@techreport{bohus2021platform,
author = {Bohus, Dan and Andrist, Sean and Feniello, Ashley and Saw, Nick and Jalobeanu, Mihai and Sweeney, Pat and Thompson, Anne Loomis and Horvitz, Eric},
title = {Platform for Situated Intelligence},
institution = {Microsoft},
year = {2021},
month = {March},
abstract = {We introduce Platform for Situated Intelligence, an open-source framework created to support the rapid development and study of multimodal, integrative-AI systems. The framework provides infrastructure for sensing, fusing, and making inferences from temporal streams of data across different modalities, a set of tools that enable visualization and debugging, and an ecosystem of components that encapsulate a variety of perception and processing technologies. These assets jointly provide the means for rapidly constructing and refining multimodal, integrative-AI systems, while retaining the efficiency and performance characteristics required for deployment in open-world settings.},
url = {http://approjects.co.za/?big=en-us/research/publication/platform-for-situated-intelligence-3/},
number = {MSR-TR-2021-2},
}