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Christina Harter

Thank you to Orange for a Successful Virtual LF AI Day EU!

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A big thank you to Orange for hosting our first virtual LF AI Day EU! The event was held on June 22, 2020 and was a great success with close to 50 attendees joining live. 

The event featured keynote speakers from leading operators in the AI industry and startups with a focus on open source strategies for machine learning and deep learning. Various AI topics were covered, including technical presentations from EU startups, demonstrations of AI Marketplace, and discussions of LF AI projects.

The LF AI day was an opportunity to discuss the evolution of AI, the history of LF AI and innovative AI products from EU startups.

After the Orange Welcome of Claire Chauvin, François Jezequel presented the evolution towards Artificial General Intelligence AGI defined as the representation of generalized human cognitive abilities in AI software. He gave an example of research projects on neuroscience and knowledge representation and reasoning.

Anwar Aftab, from AT&T Labs, presented the new functionalities of the latest Acumos AI Release Demeter as a Portable AI platform and how AT&T is using AI for Network automation in Open RAN and NFV/ONAP.

Several European startups presented their innovative AI products starting with an advanced chatbot for conversational AI from Levia, AI empowering HR from Xtramile, neural search engine from Jina AI and visual automation from Ximilar.

The demonstration of the Orange AI Marketplace was also realized during this event as a European platform to accelerate the delivery of AI to the Enterprise market.

During this event, the French open source RosaeNLG (Natural Language Generation) project was introduced, as well as the research activity of Université de Paris for document co-clustering.

Missed the event? Check out the presentations here.

This event was held in a virtual format but we look forward to connecting again at another event in person soon. LF AI Day is a regional, one-day event hosted and organized by local members with support from LF AI, its members, and its projects. If you are interested in hosting an LF AI Day, please email info@lfai.foundation to discuss.

Event host, Orange, is a leading telecommunications company with headquarters in France. They are the largest telecoms operator in France, with the bulk of their operations in Europe, Africa and the Middle East.

As an LF AI General Member, Orange is involved within the LF AI Governing Board, Outreach Committee, Trusted AI Committee and an active contributor to the LF AI Acumos project.

LF AI Resources

Milvus v0.10.0 Release Now Available!

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Milvus, an LF AI Foundation Incubation-Stage Project, has released version 0.10.0. We’re excited to see another great release from this community!

In this new version, Milvus has made quite a few improvements and bug fixes:

Compatibility changes:

  • Updates the Milvus configuration file. #2510

Improvements:

  • Optimizes the index building performance when many small segments exist. #2373
  • FAISS is upgraded to 1.6.3. #2381
  • Optimizes dropping collection performance when too many partitions exist. #2394
  • Optimizes the implementation of k-selection algorithm for GPU-enabled Milvus. #2466

Fixed issues:

  • The search performance degrades on Milvus 0.9.1. #2429

The Milvus Project invites you to adopt or upgrade to version 0.10.0 in your application, and welcomes feedback. To learn more about the Milvus 0.10.0 release, check out the change log and full release notes. Want to get involved with Milvus? Be sure to join the Milvus-Announce and Milvus Technical-Discuss mailing lists to join the community and stay connected on the latest updates. 

Congratulations to the Milvus team! We look forward to continued growth and success as part of the LF AI Foundation. To learn about hosting an open source project with us, visit the LF AI Foundation website.

Milvus Key Links

LF AI Resources

Elastic Deep Learning 0.3.0 Release Now Available!

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Elastic Deep Learning (EDL), an LF AI Foundation Incubation-Stage Project, has released version 0.3.0. Congratulations to the EDL community for all their hard work in order to make this possible!

EDL is a framework with the ability to dynamically adjust the parallelism (number of training workers) for deep neural network training. It can support multi-tenant cluster management to balance job completion time and job waiting time, maximize the use of idle resources, and so on. This project contains the EDL framework and its applications such as distillation and NAS.

Major features of the EDL 0.3.0 release include:

  • Support elastic training with inference type services during training, such as knowledge distillation.
  • Inference type services are automatically registered through service discovery in EDL.
  • Knowledge distillation examples in computer vision and natural language processing.

