Research talk: WebQA: Multihop and multimodal
Speaker: Yonatan Bisk, Assistant Professor, Carnegie Mellon University Web search is fundamentally multimodal and multihop.
216
Opening remarks: Tech for resilient communities
Speaker: Vi Hart, Director of Policy and Strategy, Microsoft Research Redmond This track will examine processes and techniques for developing technology in conjunction with community partners
203
Research talk: Towards Self-Learning End-to-end Dialog Systems
Speaker: Baolin Peng, Senior RSDE, Microsoft Research Redmond At present, deep neural networks have become prevalent for building AI systems for vision, language and multimodality.
105
Research talk: Focal Attention: Towards local-global interactions in vision transformers
Speaker: Jianwei Yang, Senior Researcher, Microsoft Research Redmond At present, deep neural networks have become prevalent for building AI systems for vision, language and multimodality.
485
13.1
Research talk: Knowledgeable pre-trained language models
Speaker: Zhiyuan Liu, Associate Professor, Tsinghua University Over the past years, large-scale pretrained models with billions of parameters have improved the state of the art in nearly every
569
14.3
Opening remarks: Deep Learning and Large-Scale AI
Speaker: Ahmed Awadallah, Senior Principal Research Manager, Microsoft Research Redmond AI has undergone a transformation in recent years with the emergence of large-scale models and deep learning.
200
Closing remarks: Cloud Intelligence/AIOps
Speaker: Jim Kleewein, Technical Fellow, Microsoft 365 Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
210
Research talk: Optimizing the cloud supply chain
Speaker: Konstantina Mellou, Senior Researcher, Microsoft Research Redmond The cloud supply chain includes multiple business-critical stages, such as procuring hardware from multiple suppliers
309
25.4
Research talk: Automating and Optimizing IT Operations Management with AI
Speaker: Rama Akkiraju, IBM Fellow, CTO AIOps, IBM The vision of self-aware, self-healing, and self-managing Information Technology (IT) systems has remained elusive till recently.
142
Research talk: An intelligent data-driven paradigm towards cloud reliability
Speaker: Michael Lyu, Professor, Chinese University of Hong Kong Cloud systems are perhaps the most complicated computing systems developed so far, yet our daily lives depend heavily on their
71
Talk: Multidimensional analysis of cloud-native software based on large-scale operation data
Speaker: Xin Peng, Professor and Deputy Dean, School of Computer Science, Fudan University, China Dynamic and static analysis of source code has been widely used in software development practices
78
Keynote: Cloud Intelligence: Infusing AI into cloud computing systems
Speaker: Dongmei Zhang, Distinguished Scientist, Microsoft Research Asia Cloud computing platforms have become part of the basic infrastructure of the world, bringing unprecedented opportunities of
266
Opening remarks: Cloud Intelligence/AIOps
Speaker: Marcus Fontoura, Technical Fellow, Microsoft Azure Cloud computing platforms have become part of the basic infrastructure of the world, bringing unprecedented opportunities of digital
466
30.7
Research talk: NUWA: Neural visual world creation with multimodal pretraining
Speakers: Lei Ji, Senior Researcher, Microsoft Research Asia Chenfei Wu, Senior Researcher, Microsoft Research Asia Over the past years, large-scale pretrained models with billions of parameters
1 567
8.4
Research talk: Large-scale, self-supervised pretraining: From language to vision
Speakers: Li Dong, Senior Researcher, Microsoft Research Furu Wei, Senior Principal Research Manager, Microsoft Research Asia Over the past years, large-scale pretrained models with billions of
486
19.9
Roundtable discussion: Efficient and adaptable large-scale AI
Speakers: Ahmed Awadallah, Senior Principal Research Manager, Microsoft Research Redmond Jianfeng Gao, Distinguished Scientist & Vice President, Microsoft Research Redmond Danqi Chen, Assistant
1 517
33.4
Research talk: Prompt tuning: What works and what's next
Speaker: Danqi Chen, Assistant Professor, Princeton University The AI landscape has been transformed by the advent of large-scale models like BERT, Turing, and, most recently, GPT-3.
18 326
16.1
Closing remarks: Research for Carbon Negative
Speaker: Karin Strauss, Senior Principal Research Manager, Microsoft Research Redmond Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
54
Research talks: Research partners on innovation for carbon neutralization
Research talks: Research partners on innovation for carbon neutralization 0:00 Session overview Speaker: Beibei Shi, Senior Research Program Manager, Microsoft Research Asia 3:52 Mimicking
60
Panel: Innovative solutions and frontier technology for carbon neutralization from different angles
Moderator: Tim Pan, Senior Outreach Director, Microsoft Research Asia Panelists: Peng Gong, Professor, University of Hong Kong Shuxiao Wang, Professor, Tsinghua University Tie-Yan Liu, Assistant
34
Research talk: Nexus between climate change and energy policy: Lessons from California
Speaker: Robert Weisenmiller, Research Affiliate, University of California at Berkeley and Former Chair, California Energy Commission Evidence of climate change is becoming clear.
37
Research talk: Sustainable energy for all and the role of innovation
Speaker: Damilola Ogunbiyi, CEO, Sustainable Energy for All Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
42
Research talk: When climate is everything, all systems must change
Speaker: Rachel Kyte, Dean, Fletcher School, Tufts University Curbing carbon pollution to halt warming at 1.5 degrees and adapt to climate impacts requires recalibrating our financial system to
27
Research talk: Getting to net zero safely
Speaker: Dame Julia Slingo, Former Met Office Chief Scientist, 2009-2016 Climate models are fundamental to understanding climate change and anticipating its risks.
33
Keynote: Building a net-zero future together
Speaker: Lucas Joppa, Chief Environmental Officer, Microsoft At Microsoft, we fully believe the world needs to create a net-zero carbon economy by the year 2050.
263
Opening Remarks: Research for Carbon Negative
Speaker: Karin Strauss, Senior Principal Research Manager, Microsoft Research Redmond This track explores the goal of reaching carbon negative from multiple perspectives.
67
Research talk: Computationally efficient large-scale AI
Speaker: Song Han, Assistant Professor, MIT Today’s AI is too big. Deep neural networks demand extraordinary levels of computation, and therefore power and carbon, for training and inference.
193
Research talk: Towards data-efficient machine learning with meta-learning
Speaker: Guoqing Zheng, Senior Researcher, Microsoft Research Redmond At Microsoft Research, we are approaching large-scale AI from many different perspectives, which include not only creating new
224
Research talk: Resource-efficient learning for large pretrained models
Speaker: Subho Mukherjee, Senior Researcher, Microsoft Research Redmond At Microsoft Research, we are approaching large-scale AI from many different perspectives, which include not only creating
88
Research talk: Transformer efficiency: From model compression to training acceleration
Speaker: Yu Cheng, Principal Researcher, Microsoft Research Redmond At Microsoft Research, we are approaching large-scale AI from many different perspectives, which include not only creating new
331
27.3