Indoor Location Competition 2.0 Dataset
Microsoft sponsored and co-organized Indoor Location Competition 2.0 in 2021. 1446 contestants from more than 60 countries making up 1170 teams participated in this unique global event. In this competition, a first-of-its-kind large-scale indoor location…
New Future of Work: How remote and hybrid work will shape workplaces and society with Jaime Teevan and Siddharth Suri
In this episode of The New Future of Work series, Chief Scientist Jaime Teevan and Senior Principal Researcher Siddharth Suri explore the many ways people were impacted by work shifts during the COVID-19 pandemic. They talk about how race, gender, income,…
Visual question answering and reasoning over vision and language: Beyond the limits of statistical learning?
Advances in deep learning keep producing impressive results at the junction of computer vision and natural language processing. The task of visual question answering (VQA), once considered incredibly ambitious, is now commonly used to benchmark…
Focal Transformer
This is a codebase for our recently released paper “Focal Self-attention for Local-Global Interactions in Vision Transformers”. It developed a new sparse self-attention mechanism called focal self-attention towards more effective and efficient vision transformers. The…
Document AI (Intelligent Document Processing)
Document AI (opens in new tab), or Document Intelligence, is a new research topic that refers to techniques for automatically reading, understanding, and analyzing business documents. Understanding business documents is an incredibly challenging task due…
Project Z-Code
Project Z-Code, a part of Azure AI Cognitive Services, is working within Project Turing to evolve Microsoft products with the adoption of deep learning pre-trained models.