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This blog introduces a paper “Toward Among-Device AI from On-Device AI with Stream Pipelines” [1], and briefly explains new functions to be released on Tizen 7.0 Machine Learning feature. NNStreamer is a Linux Foundation (LF AI & Data) open source project [2] accepting contributions of the general public: https://github.com/nnstreamer/nnstreamer
Announcement: NNStreamer Releases version 2.0 NNStreamer released its version 2.0 last October. It is a set of GStreamer plugins supporting easier and more efficient adoption of neural network models for GStreamer developers, adopting neural network models and neural network developers managing neural network pipelines and their filters.
Established in 2012 with the joint participation of Intel and Samsung, Tizen is a Linux-based open-source device software platform run by the Linux Foundation.
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NNStreamer: Efficient and Agile Development of On-Device AI Systems
AuthorMyungJoo Ham, Jijoong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee
PublishedInternational Conference on Software Engineering (ICSE)
Date2021-05-27
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The Linux foundation AI Project (LF AI), an organization created to establish an ecosystem for open-source innovation in the fields of artificial intelligence (AI), machine learning and deep learning, recently announced NNStreamer as its latest Incubation Project.
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