Platform for Situated Intelligence
Bohus, Dan, Andrist, Sean, Feniello, Ashley, Saw, Nick, Jalobeanu, Mihai, Sweeney, Patrick, Thompson, Anne Loomis, Horvitz, Eric
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Mar-29-2021
- Country:
- North America > United States
- Washington > King County > Redmond (0.04)
- Asia > Japan
- Honshū > Kansai > Hyogo Prefecture > Kobe (0.04)
- North America > United States
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- Overview (0.93)
- Research Report (0.64)
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- Information Technology (0.46)
- Technology:
- Information Technology
- Software > Programming Languages (1.00)
- Human Computer Interaction (1.00)
- Data Science (1.00)
- Sensing and Signal Processing > Image Processing (0.92)
- Artificial Intelligence
- Vision (1.00)
- Robots (1.00)
- Representation & Reasoning (1.00)
- Natural Language > Machine Translation (0.67)
- Speech > Speech Recognition (0.46)
- Machine Learning > Neural Networks
- Deep Learning (0.46)
- Information Technology