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Samsung developer won the “Best ROS Developer” in ROS AWARDS 2020. Samsung developer wins “Best ROS Developer” in ROS AWARDS 2020.ROS community 'The construct' has revealed the results of the ROS AWARDS 2020 for ROS & Robotics developers.The ROS Awards are held annually and include ROS developers, scholars, and enthusiasts all over the globe. These awards aim to recognize contributions to the ROS community and to the development of the ROS-based robot industry, as well as intends to spread awareness about ROS. This year’s winners were announced on the ROS Developers Day held virtually last June 27, 2020.There are four awards categories: The best ROS package, The Best ROS Robot, The Best ROS Developer, The Best ROS Product.Samsung developer Steven Macenski won the Best ROS developer.* refer to https://www.theconstructsim.com/ros-awards-2020/ June 30, 2020
[Samsung Open Source Companions 1기] 최종 합격자 발표 [Samsung Open Source Companions 1기]에 지원해주신 모든 지원자 여러분께 진심으로 감사드립니다.- 최종 합격자 명단- 김*민김*영박*원서*주유*호유*지정*주최*엽최*원현*원 June 29, 2020
[Samsung Open Source Companions 1기 모집] 2차 심사 대상자 발표 [Samsung Open Source Companions 1기]에 지원해주신 모든 지원자 여러분께 진심으로 감사드립니다.- 2차 심사 대상자 - 고*나김*민김*영류*훈박*원서*주유*호유*지윤*진정*주최*엽최*서최*원현*원추후 일정은 공지된 선발과정을 참조하여 주십시오. June 15, 2020
LF Networking Whitepaper This whitepaper, prepared by a Working Group of the LFN Technical Advisory Council (TAC), is intended for anyone who is interested in the intersection of modern network design and the open source networking project landscape. System architects, developers, product and project managers, network operators, system integrators, and more should all find useful information here that will help better understand the state-of-the-art in networking technology and determine how the LF Networking (LFN) projects from the Linux Foundation may be used as building blocks for modern networks.This document does not intend to prescribe the “right” solution for building a network. There is more than one way of doing that and it all depends on the network designer’s preferences and available resources. Instead, we try to introduce the capabilities of each LFN project and suggest potential ways they can be used in harmony. One of the goals of this whitepaper is to solicit engagement from potential users and contributors to the LFN projects. You are strongly encouraged to share your insights and thoughts with the LFN community on this document as well as on any of the projects themselves. Email any questions or comments to lfn-info@linuxfoundation.org.* Original Post and paper download at here : https://www.lfnetworking.org/resources/2020/04/28/lf-networking-whitepaper/ May 19, 2020
NNStreamer Joins LF AI as New Incubation Project The LF AI Foundation (LF AI), the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), today is announcing NNStreamer as its latest Incubation Project. NNStreamer is a set of Gstreamer plugins that support ease and efficiency for Gstreamer developers adopting neural network models and neural network developers managing neural network pipelines and their filters. NNStreaner was released and open sourced by Samsung.“We are very pleased to welcome NNStreamer to LF AI. Machine Learning applications often process online stream input data in real-time, which can create a complex system. NNStreamer can be used to easily represent and efficiently execute against these challenges,” said Dr. Ibrahim Haddad, Executive Director of LF AI. “We look forward to supporting this project and helping it to thrive under a neutral, vendor-free, and open governance.” LF AI supports projects via a wide range of benefits; and the first step is joining as an Incubation Project. Full details on why you should host your open source project with LF AI are available here.NNStreamer promotes easier and more efficient development of on-device AI systems by allowing the description of general systems with various input, outputs, processors, and neural networks with the pipe-and-filter architecture. It provides easy-to-use APIs with corresponding SDKs as well: C-APIs (all platforms), Tizen.NET (C#), and Android (Java) along with a wide range of neural network frameworks and software platforms (Ubuntu, macOS, OpenEmbedded). NNStreamer became an open source project in 2018 and is under active development with the Tizen project and a wide range of consumer electronics devices. Learn more about NNStreamer via their GitHub. You can also check out the NNStreamer 2018 GStreamer Conference presentation recording here, as well as their presentation at the Samsung Developer Conference in 2019 here. And be sure to join the NNStreamer-Announce and NNStreamer-Technical-Discuss mail lists to join the community and stay connected on the latest updates. A warm welcome to NNStreamer and we look forward to the project’s continued growth and success as part of the LF AI Foundation. To learn about how to host an open source project with us, visit the LF AI website.NNStreamer Key LinksGithubMail ListsNNStreamer-AnnounceNNStreamer-Technical-DiscussNNStreamer-TSCWikiArtworkLF AI ResourcesLearn about membership opportunitiesExplore the interactive landscapeCheck out our technical projects Join us at upcoming eventsRead the latest announcements on the blogSubscribe to the mailing listsFollow us on Twitter or LinkedInAccess other resources on LF AI’s GitHub or Wiki* Original Post : https://lfai.foundation/blog/2020/04/16/nnstreamer-joins-lf-ai-as-new-incubation-project/ April 20, 2020
