Panel: Perspectives on the new future of hybrid meetings
Hybrid meetings—meetings in which there is a mix of remote and in-person participants—aren’t a new phenomenon, but the impact of the COVID-19 pandemic has brought their opportunities and challenges to center stage. The Microsoft approach…
Opening remarks: Deep Learning and Large-Scale AI
AI has undergone a transformation in recent years with the emergence of large-scale models and deep learning. AI models continue to be able to achieve in areas like language and vision. Large AI models also…
Research talk: Approximate nearest neighbor search systems at scale
Building deep learning-based search and recommendation systems at internet scale requires a complete redesign of the search index. Key to this redesign is a fast, accurate, and cost-efficient indexing system for approximate nearest neighbor search.…
Research talk: Making deep reinforcement learning industrially applicable
Deep reinforcement learning has achieved remarkable success, especially in gaming and other applications whose environments are artificial or are associated with low exploration costs. However, for most critical industrial applications, interactions with the environments are…
Plenary: The Future of Research
Microsoft CTO Kevin Scott will be joined by CEO Satya Nadella and Max Welling, VP and Distinguished Scientist, to discuss the significance of Microsoft Research’s 30 years of contributions to the company, the biggest trends…
Practical tips for productivity & wellbeing: Focusing without getting exhausted
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit
Closing remarks: Cloud Intelligence/AIOps
Cloud computing platforms have become part of the basic infrastructure of the world, bringing unprecedented opportunities of digital transformation to business, society, and human life. The AIOps & Cloud Intelligence track brings together researchers from…
Roundtable discussion: Efficient and adaptable large-scale AI
The AI landscape has been transformed by the advent of large-scale models like BERT, Turing, and, most recently, GPT-3. Researchers have brought language models to new heights in terms of performance, propelling advancements in search,…
Panel: The future of human-AI collaboration
The increase in productivity resulting from artificial intelligence (AI) has been revolutionary, but there is a risk of developing AI systems incorrectly. We have spent considerable energy expanding the capabilities of intelligent systems and less…
Demo: User-centric graph for building intelligence and Meeting Insights
In this digital age, enterprise users use different entities to accomplish their tasks—conversations, emails, meetings, documents, and others. We envision the real power of intelligence for productivity will come when we link all the entities…