Also, a new version will be released later that will automatically adjust teachers based on traffic.

The EDL Project invites you to adopt or upgrade to version 0.3.0, and welcomes feedback. To learn more about the EDL 0.3.0 release, check out the full release notes. Want to get involved with EDL? Be sure to join the EDL-Announce and EDL Technical-Discuss mailing lists to join the community and stay connected on the latest updates.

Congratulations to the EDL team! We look forward to continued growth and success as part of the LF AI Foundation. To learn about hosting an open source project with us, visit the LF AI Foundation website.

Elastic Deep Learning Key Links

LF AI Resources

Acumos Demeter Release Now Available!

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Acumos, an LF AI Foundation Graduated Project, has announced their fourth software release, codenamed Demeter. We’re thrilled to see another great release from the community!

This new version introduces a fully cloud-enabled platform which is quick and easy to deploy and features elastic performance based upon load, making it suitable for use by small teams or large companies. Demeter also introduces bidirectional communications on the federation link, allowing developers to securely receive information about model performance and provide users with automatic and timely updates.

Acumos is a platform and open source framework that makes it easy to build, share, and deploy AI apps. Acumos 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.

Major highlights of the Demeter release include:

Cloud Enablement:

  • Containerized platform deployment incorporating cloud native functions, horizontal scaling, and implementation flexibility.

On Boarding:

  • CLI message response with the Acumos Docker model.
  • Support for Pre-dockerized and Dockerized model URI with protobuf file to render models usable in Design studio.

Licensing:

  • Activity tracking and reporting – License usage manager (LUM) maintains logs of model usage.
  • Integration of License module with Portal UI.

Training:

  • Bidirectional communication over the federation link between subscriber and supplier instances to support ML life cycle management and continuous learning.

ML Workbench:

  • Predictor Manager
    • The Predictor Manager manages the model deployment, visualization of deployment metadata and association to a project.
  • Data source
    • The Data Source feature allows users to create and associate project data with a model to create, update, and delete data sets used for training, validation and testing.

To learn more about the Acumos Demeter release, check out the full release notes. Want to get involved with Acumos? Be sure to join the Acumos-Announce and Acumos Technical-Discuss mailing lists to join the community and stay connected on the latest updates. 

Congratulations to the Acumos team and we look forward to continued growth and success as part of the LF AI Foundation! To learn about hosting an open source project with us, visit the LF AI Foundation website.

Mazin Gilbert, VP of Technology and Innovation, AT&T, said: “AT&T is proud to be a founding member of the Acumos platform, which has radically improved over the past 2 years. As AI begins to play a central role in 5G, openness and industry collaboration are proving more valuable than ever. Acumos has brought together some of the brightest minds in the industry, and we’re consistently encouraged by the progress.”

Sachin Desai, LF AI Board Member and Ericsson VP of Global AI Accelerator, said: “In the Acumos Demeter release, Ericsson has contributed in areas such as bidirectional communications and enhanced licensing functionalities which enable continuous training, transfer learning and its commercialization. This new release will enable a broader range of applications and collaborations among Acumos ecosystem partners and support more complete life cycle management of AI in telecommunication. We are excited to continue providing Ericsson’s technology leadership related to AI/ML in telecommunication domain through our active engagement in the open source community.”

Jonne Soininen, Head of Open Source Initiatives at Nokia, said: “Acumos with the Demeter Release offers a complete experience for ML modelers and model consumers beyond the marketplace. As a founding member of the LF AI, Nokia is excited about the possibilities of Acumos in powering ML model marketplaces around network automation. We are always impressed with the great results of the Acumos community and the Demeter release is no different.” 

Emmanuel Lugagne Delpon, SVP Orange Labs Networks and Group CTO, said: “The Demeter Release of Acumos is a new step towards a seamless way to produce and deploy AI models in various environments such as 5G and ONAP network automation: this will be eased thanks to the Cloud Enablement and Predictor Manager features. The addition of Data Source – a keystone of each AI project – is also a crucial feature for companies who want to manage all of their AI models in a centralized Marketplace catalogue (from the model training to the deployment). The development of the Demeter release during the unique situation the world is facing today is really impressive: it demonstrates the strength of open source communities combined with individual commitments of each contributor. To favor cross cooperation between communities and to meet its operational objectives, Orange is also active in the integration of this new release with ONAP in order to test 5G use cases.”

