formally proven low-level parsers with EverParse
Speaker: Aseem Rastogi, Principal Researcher, Microsoft Research India DARPA and MITRE estimate that 80 percent of software security vulnerabilities have incorrect input validation as their root
98
08.02.22 28:51
Demo: EverParse: Automatic generation of formally verified secure parsers for cloud integrity
Speaker: Tahina Ramananandro, Principal Research Software Development Engineer, Microsoft Research Redmond DARPA and MITRE estimate that 80 percent of software security vulnerabilities have
89
08.02.22 31:11
Research talk: DARPA SafeDocs: an approach to secure parsing and information interchange formats
Speaker: Sergey Bratus, Program Manager, DARPA DARPA and MITRE estimate that 80 percent of software security vulnerabilities have incorrect input validation as their root cause.
184
08.02.22 34:15
Research talk: Privacy in machine learning research at Microsoft
Speaker: Melissa Chase, Principal Researcher, Microsoft Research Redmond Training modern machine learning models requires large amounts of data, and often that data may be private or confidential.
163
08.02.22 30:26
Research talk: Towards bridging between legal and technical approaches to data protection
Speaker: Kobbi Nissim, Professor, Georgetown University As computer systems become integrated into almost every aspect of society and are increasingly making decisions of legal significance, the
57
08.02.22 28:44
Research talk: Building towards a responsible data economy
Speaker: Dawn Song, Professor, UC Berkeley Data is a key driver of the modern economy and AI/machine learning.
421
9
08.02.22 22:13
Keynote: Unlocking exabytes of training data through privacy preserving machine learning
Speaker: Jim Kleewein, Technical Fellow, Microsoft Data is the lifeblood of AI and machine learning. The better the model, and the better the data that model is trained on, the better the outcome.
146
08.02.22 3:02
Closing remarks: Responsible AI
Speaker: Ece Kamar, Partner Research Manager, Microsoft Research Redmond As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably.
200
08.02.22 5:20
Opening remarks: The Future of Privacy and Security
Speaker: Robert Sim, Principal Research Manager, Microsoft Research Redmond Security and privacy are key components to building trust in the technologies that we use, whether that be for
194
08.02.22 39:39
Tutorial: Create human-centered AI with the Human-AI eXperience (HAX) Toolkit
Speakers: Saleema Amershi, Senior Principal Research Manager, Microsoft Research Mihaela Vorvoreanu, Director, Aether UX Research & RAI Education There’s been a push to build AI technologies that
513
16.7
08.02.22 44:40
Panel: Maximizing benefits and minimizing harms with language technologies
Speakers: Hal Daumé III, Sr Principal Researcher, Microsoft Research NYC Steven Bird, Professor, Charles Darwin University Su Lin Blodgett, Postdoctoral Researcher, Microsoft Research Montréal
130
08.02.22 21:09
Lightning talks: Advances in fairness in AI: New directions
Over the past few years, we’ve seen that artificial intelligence (AI) and machine learning (ML) provide us with new opportunities, but they also raise new challenges.
180
08.02.22 3:15
Closing remarks: Tech for resilient communities
Speaker: Mary Gray, Senior Principal Researcher, Microsoft Research New England Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
36
08.02.22 20:46
Lightning talks: Advances in fairness in AI: From research to practice
Over the past few years, we’ve seen that artificial intelligence (AI) and machine learning (ML) provide us with new opportunities, but they also raise new challenges.
121
08.02.22 41:00
Panel: Content moderation beyond the ban: Reducing toxic, misleading, and low-quality content
Speakers: Tarleton Gillespie, Senior Principal Researcher, Microsoft Research New England Zoe Darmé, Senior Manager, Google Ryan Calo, Lane Powell and D.
438
20.5
08.02.22 24:30
Technology demo: Using technology to combat human trafficking
Speaker: Darren Edge, Director of Societal Resilience, Microsoft Research Cambridge Microsoft is a founding member of Tech Against Trafficking (TAT) – a coalition of organizations working to combat
254
08.02.22 19:48
Technology demo: Project Eclipse: Hyperlocal air quality monitoring for cities
Speaker: Scott Counts, Sr. Principal Research Manager, Microsoft Research Redmond Project Eclipse is a full-stack solution for neighborhood scale air quality monitoring in cities.
142
08.02.22 19:57
Research talk: Bucket of me: Using few-shot learning to realize teachable AI systems
Speaker: Daniela Massiceti, Senior Researcher, Microsoft Research We’re entering a technological era that is all about “me”—from personalized shopping recommendations to avatars, and even bespoke
262
08.02.22 30:05
Tutorial: Best practices for prioritizing fairness in AI systems
Speakers: Amit Deshpande, Senior Researcher, Microsoft Research India Amit Sharma, Senior Researcher, Microsoft Research India As artificial intelligence (AI) continues to transform people’s
235
08.02.22 20:10
Demo: RAI Toolbox: An open-source framework for building responsible AI
Speakers: Besmira Nushi, Principal Researcher, Microsoft Research Mehrnoosh Sameki, Senior Program Manager, Microsoft Azure Machine Learning Amit Sharma, Senior Researcher, Microsoft Research
1 368
34.7
08.02.22 3:08
Opening remarks: Responsible AI
Speaker: Hanna Wallach, Partner Research Manager, Microsoft Research NYC As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably.
144
08.02.22 6:23
Closing remarks: Deep Learning and Large Scale AI
Speaker: Jianfeng Gao, Distinguished Scientist & Vice President, Microsoft Research Redmond AI has undergone a transformation in recent years with the emergence of large-scale models and deep
221
08.02.22 10:57
Roundtable discussion: Beyond language models: Knowledge, multiple modalities, and more
Speakers: Yonatan Bisk, Assistant Professor, Carnegie Mellon University Daniel McDuff, Principal Researcher, Microsoft Research Redmond Dragomir Radev, A.
94
08.02.22 42:50
Just Tech: Bringing CS, the social sciences, and communities together for societal resilience
Moderator: Mary Gray, Senior Principal Researcher, Microsoft Research New England Speakers: Andrew Herrera, Executive Director, Curamericas Global Dr.
74
9 275 видеоназад12далее
жизньигрыфильмывесельеавтотехномузыкаспортедаденьгистройкаохотаогородзнанияздоровьекреативдетское