Our goal with this project was to create a conversational chatbot to streamline the determination of vaccine eligibility in the United States, aggregating policies across regions and policy updates over time.
Case study: Tech Against Trafficking
Only through the proper coordination of partners spanning the public and private sector, coupled with the mutual evolution of technology and policy, can the human effort to combat trafficking be most effective.
How can we help organizations to understand their capacity for resilience before it is needed, and how can we help them to increase that capacity before it is too late?
In the news | Microsoft Innovation Stories
Q&A: Peter Lee on the COVID-19 pandemic, societal resilience and crisis-response science
The COVID-19 pandemic has upended every aspect of society and, at the same time, the urgent need for a response has spurred collaboration, innovation and creativity. Microsoft has created a Resilience series to highlight some of the research projects, technologies…
Econ1: Using microeconomics to solve mass incarceration featuring Hunt Allcott and Evan Rose
In this episode, Dr. Hunt Allcott, Senior Principal Researcher at Microsoft Research New England, talks with Dr. Evan Rose, Postdoctoral Researcher, whom Allcott describes as “one of the most engaging and talented researchers in applied microeconomics today.” They’ll discuss how…
Beacon on the Banksy
On Monday, 1 March, word started to spread around Reading, UK, that a piece of graffiti by the anonymous street artist, “Banksy”, had appeared overnight. I found out that the artwork was located somewhere on the wall of the old…
We recently completed a body of research to understand extreme usage among enterprise technology users. Using multiple techniques and studies, we wanted to delve into the experience of very heavy, or high intensity users, to understand not just how humans experience the technology, but also to learn how specific or universal are the pain points they experience.
Microsoft and NVIDIA introduce parameter-efficient multimodal transformers for video representation learning
| Yale Song
Understanding video is one of the most challenging problems in AI, and an important underlying requirement is learning multimodal representations that capture information about objects, actions, sounds, and their long-range statistical dependencies from audio-visual signals. Recently, transformers have been successful in…
In the news | Development Seed Blog
Introducing PEARL — AI Accelerated Land Cover Mapping Platform
Development Seed and Microsoft AI for Earth are launching PEARL, an AI-accelerated platform for fast land cover mapping, for experimental use. PEARL represents a new approach to combining human intelligence and scalable AI for fast, accurate land cover mapping. It…