{"id":389792,"date":"2018-01-23T19:10:28","date_gmt":"2018-01-24T03:10:28","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=389792"},"modified":"2022-04-08T13:38:44","modified_gmt":"2022-04-08T20:38:44","slug":"platform-situated-intelligence","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/platform-situated-intelligence\/","title":{"rendered":"Platform for Situated Intelligence"},"content":{"rendered":"
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Platform for Situated Intelligence<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n

Platform for Situated Intelligence<\/u> (opens in new tab)<\/span><\/a> is an open-source framework that significantly accelerates development and research on multimodal, integrative-AI applications. The framework was designed to alleviate the engineering challenges that arise when developing systems and applications that process multimodal streaming sensor data (such as audio, video, depth, etc.) and need to leverage and coordinate a variety of component AI technologies. Examples include multimodal interactive systems such as social robots and embodied conversational agents, systems for ambient intelligence and smart spaces, applications based on small devices that work with streaming sensor data, etc.<\/p>\n\n\n\n

The framework is cross platform, built on .NET standard, and leverages the affordances of a modern, managed programming language, while addressing the needs of multimodal, integrative-AI applications. The framework provides:<\/p>\n\n\n\n