The Linux Foundation and Open Source Community Members Launch LF Deep Learning to Drive Open Source Growth In AI



  • Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE come together to speed adoption of deep learning, artificial intelligence, and machine learning

    LOS ANGELES (Open Networking Summit), March 26, 2018The Linux Foundation today launched the LF Deep Learning Foundation, an umbrella organization that will support and sustain open source innovation in artificial intelligence, machine learning, and deep learning while striving to make these critical new technologies available to developers and data scientists everywhere.

    Founding members of LF Deep Learning include Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE. With LF Deep Learning, members are working to create a neutral space where makers and sustainers of tools and infrastructure can interact and harmonize their efforts and accelerate the broad adoption of deep learning technologies.

    “We are excited to offer a deep learning foundation that can drive long-term strategy and support for a host of projects in the AI, machine learning, and deep learning ecosystems,” said Jim Zemlin, executive director of The Linux Foundation. “With LF Deep Learning, we are launching the Acumos AI Project, a comprehensive platform for AI model discovery, development and sharing. In addition, we are pleased to announce that Baidu and Tencent each intend to contribute projects to LF Deep Learning. LF Deep Learning enables the open source community to support entire ecosystems of projects in these spaces, and we invite the open source community to join us in this effort.”

    As part of the LF Deep Learning launch, The Linux Foundation today announced the Acumos AI Project, a platform for the development, discovery, and sharing of AI models and AI workflows. Initial code for the Acumos AI Project has been contributed by AT&T and Tech Mahindra.

    The project strives to make the power of AI accessible to all by making it easy to create, share, discover, and apply machine learning, deep learning, and analytics models. The Linux Foundation will host the Acumos AI platform and the Acumos Marketplace moving forward with the goal of nurturing an active, large ecosystem around the project to sustain it over the long term. Code is available for download as of today.

    In addition to the Acumos AI Project, LF Deep Learning anticipates future project contributions from Baidu and Tencent, among others. Baidu’s EDL project enhances Kubernetes with the feature of elastic scheduling and uses PaddlePaddle’s fault-tolerable feature to significantly improve the overall utilization of Kubernetes clusters. Tencent’s Angel project, a high-performance distributed machine-learning platform jointly developed by Tencent and Peking University, is tuned for big data/models. It is capable of supporting over a billion parameters.

    Industry Support for LF Deep Learning

    Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE are founding members of the new foundation.

    “Amdocs is proud to be a founding member of Linux Foundation’s Deep Learning and the Acumos project as they signify a new AI frontier bringing intelligence and automation to the communications and media industry. AI is already transforming business models and delivering contextual customer engagements, creating new opportunities for service providers, content developers and other industry players to build the enterprise applications that will run our increasingly digital society. Amdocs has been investing in AI for years, with a particular focus in delivering personalized digital engagements, and by providing core systems of engagement that impact billions of consumers worldwide. As a result, we are well positioned to contribute valuable insights to this project–both from the traditional customer experience and network perspective, as well as from the entertainment and media perspective, enabled by our media division which works with over one thousand content creators and distributors world-wide. What makes Acumos so exciting is that the industry leaders will be bringing innovative data-driven insights and technology from global sources to empower experiences with cutting-edge AI-enabled capabilities.”

    — Anthony Goonetilleke, group president of Amdocs Technology

    “AT&T is honored to be a founding member of the LF Deep Learning Foundation. This organization will encourage collaboration and harmonization, paving the way for accelerated innovation and increased adoption of these new technologies.”

    — Mazin Gilbert, vice president of Advanced Technology at AT&T Labs

    “At B.Yond, we believe artificial intelligence (AI) is a central enabler of The Infinite Network and is required to deliver the low-touch network management needed to support emerging applications. We are excited to join the LF Deep Learning Foundation project and help drive innovation with the Acumos AI Project.”

    — Paul-Andre Raymond, senior vice president, Technology, B.Yond

    “Huawei is very pleased to be one of the initial Premier members of the LF Deep Learning Foundation. Deep Learning is key to enhance consumer experience and to help our customers implement digital transformation. Huawei continues to increase our open source investments and collaborate with the open source community to advance the application and the development of Deep Learning.”

    — Xiao Ran, vice president of strategy and industry development, Huawei

    “Baidu is very excited to join LFDL as a founding member to help the global collaboration in AI area. And we will contribute the EDL project to LF Deep Learning, which provides elastic job scheduling and fault tolerable features for Deep Learning.”

    — Zhongyi Tan, open source architect, Baidu

    “Nokia considers AI as a game-changer for our customers. We are already seeing breakthrough results from AI/ML in our networks and service offerings. Nokia is looking forward to supporting Acumos and influencing the platform’s evolving architecture.”

