deep learning

The LF Deep Learning Foundation is now accepting proposals for the contribution of projects.

I am very pleased to announce that the LF Deep Learning Foundation has approved a project lifecycle and contribution process to enable the contribution, support and growth of artificial intelligence, machine learning and deep learning open source projects. With these documents in place, the LF Deep Learning Foundation is now accepting proposals for the contribution of projects.

The LF Deep Learning Foundation, a community umbrella project of The Linux Foundation with the mission of supporting artificial intelligence, machine learning and deep learning open source projects, is working to build a self-sustaining ecosystem of projects.  Having a clear roadmap for how to contribute projects is a first step. Contributed projects operate under their own technical governance with collaboration resources allocated and provided by the LF Deep Learning Foundation’s Governing Board. Membership in the LF Deep Learning Foundation is not required to propose a project contribution.

The project lifecycle and contribution process documents can be found here: https://lists.deeplearningfoundation.org/g/tac-general/wiki/Lifecycle-Document-and-Project-Proposal-Process. Note that sign-up to the general LF Deep Learning Foundation mailing list is required to access these materials.

If you are interested in contributing a project, please review the steps and requirements described in the above materials. We are very excited to see what kinds of innovative, forward-thinking projects the community creates.

If you have any questions on how to contribute a project or the types of support LF Deep Learning Foundation is providing to its projects, please reach out to me at snicholas@linuxfoundation.org.

For more information on the LF Deep Learning Foundation, please visit https://www.linuxfoundation.org/projects/deep-learning/.

Acumos AI Challenge

The Acumos AI Challenge, presented by AT&T and Tech Mahindra, is an open source developer competition seeking innovative, ground-breaking AI solutions; enter now.

Artificial Intelligence (AI) has quickly evolved over the past few years and is changing the way we interact with the world around us. From digital assistants, to AI apps interpreting MRIs and operating self-driving cars, there has been significant momentum and interest in the potential for machine learning technologies applied to AI.

The Acumos AI Challenge, presented by AT&T and Tech Mahindra, is an open source developer competition seeking innovative, ground-breaking AI solutions from students, developers, and data scientists. We are awarding over $100,000 in prizes, including the chance for finalists to travel to San Francisco to pitch their solutions during the finals on September 11, 2018. Finalists will also have the chance to have their solutions featured in the Acumos Marketplace, exposure, and meetings with AT&T and Tech Mahindra executives.

Acumos AI is a platform and open source framework that makes it easy to build, share, and deploy AI applications. The Acumos AI platform, hosted by The Linux Foundation, simplifies development and provides a marketplace for accessing, using and enhancing AI apps.  

We created the Acumos AI Challenge to enable and accelerate AI adoption and innovation, while recognizing developers who are paving the future of AI development. The Acumos AI Challenge seeks innovative AI models across all use cases. Some example use cases include, but are not limited to:

5G & SDN

Build an AI app that improves the overall performance and efficiencies of 5G networks and Software-Defined Networking.

Media & Entertainment

Build an AI model targeting a media or entertainment use case. Examples include solutions for:

  • Broadcast media, internet, film, social media, and ad campaign analysis
  • Video and image recognition, speech and sound recognition, video insight tools, etc.

Security

Build an AI app around network security use cases such as advanced threat protection, cyber security, IoT security, and more.

Enterprise Solutions

Build an AI model targeting an enterprise use case, including solutions for Automotive, Home Automation, Infrastructure, and IoT.

Since it is so easy to onboard new models into Acumos, there are nearly an infinite number of use cases to consider that can benefit consumers and businesses across a multitude of disciplines. When submitting your entry, we encourage you to consider all scenarios that you are passionate about.

The Acumos AI Challenge will be accepting submissions between May 31 – August 5, 2018. Teams are required to submit a working AI model, test dataset, and a demo video under 3 minutes. Register your team for the Challenge beginning May 31, 2018. We encourage you to register early so that you can begin to plan and build your solution and create your demo video.

Prize Packages

Register today and submit your AI solution for a chance to be one of the top three teams to pitch their app at the Palace of Fine Arts in San Francisco on September 11, 2018. The top three teams will each receive:

  • $25,000 Cash
  • Trip to the finals in San Francisco, including air and hotel (for two team members)
  • Meetings with AT&T and Tech Mahindra executives
  • AI Solution featured in Acumos Marketplace

The team that wins the finale will take home an additional $25,000 grand prize, for a total of $50,000.