Sachin Saraf, SVP and VBU Head, CME Business, Tech Mahindra, said: “Tech Mahindra is excited to see Acumos AI reaching its fourth major milestone in a short span of two years with the release of Demeter. Seamless hosting of the Acumos AI platform has been energized by the Cloud Enablement feature. Predictor management, as well as the data source features of ML workbench, which allows users to manage and associate the models to the project and data. As part of our TechMNxt charter, the latest Acumos AI release fosters co-innovation and co-creation in the field of AI and ML and is a mainstay of our key focus areas. We will continue to work towards the enrichment of Acumos AI platform. Our enterprise grade solutions are anchoring a key role in accelerating the adoption of Linux Foundation Artificial Intelligence open source projects.”

Bingtao Han, Chief System Architecture Expert, ZTE, said: “Acumos Demeter release marks a significant milestone for Acumos development with enhanced support for bringing ML models into production, like much more flexible cloud enablement and deployment management of ML models. ZTE believes that Acumos has great potential to be a key enabler of network intelligence in 5G evolution. We’ll continue to support Acumos and embrace the opportunities in open source practices.”

Acumos Key Links

LF AI Resources

Join the LF AI Foundation at OSS+ELC NA 2020

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The LF AI Foundation is excited to announce our participation at the upcoming Open Source Summit + Embedded Linux Conference North America 2020! The event will be held virtually, and registration is only $50 for four days of learning and collaboration. 

Below are all the different ways to interact with the LF AI Foundation at the conference. We hope to see you there!

Attend Sessions in the AI/ML/DL Track 

The LF AI Foundation will be hosting an AI/ML/DL Track at OSS NA. Join these sessions to learn the latest updates from our projects and hear from leaders in the AI industry. Register for OSS NA to attend.

Visit us at the LF AI Booth!

Come chat with us at our virtual booth at OSS NA, located in the Bronze Hall. Various LF AI community members will be around all week to answer any questions you have. You’ll also be able to get more information on how to get involved with the LF AI Foundation.

Attend the LF AI Mini Summit!

We invite you to join us for our LF AI Foundation Mini Summit where we will cover the latest updates from the Foundation, Technical Advisory Council, Trusted AI Committee, and more. We look forward to uncovering new collaboration opportunities among our growing community. 

Join us by registering to attend the Open Source Summit NA – Register Now

The LF AI Mini Summit is co-located with the Open Source Summit NA and will be held virtually on Thursday, July 2 at 10:00 – 11:30am Central Daylight Time (UTC -5). You will need to be registered for OSS NA to attend. OSS NA registration costs $50 USD, which includes access to the LF AI Mini Summit.

The LF AI Foundation mission is to build and support an open AI community, and drive open source innovation in the AI, ML, and DL domains by enabling collaboration and the creation of new opportunities for all the members of the community. 

Want to get involved with the LF AI Foundation? Be sure to subscribe to our mailing lists to join the community and stay connected on the latest updates. 

LF AI Resources

Virtual LF AI Day EU – June 22, 2020

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Orange and the LF AI Foundation are pleased to announce the upcoming Virtual LF AI Day* EU – Europe 2020, to be held via Zoom on Monday, June 22. 

This event will feature keynote speakers from leading operators in the AI industry with a focus on open source strategies for machine learning and deep learning.

During this event, various AI topics will be covered, including technical presentations from startups, demonstrations of AI Marketplace and discussions of LF AI projects.

Registration is now open and the event is free to attend. Capacity will be 200 attendees. For up to date information on this virtual meetup, please visit the event website

Note: Due to the Novel Coronavirus situation (COVID-19), the event hosts have decided to make this a virtual-only event via Zoom in order to ensure the safety of our event participants and organizers. We look forward to connecting with you at a future event in person.

Event host, Orange, is a leading telecommunications company with headquarters in France. They are the largest telecoms operator in France, with the bulk of their operations in Europe, Africa and the Middle East.

