mlsanityData to 7 Oct 2026

Platform for Situated Intelligence

arXiv 2103.15975 ↗First posted 29 Mar 2021cs.AIcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 11 of its 44 references that are in the map. First posted on arXiv 29 Mar 2021.

Builds on

11 of 44 references.

References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  3. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,471
  4. 2019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelcited by 1,327
  5. 2018Learning Dexterous In-Hand Manipulationcited by 643
  6. 2019MediaPipe: A Framework for Building Perception Pipelinescited by 572
  7. 2019Fixing the train-test resolution discrepancycited by 209
  8. 2018The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approachescited by 74
  9. 2017The Microsoft 2017 Conversational Speech Recognition Systemcited by 51
  10. 2017English Conversational Telephone Speech Recognition by Humans and Machinescited by 40
  11. 2016On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systemscited by 18

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Cited by year

Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 5; 2025: 1.

9 papers.