We look forward to your entry and hope to see you in San Francisco in September!

REGISTER FOR THE ACUMOS AI CHALLENGE

Seeking Innovative and Ground-Breaking Artificial Intelligence Solutions

SAN FRANCISCO, May 31, 2018The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the Acumos AI Challenge, sponsored by AT&T and Tech Mahindra. The Acumos AI Challenge is an open source developer competition seeking innovative, ground-breaking artificial intelligence (AI) solutions from students, developers, and data scientists. The Acumos AI Challenge will foster development of AI models for the Acumos AI Project, an AI project of The Linux Foundation and supported by The Linux Foundation’s LF Deep Learning Foundation.

AT&T and Tech Mahindra are awarding $100,000 in prizes, as well as the chance for finalists to travel to San Francisco to pitch their solutions during the finals on September 11, 2018. All eligible AI solutions will be available as open source in the Acumos Marketplace.

“We created the Acumos AI Challenge to recognize developers who are paving the future of AI development, and helping to accelerate AI adoption and innovation,” said Mazin Gilbert, VP of Advanced Technology, AT&T.

The Acumos AI Project is a federated platform for managing AI and machine learning (ML) applications and sharing AI models. AT&T and Tech Mahindra contributed the initial Acumos code, now freely available for download, to the new LF Deep Learning Foundation, a project of The Linux Foundation that supports open source innovation in artificial intelligence, machine learning and deep learning. With the Acumos platform, developers and data scientists gain a new industry standard for making AI applications and models reusable and easily accessible.

“This Challenge provides a fantastic opportunity for developers to start to dig into Acumos in order to ramp up adoption and collaboration,” said Linux Foundation Executive Director Jim Zemlin. “The Acumos AI project was started by the LF Deep Learning Foundation community in order to provide a platform for developers and data scientists to freely share AI models and applications, so they are reusable and easily accessible.”

The Acumos AI Challenge is seeking AI solutions across all uses cases. Examples include, but are not limited to:

  • 5G & SDN – Apps that improve the overall performance and efficiencies of 5G networks and Software-Defined Networking.
  • Media & Entertainment – AI models targeting a media or entertainment use case. Examples include solutions for broadcast media, internet, film, social media, ad campaign analysis, video and image recognition, speech and sound recognition, video insight tools and more.
  • Security – AI apps around network security use cases such as advanced threat protection, cyber security, IoT security, etc.
  • Enterprise Solutions – AI models targeting an enterprise use case, including solutions for Automotive, Home Automation, Infrastructure and IoT.

The top three teams will each receive $25,000 cash, plus a trip to the finals in San Francisco in September. The team that wins the finale will take home an additional $25,000 grand prize, for a total of $50,000.

“The Acumos AI Challenge is an opportunity for the AI development community to create cutting-edge solutions with Acumos,” said Ashish Julka, Senior Vice President, Tech Mahindra. “We can tackle large problems with Acumos, and this initiative will yield innovative ideas to accelerate AI adoption across enterprises, and help them stay efficient and profitable.”

The Acumos AI Challenge is accepting submissions between May 31 – August 5, 2018. The competition is open to U.S., District of Columbia and Puerto Rico residents of a majority age. Teams are required to submit a working AI model, test dataset and a demo video under three minutes. Teams can register for the Challenge beginning May 31, 2018. We encourage you to register early so that you can begin to plan and build your solution and create your demo video.

The Linux Foundation is hosting the Acumos platform and Acumos Marketplace and is focused on nurturing an active, large community around the project. To learn more, visit https://www.acumos.org.

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.

# # #

open source AI

Download this new ebook to learn about some of the most successful open source AI projects.

Open source AI is flourishing, with companies developing and open sourcing new AI and machine learning tools at a rapid pace. To help you keep up with the changes and stay informed about the latest projects, The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others.

“It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.”

Open Source AI: Projects, Insights, and Trends looks at 16 open source AI projects – providing in depth information on their histories, codebases, and GitHub contributions. In this 100+ page book, you’ll gain insights about the various projects as well as the state of open source AI in general. Additionally, the book discusses the importance of project incubators, community governance, project consolidation, and presents some observations on common characteristics among the surveyed projects.

For each of the projects examined, the book provides a detailed summary offering basic information, observations, and pointers to web and code resources.  If you’re involved with open source AI, this book provides an essential guide to the current state of open source AI.