Release Notes for Baobab (LF Edge) Release Notes for Baobab - Home Edge - LF Edge Confluence SummaryThis document provides the release notes for Home Edge Baobab ReleaseRelease Date2019-10-28Release ContentFor Baobab Release , the following green color components will be released.The main features that are supported are : Edge Device/App Discovery. Device Resource MonitoringEdge App Remote ExecutionSupport Android (*.aar)Secure Messaging TLS between the devices running Edge OrchestrationGitHub codeCode is available in the https://github.com/lf-edge/edge-home-orchestration-go/tree/Baobab* Original Post : https://wiki.lfedge.org/display/HOME/Release+Notes+for+Baobab March 26, 2020
LF Edge in 2020: Looking back and Revving forward By LF Edge January 21, 2020 No CommentsWritten by Melissa Evers-Hood, LF Edge Governing Board Chair Dear Community,Happy New Year! As we kick off 2020, I wanted to send a note of thanks and recognition to each of you for a wonderful 2019, which marked several meaningful accomplishments for this organization. LF Edge was launched in Jan 2019 with an aim to unify the edge communities across IOT, Telco, Enterprise and Cloud providing aligned open source edge frameworks for Infrastructure and Applications.Our accomplishments include:EdgeX Foundry has blossomed this year in participation, downloads, and use cases. EdgeX, as folks commonly call it, also graduated to Impact project stage and surpassed 1.5 million container downloads in 2019.Akraino, which also reached Impact stage this year, is preparing for it’s second release with 5 new blueprints for R2, with updates to 9 of the existing 10 R1 blueprints already released. Most notably, its broadening its blueprint profile to include new blueprints for Connected Vehicles and AR/VR, truly becoming a viable framework across edge applications.At the Growth Stage, Open Glossary provides common terminology and ecosystem mapping for the complex Edge environment. In 2019, the Glossary Project shipped 2.0 of the Glossary, which was integrated into the 2020 State of the Edge Report. The Glossary Project began the process of helping to standardize terminology across all LF Edge projects, and also launched the LF Edge Landscape Project: https://landscape.lfedge.org/.Also at the Growth Stage, Project Eve allows cloud-native development practices in IOT and edge applications. EVE’s most recent release, 4.5.1 (which was gifted on December 25, 2019), provides a brand new initramfs based installer, ACRN tech preview, and ARM/HiKey support.The Home Edge project, targeted to enable a home edge computing framework, announced their Baobab release in November. The Home Edge Project has initiated cross-project collaboration with EdgeX Foundry (secure data storage) and Project EVE (containerized OS).We also added 2 additional projects this year. Baetyl which provides an open source edge computing platform.Fledge which is an open source framework and community for the industrial edge focused on critical operations, predictive maintenance, situational awareness and safety. Fledge has recently begun cross-project collaboration with Project EVE and Akraino, with more information available here.Our reach has broadened with 9k articles, almost 50k new users, and 6.7M social media impressions.I am excited about the work ahead in 2020, especially as we celebrate our one year anniversary this month. We laid the foundation last year – offered a solution to unite the various edge communities – and now, with your support and contributions, we’re ready to move to the next phase.LF Edge is co-hosting Open Networking & Edge Summit in April and our teams are working hard on several cross-project demos and solutions. We’re planning meetups and other F2F opportunities at the show, so this conference will be a must.Our focus as a community will be to continue to expand our developers and end users. We will do this through having agile communities, that collaborate openly, create secure, updateable, production ready code, and work together as one. We also expect that there will be new projects to join and integrate. As we walk into this bright future, working as a unified body will demonstrate that the fastest path to Edge products is through LF Edge.I look forward to working with each of you in ‘20 and seeing you in Los Angeles this April at ONES!Melissa* Original Post : https://www.lfedge.org/2020/01/21/lf-edge-in-2020-looking-back-and-revving-forward/ March 26, 2020

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