    — Henri Tervonen, CTO, Mobile Networks, Nokia

    “At Tech Mahindra, our people have been deeply invested in contribution to open source and building AI software. We are elated to be the founding member of LF Deep Learning and have taken a lead in contributing initial code to the Acumos AI Project. With the launch of Acumos, the vision to make AI accessible to a wider community of users across diverse industries and hence making it easy to implement AI applications are now a reality. The potent force of AI, data and cloud that the Acumos platform inherently acts upon will help realize the transformation journey that Tech Mahindra and its clients have embarked on.”

    — Manish Vyas, president, communications business & chief executive, network services, Tech Mahindra

    “We are excited to join as a founding member of LF Deep Learning and we look forward to helping drive collaboration and development in the broader AI, machine learning, and deep learning space. To further enable these efforts, we intend to contribute the Angel project to LF Deep Learning. The Angel project, jointly developed by Tencent and Peking University, is a high-performance distributed machine-learning platform. Tuned for big data/models, the Angel project is capable of supporting over a billion parameters.”

    — Yongsheng Liu, general manager of AI Department, Tencent

    “The LF Deep Learning Foundation comes at an integral moment when many of Univa’s customers, who manage workloads on many of the largest machine learning clusters in the world, are developing their strategies for deep learning. We’re excited to see these companies benefit from the technology, collaboration and support from this open source community, whether they are validating new pilot projects or applying deep learning in production across their organization.”

    — Gary Tyreman, president & CEO, Univa Corporation

    “As the world’s leading communications solutions provider, on the basis of the uSmartInsight platform, we provide a full range of big data, AI, potent algorithm, and end-to-end solutions to help telecom operators construct an intelligent network in the future.”

    — Wei Meng, open source planning director, ZTE

    The Linux Foundation expects LF Deep Learning to bring in a wide variety of projects, including tool kits, inferencing engines, and infrastructure deployment projects that leverage modern cloud native technologies to make deep learning accessible, scalable, and affordable to all. To get involved with LF Deep Learning, please visit https://www.linuxfoundation.org/deeplearning.

    About The Linux Foundation

    The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

    #

    The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

    The post The Linux Foundation and Open Source Community Members Launch LF Deep Learning to Drive Open Source Growth In AI appeared first on The Linux Foundation.

    https://www.linuxfoundation.org/press-release/the-linux-foundation-and-open-source-community-members-launch-lf-deep-learning-to-drive-open-source-growth-in-ai/





Tmux Commands

screen and tmux

A comparison of the features (or more-so just a table of notes for accessing some of those features) for GNU screen and BSD-licensed tmux.

The formatting here is simple enough to understand (I would hope). ^ means ctrl+, so ^x is ctrl+x. M- means meta (generally left-alt or escape)+, so M-x is left-alt+x

It should be noted that this is no where near a full feature-set of either group. This - being a cheat-sheet - is just to point out the most very basic features to get you on the road.

Trust the developers and manpage writers more than me. This document is originally from 2009 when tmux was still new - since then both of these programs have had many updates and features added (not all of which have been dutifully noted here).

Action tmux screen
start a new session tmux OR
tmux new OR
tmux new-session
screen
re-attach a detached session tmux attach OR
tmux attach-session
screen-r
re-attach an attached session (detaching it from elsewhere) tmux attach -d OR
tmux attach-session -d
screen -dr
re-attach an attached session (keeping it attached elsewhere) tmux attach OR
tmux attach-session
screen -x
detach from currently attached session ^b d OR
^b :detach
^a ^d OR
^a :detach
rename-window to newname ^b , <newname> OR
^b :rename-window <newn>
^a A <newname>
list windows ^b w ^a w
list windows in chooseable menu ^a "
go to window # ^b # ^a #
go to last-active window ^b l ^a ^a
go to next window ^b n ^a n
go to previous window ^b p ^a p
see keybindings ^b ? ^a ?
list sessions ^b s OR
tmux ls OR
tmux list-sessions
screen -ls
toggle visual bell ^a ^g
create another window ^b c ^a c
exit current shell/window ^d ^d
split window/pane horizontally ^b " ^a S
split window/pane vertically ^b % ^a |
switch to other pane ^b o ^a <tab>
kill the current pane ^b x OR (logout/^D)
collapse the current pane/split (but leave processes running) ^a X
cycle location of panes ^b ^o
swap current pane with previous ^b {
swap current pane with next ^b }
show time ^b t
show numeric values of panes ^b q
toggle zoom-state of current pane (maximize/return current pane) ^b z
break the current pane out of its window (to form new window) ^b !
re-arrange current panels within same window (different layouts) ^b [space]
Kill the current window (and all panes within) ^b killw [target-window]
  • Open Source Summit

    Join us in Edinburgh! Submit a proposal to speak by July 1 for Open Source Summit & ELC + OpenIoT Summit Europe.