Download the ebook now to learn more about the most successful open source AI projects and read what it takes to build your own successful community.

open source AI

We look at three open source AI projects aimed at simplifying access to AI tools and insights.

At the intersection of open source and artificial intelligence, innovation is flourishing, and companies ranging from Google to Facebook to IBM are open sourcing AI and machine learning tools.

According to research from IT Intelligence Markets, the global artificial intelligence software market is expected to reach 13.89 billion USD by the end of 2022. However, talk about AI has accelerated faster than actual deployments. According to a detailed McKinsey report on the growing impact of AI, “only about 20 percent of AI-aware companies are currently using one or more of its technologies in a core business process or at scale.” Here, we look at three open source AI projects aimed at simplifying access to AI tools and insights.

TensorFlow

Google has open sourced a software framework called TensorFlow that it spent years developing to support its AI software and other predictive and analytics programs. TensorFlow is the engine behind several Google tools you may already use, including Google Photos and the speech recognition found in the Google app.

Google has also released two new AIY kits that let individuals easily get hands-on with artificial intelligence. Focused on computer vision, and voice assistants, the two kits come as small self-assembly cardboard boxes with all the components needed for use. The kits are currently available at Target in the United States, and, notably, are both based on the open source Raspberry Pi platform—more evidence of how much is going on at the intersection of open source and AI.

Sparkling Water

H2O.ai, formerly known as OxData, has carved out a niche in the machine learning and artificial intelligence arena, offering platform tools as well as Sparkling Water, a package that works with Apache Spark. H2O.ai’s tools, which you can access simply by downloading, operate under Apache licenses, and you can run them on clusters powered by Amazon Web Services (AWS) and others for just a few hundred dollars. Never before has this kind of AI-focused data sifting power been so affordable and easy to deploy.

Sparkling Water includes a toolchain for building machine learning pipelines on Apache Spark. In essence, Sparkling Water is an API that allows Spark users to leverage H2O’s open source machine learning platform instead of or alongside the algorithms that are included in Spark’s existing machine-learning library. H2O.ai has published several use cases for how Sparkling Water and its other open tools are used in fields ranging from genomics to insurance, demonstrating that organizations everywhere can now leverage open source AI tools.

H2O.ai’s Vinod Iyengar, who oversees business development at the company, says they are working to bring the power of AI to businesses. “Our machine learning platform features advanced algorithms that can be applied to specialized use cases and the wide variety of problems that organizations face,” he notes.

Just as open source focused companies such as Red Hat have combined commercial products and services with free and open source ones, H2O.ai is exploring the same model on the artificial intelligence front. Driverless AI is a new commercial product from H2O.ai that aims to ease AI and data science tasks at enterprises. With Driverless AI, non-technical users can gain insights from data, optimize algorithms, and apply machine learning to business processes. Note that, although it leverages tools with open source roots, Driverless AI is a commercial product.

Acumos

Acumos is another open source project aimed at simplifying access to AI. Acumos AI, which is part of the LF Deep Learning Foundation, is a platform and open source framework that makes it easy to build, share, and deploy AI apps. According to the website, “It standardizes the infrastructure stack and components required to run an out-of-the-box general AI environment. This frees data scientists and model trainers to focus on their core competencies and accelerates innovation.”

The goal is to make these critical new technologies available to developers and data scientists, including those who may have limited experience with deep learning and AI. Acumos also has a thriving marketplace where you can grab and deploy applications.

“An open and federated AI platform like the Acumos platform allows developers and companies to take advantage of the latest AI technologies and to more easily share proven models and expertise,” said Jim Zemlin, executive director at The Linux Foundation. “Acumos will benefit developers and data scientists across numerous industries and fields, from network and video analytics to content curation, threat prediction, and more.” You can learn more about Acumos here.

Calm technology

By 2020, 50 billion devices will be online. That projection was made by researchers at Cisco, and it was a key point in Amber Case’s Embedded Linux Conference keynote address, titled “Calm Technology: Design for the Next 50 Years” which is now available for replay.

Case, Author and Fellow at Harvard University’s Berkman Klein Center, referred to the “Dystopian Kitchen of the Future” as she discussed so-called smart devices that are invading our homes and lives, when the way they are implemented is not always so smart. “Half of it is hackable,” she said. “I can imagine your teapot getting hacked and someone gets away with your password. All of this just increases the surface area for attack. I don’t know about you, but I don’t want to have to be a system administrator just to live in my own home.”

