Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Group
Azure Florence
Of the five senses, our vision system is the one humans rely on most, so it it no surprise that developing a computer system possessing the same visual intelligence is so challenging but also so…
Video
Microsoft Research AI Breakthroughs 2020: 20 minute research talks, Q&A panel, and event wrap-up
20 minute research talks, Q&A panel, and event wrap-up (1:22) Shamsi Iqbal: Micro-productivity: Redefining Productivity to Adapt to a Changing Landscape of Work (22:08) Alex Polozov: Neuro-Symbolic AI and Program Synthesis (45:57) Robert Sim: Privacy…
Tool
Multi-species Bioacoustic Classification
Multi-species bioacoustic classification using deep learning algorithms. With audio recordings collected from rainforests in Puerto Rico, we build a deep learning model that combines transfer learning and pseudo-labeling as a data augmentation technique to: 1)…
Project
Project Florence-VL
Microsoft Azure Florence-VL aims to develop state-of-the-art vision-language learning technologies to endow computers with an ability to effectively learn from multi-modality data.
Video
Microsoft Research AI Breakthroughs 2020: 20 minute research talks + Q&A panel
20 minute research talks + Q&A panel (0:59) Debadeepta Dey: Efficient Forward Neural Architecture Search (15:45) Subho Mukherjee: Resource-efficient Learning for Neural Language Understanding at Scale (32:50) Jina Suh: Population-Scale Study of Human Needs During…
Video
Fireside Chat with Johannes Gehrke during Microsoft Research AI Breakthroughs 2020
Fireside Chat with Johannes Gehrke, Technical Fellow & Managing Director, Research at Redmond.
Video
Fireside Chat with Susan Dumais during Microsoft Research AI Breakthroughs 2020
Fireside Chat with Susan Dumais, Technical Fellow & Managing Director, Microsoft Research New England, New York City and Montreal.
Microsoft Research Blog
Project InnerEye open-source deep learning toolkit: Democratizing medical imaging AI
For over a decade, the Project InnerEye team at Microsoft Research Cambridge has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is to assist clinicians…
Microsoft Research Blog
In search for future of cloud storage, researchers look to holographic storage solutions
Data storage has always been a key tenet of compute, and with the massive growth in cloud compute, the demand for cloud data storage has opened an avenue for both revisiting prior technologies and developing…
