{"id":726709,"date":"2021-02-23T08:25:26","date_gmt":"2021-02-23T16:25:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=726709"},"modified":"2025-08-06T11:51:52","modified_gmt":"2025-08-06T18:51:52","slug":"psi-workshop","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/psi-workshop\/","title":{"rendered":"Platform for Situated Intelligence Workshop"},"content":{"rendered":"\n\n

Time zone:<\/strong> Pacific Time (UTC -08:00)<\/p>\n

Hosted by the Platform for Situated Intelligence<\/a> team.Opens in a new tab<\/span><\/p>\n

The Platform for Situated Intelligence Workshop took place on April 27-28, 2021.<\/p>\n

Platform for Situated Intelligence (opens in new tab)<\/span><\/a> is an open-source framework (opens in new tab)<\/span><\/a> from Microsoft Research that significantly accelerates development and research on multimodal, integrative-AI applications. This framework makes it easier to build applications that process multimodal streaming data (audio, video, depth, etc.), combine multiple (AI) technologies, and operate in the open world in real-time.<\/p>\n

This two-day workshop included both high-level overviews and in-depth tutorials on various aspects of the framework, from the low-level infrastructure for working with multimodal, streaming data, to development and visualization tools, to the ecosystem of available components and integrations with third-party technologies such as ROS, Python, Microsoft Teams, Unity, etc. The first day of the workshop will focus on high-level overviews and community building, whereas the second day will focus more on tutorials on specific topics. See the agenda page (opens in new tab)<\/span><\/a> for more information on what was included in the schedule.<\/p>\n

Additional resources<\/h3>\n

For a quick, high-level overview of the Platform for Situated Intelligence framework, please see the video below, or this blog post (opens in new tab)<\/span><\/a>. A detailed technical description of the framework is available in this paper (opens in new tab)<\/span><\/a>. Additional resources are available on the project website (opens in new tab)<\/span><\/a> and GitHub repository (opens in new tab)<\/span><\/a>.<\/p>\n