Support and Recede

Case also discussed the era of “interruptive technology.” “It’s not just that we are getting text messages and robotic notifications all the time, but we are dealing with bad battery life, disconnected networks and servers that go down,” she said. “How do we design technology for sub-optimal situations instead of the perfect situations that we design for in the lab?”

“What we need is calm technology,” she noted, “where the tech recedes into the background and supports us, amplifying our humanness. The only time a technology understands you the first time is in Star Trek or in films, where they can do 40 takes. Films have helped give us unrealistic expectations about how our technology understands us. We don’t even understand ourselves, not to mention the person standing next to us. How can technology understand us better than that?”

Case noted that the age of calm technology was referenced long ago at Xerox PARC, by early ubiquitous computing researchers, who paved the way for the Internet of Things (IoT). “What matters is not technology itself, but its relationship to us,” they wrote.

7 Axioms

She cited this quote from Xerox researcher Mark Weiser: “A good tool is an invisible tool. By invisible, we mean that the tool does not intrude on your consciousness; you focus on the task, not the tool.”

Case supplied some ordered axioms for developing calm technology:

  1.    Technology shouldn’t require all of our attention, just some of it, and only when necessary.
  2.    Technology should empower the periphery.
  3.    Technology should inform and calm.
  4.    Technology should amplify the best of technology and the best of humanity.
  5.    Technology can communicate, but it doesn’t need to speak.
  6.    Technology should consider social norms.
  7.    The right amount of technology is the minimum amount to solve the problem.

In summing up, Case said that calm technology allows people to “accomplish the same goal with the least amount of mental cost.” In addition to her presentation at the Embedded Linux Conference, Case also maintains a website on calm technology, which offers related papers, exercises and more.

Watch the complete presentation below:

New members support efforts to advance data governance and data science approaches

Berlin, Germany – April 16, 2018 – DataWorks Summit — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that Attunity and ING have joined the initiative to advance data governance and data science approaches.

Many vendors have focused on productizing Apache Hadoop® as a distribution, which led to inconsistency that increased the cost and complexity for application vendors and end-users to  fully embrace Apache Hadoop. Founded in 2015, ODPi is an industry effort to accelerate the adoption of Apache Hadoop and related big data technologies. ODPi’s members aim to accelerate Apache Hadoop adoption through a neutral, industry-wide approach to data governance and data science. Together, they are supporting the mission of creating an open data ecosystem through collaboration with subject matter experts and data platform and tools vendors.

The Big Data market has, in part due to efforts by ODPi and its members, achieved the desired simplification of the Apache Hadoop landscape. However, barriers to broader and more rapid enterprise Hadoop adoption exist and can benefit from a neutral, industry-wide approach to data governance and data science,” said John Mertic, director of program management, ODPi. “We are thrilled to have Attunity and ING on board as ODPi members to help us further these industry-wide approaches.”

The new ODPi members will join a diverse and growing group of members that include well-known Apache Hadoop software companies, service providers and end users, as well as a rapidly growing community.

ING Information Architect and Application Developer, Maryna Strelchuk, and ODPi Director of Program Management, John Mertic, will be co-presenting at DataWorks Summit on The rise of big data governance: Insight on this emerging trend from active open source initiatives.

About the newest members:

Attunity is a leading provider of modern data integration and Big Data management software solutions that enable availability, delivery, and management of data across heterogeneous enterprise platforms in organizations worldwide. Its flagship solution, with change data capture technology, offers real-time data integration and ingestion across all databases, data warehouses, Hadoop and the cloud. Leading businesses choose Attunity to enable data lakes for real-time analytics, and ultimately, maximize the value of their IT and data investments.

“Attunity is excited to become a member of ODPi, helping to set a vision and technology ecosystem for metadata management that will benefit enterprises building modern data architectures,” said Itamar Ankorion, Chief Marketing Officer at Attunity. “Attunity shares ODPi’s belief that automated discovery and maintenance of metadata has to be an integral part of all modern data integration tools like ours that access, change and move information. We look forward to being part of ODPi’s efforts to standardize, support and accelerate growth of the Big Data Ecosystem.”

ING is a global financial institution with a strong European base, offering banking services. We draw on our experience and expertise, our commitment to excellent service and our global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our customers are at the heart of what we do.