    Submit a proposal to speak at Open Source Summit Europe & ELC + OpenIoT Summit Europe, taking place October 22-24, 2018, in Edinburgh, UK, and share your knowledge and expertise with 2,000+ open source technologists and community leaders. Proposals are being accepted through 11:59pm PDT, Sunday, July 1.

    This year’s tracks and content will cover the following areas at Open Source Summit Europe:

    Cloud Native Apps/Serverless/Microservices Infrastructure & Automation (Cloud/Cloud Native/DevOps) Linux Systems Artificial Intelligence & Data Analytics Emerging Technologies & Wildcard (Networking, Edge, IoT, Hardware, Blockchain) Community, Compliance, Governance, Culture, Open Source Program Management (Open Collaboration Conference track) Diversity & Inclusion (Diversity Empowerment Summit) Innovation at Apache/Apache Projects TODO / Open Source Program Management

    View the full list of suggested topics for Open Source Summit Europe.

    Suggested Embedded Linux Conference (ELC) Topics:

    Audio, Video, Streaming Media and Graphics Security System Size, Boot Speed Real-Time Linux – Performance, Tuning and Mainlining SDKs for Embedded Products Flash Memory Devices and Filesystems Build Systems, Embedded Distributions and Development Tools Linux in Devices such as Mobile Phones, DVRs, TVs, Cameras, etc Use of Linux in Automotive Drones and Robots Linux in the Internet of Things Practical Experiences and War Stories Standards Public Infrastructure Industrial Automation

    This year’s tracks and content will cover the following areas at ELC:

    Suggested OpenIoT Summit Topics:

    Real-Time OS (Zephyr, RIOT, MyNewt, FreeRTOS, NuttX, mbed and Others) Outside World Meets IoT (Sensor Interaction, Low Footprint, Connected Sensors, EMF/RFI Impact) Bootloaders, Firmware & Updates Containers Distributed Edge Application Technologies On-device Analytics Blockchain for Constrained Devices Device Management Power Management Configuration Management Developing for Security Safety Considerations Certifications – Lessons Learned Taking Devices to Product

    View the full list of suggested topics for ELC + OpenIoT Summit Europe.

    SUBMIT FOR OPEN SOURCE SUMMIT EUROPE »SUBMIT FOR ELC + OPENIOT SUMMIT EUROPE »

    Sign up to receive updates on Open Source Summit Europe and ELC + OpenIoT Summit Europe:

    Register & Save

    Not submitting, but plan to attend? Register before August 18 and save $300 with early bird pricing. One registration gets you access to both Open Source Summit Europe & ELC + OpenIoT Summit Europe.

    Interested in Sponsoring?

    Showcase your thought leadership among a vibrant open source community and connect with top influencers driving today’s technology purchasing decisions. Learn how to become a sponsor of Open Source Summit Europe or ELC + OpenIoT Summit Europe.

    The post Last Chance to Speak at Open Source Summit and ELC + OpenIoT Summit Europe – Submit by July 1 appeared first on The Linux Foundation.

    https://www.linuxfoundation.org/blog/last-chance-to-speak-at-open-source-summit-and-elc-openiot-summit-europe-submit-by-july-1/

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  • Open Source Guides

    The Open Source Guides for the Enterprise are now available in Chinese.

    The popular Open Source Guides for the Enterprise, developed by The Linux Foundation in collaboration with the TODO Group, are now available in Chinese. This set of guides provides industry-proven best practices to help organizations successfully leverage open source.

    “Making these resources available to Chinese audiences in their native language will encourage even greater adoption of and participation with open source projects,” said Chris Aniszczyk, CTO of Cloud Native Computing Foundation and co-founder of the TODO Group. The guides span various stages of the open source project lifecycle, from initial planning and formation to winding down a project.

    The 10 guides now available in Mandarin include topics such as:

    Creating an Open Source Program by Chris Aniszczyk, Cloud Native Computing Foundation; Jeff McAffer, Microsoft; Will Norris, Google; and Andrew Spyker, Netflix Using Open Source Code by Ibrahim Haddad, Samsung Research America Participating in Open Source Communities by Stormy Peters, Red Hat; and Nithya Ruff, Comcast Recruiting Open Source Developers by Guy Martin, Autodesk; Jeff Osier-Mixon, Intel Corporation; Nithya Ruff; and Gil Yehuda, Oath Measuring Your Open Source Program’s Success by Christine Abernathy, Facebook; Chris Aniszczyk; Joe Beda, Heptio; Sarah Novotny, Google; and Gil Yehuda

    The translated guides were launched at the LinuxCon + ContainerCon + CloudOpen China conference in Beijing, where The Linux Foundation also welcomed Chinese Internet giant Tencent as a Platinum Member.

    The post Open Source Guides for the Enterprise Now Available in Chinese appeared first on The Linux Foundation.

    https://www.linuxfoundation.org/blog/open-source-guides-for-the-enterprise-now-available-in-chinese/

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