“ING decided to become a member of ODPi to help drive standardization around open metadata,” said Ferd Scheepers, Chief Information Architect at ING. “Analytics is one of our strategic priorities, and we believe that standardization of metadata is a key enabler to be successful with analytics. ODPi as an independent group plays a key role in helping standardization across vendors, for ING the key reason to join and support ODPi.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

###

Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

New members support efforts to advance data governance and data science approaches

Berlin, Germany – April 16, 2018 – DataWorks Summit — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that Attunity and ING have joined the initiative to advance data governance and data science approaches.

Many vendors have focused on productizing Apache Hadoop® as a distribution, which led to inconsistency that increased the cost and complexity for application vendors and end-users to  fully embrace Apache Hadoop. Founded in 2015, ODPi is an industry effort to accelerate the adoption of Apache Hadoop and related big data technologies. ODPi’s members aim to accelerate Apache Hadoop adoption through a neutral, industry-wide approach to data governance and data science. Together, they are supporting the mission of creating an open data ecosystem through collaboration with subject matter experts and data platform and tools vendors.

The Big Data market has, in part due to efforts by ODPi and its members, achieved the desired simplification of the Apache Hadoop landscape. However, barriers to broader and more rapid enterprise Hadoop adoption exist and can benefit from a neutral, industry-wide approach to data governance and data science,” said John Mertic, director of program management, ODPi. “We are thrilled to have Attunity and ING on board as ODPi members to help us further these industry-wide approaches.”

The new ODPi members will join a diverse and growing group of members that include well-known Apache Hadoop software companies, service providers and end users, as well as a rapidly growing community.

ING Information Architect and Application Developer, Maryna Strelchuk, and ODPi Director of Program Management, John Mertic, will be co-presenting at DataWorks Summit on The rise of big data governance: Insight on this emerging trend from active open source initiatives.

About the newest members:

Attunity is a leading provider of modern data integration and Big Data management software solutions that enable availability, delivery, and management of data across heterogeneous enterprise platforms in organizations worldwide. Its flagship solution, with change data capture technology, offers real-time data integration and ingestion across all databases, data warehouses, Hadoop and the cloud. Leading businesses choose Attunity to enable data lakes for real-time analytics, and ultimately, maximize the value of their IT and data investments.

“Attunity is excited to become a member of ODPi, helping to set a vision and technology ecosystem for metadata management that will benefit enterprises building modern data architectures,” said Itamar Ankorion, Chief Marketing Officer at Attunity. “Attunity shares ODPi’s belief that automated discovery and maintenance of metadata has to be an integral part of all modern data integration tools like ours that access, change and move information. We look forward to being part of ODPi’s efforts to standardize, support and accelerate growth of the Big Data Ecosystem.”

ING is a global financial institution with a strong European base, offering banking services. We draw on our experience and expertise, our commitment to excellent service and our global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our customers are at the heart of what we do.

“ING decided to become a member of ODPi to help drive standardization around open metadata,” said Ferd Scheepers, Chief Information Architect at ING. “Analytics is one of our strategic priorities, and we believe that standardization of metadata is a key enabler to be successful with analytics. ODPi as an independent group plays a key role in helping standardization across vendors, for ING the key reason to join and support ODPi.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

###

Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

Delivers a Framework and Marketplace to Empower Data Scientists and Developers to Build the Future of Artificial Intelligence

LOS ANGELES (Open Networking Summit), March 26, 2018The Linux Foundation today publicly launched the Acumos AI Project, a federated platform for managing artificial intelligence (AI) and machine learning (ML) applications and sharing AI models. AT&T and Tech Mahindra contributed the initial Acumos code, now freely available for download, to the new LF Deep Learning Foundation. With the Acumos platform, developers and data scientists gain a new industry standard for making AI applications and models reusable and easily accessible.

Many AI tools today are difficult to implement and require significant domain expertise. Acumos is the first to give users a visual workflow to design AI and ML applications, as well as a marketplace for freely sharing AI solutions and data models. The Acumos framework is user-centric and simple to explore. The Acumos Marketplace packages various components as microservices and allows users to export ready-to-launch AI applications as containers to run in public clouds or private environments.

“An open and federated AI platform like the Acumos platform allows developers and companies to take advantage of the latest AI technologies and to more easily share proven models and expertise,” said Jim Zemlin, executive director at The Linux Foundation. “Acumos will benefit developers and data scientists across numerous industries and fields, from network and video analytics to content curation, threat prediction, and more.”

The Linux Foundation is hosting the Acumos platform and Acumos Marketplace and is focused on nurturing an active, large community around the project. To learn more, visit https://www.acumos.org.

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.

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.

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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.