As an LF AI General Member, Orange is involved within the LF AI Governing Board, Outreach Committee, Trusted AI Committee and an active contributor to the LF AI Acumos project.

*LF AI Day is a regional, one-day event hosted and organized by local members with support from LF AI and its Projects. Learn more about the LF AI Foundation here.

LF AI Resources

Milvus v0.9.0 Release Now Available!

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Milvus, an LF AI Foundation Incubation-Stage Project, has released version 0.9.0. We’re thrilled to see lots of momentum from this community!

In version 0.9.0, Milvus adds a lot of new features, improvements, and bug fixes: 

New features

  • Checks the CPU instruction set, GPU driver version, and CUDA version, when Milvus starts up. #2054 #2111
  • Prevents multiple Milvus instances from accessing the same Milvus database at the same time. #2059
  • Supports log file rotating. #2206
  • Suspends index building when a search request comes in. #2283

Improvements

  • Refactors log output. #221
  • Upgrades OpenBLAS to improve Milvus’ performance. #1796
  • Unifies the vector distance calculation algorithms among FAISS, NSG, HNSW, and ANNOY. #1965
  • Supports SSE4.2 instruction set. #2039
  • Refactors the configuration files. #2149 #2167
  • Uses Elkan K-means algorithm to improve the IVF index performance. #2178

Bug fixes and API changes 

The Milvus Project invites you to adopt or upgrade to version 0.9.0 in your application, and welcomes feedback. To learn more about the Milvus 0.9.0 release, check out the full release notes. Want to get involved with Milvus? Be sure to join the Milvus-Announce and Milvus Technical-Discuss mailing lists to join the community and stay connected on the latest updates. 

Congratulations to the Milvus team! We look forward to continued growth and success as part of the LF AI Foundation. To learn about hosting an open source project with us, visit the LF AI Foundation website.

Milvus Key Links

LF AI Resources

Welcome LF AI Newly Elected Leaders

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We are excited to welcome three newly elected leaders to the LF AI Foundation. We look forward to their leadership in the upcoming year and for their help in supporting open source innovation and projects within the artificial intelligence (AI), machine learning (ML), and deep learning (DL) space.

A huge thank you to previously elected leaders for all of their contributions, and congratulations to the newly elected Governing Board Chairperson, Treasurer, and Technical Advisory Council Chairperson. For more details on the leadership roles, please take a look at the LF AI Foundation Charter available here. Learn more about each leader below:

Charles “Starlord” Xie, Chairperson, Governing Board

Charles “Starlord” Xie, Chairperson, Governing Board

Starlord, Founder and CEO of Zilliz, was elected as the new Chairperson of the LF AI Governing Board. Starlord will lead community partners to further enhance the leading position of the open source AI community in the ​​industry.

Starlord is an expert in database and AI with more than 18 years of experience. He is the founder and CEO of Zilliz, an open-source software company with a mission to reinvent data science. Before Zilliz, Starlord worked many years at the Oracle US headquarters, developing Oracle’s relational database systems. Starlord is a founding member and a key contributor of the Oracle 12c cloud database project. Oracle 12c is a huge success and has realized more than $10B of accumulated revenue. Starlord received a master’s degree in computer science from University of Wisconsin-Madison and a bachelor’s degree from Huazhong University of Science and Technology.

Starlord said: “It is a great honor to be elected as the chairman of the LF AI Governing Board, and I thank the global open source AI community for their support and trust. In the past two years, the LF AI foundation has developed rapidly and has incubated a group of people from Microsoft, IBM, Facebook , Tencent, Baidu, AT&T, ZTE and Zilliz and other excellent AI projects. Let us work together to build a wider and more dynamic open source AI community!”

Jonne Soininen, Treasurer, Governing Board

Jonne Soininen, Treasurer, Governing Board

Jonne Soininen has been re-elected as Treasurer of the LF AI Governing Board for the third year.

Jonne is an open source enthusiast and Head of Open Source Initiatives in Nokia. In addition to the LF AI Governing Board, Jonne serves as Treasurer of the Linux Foundation Networking (LFN) Governing Board and the Chair of the Strategic Planning Committee (SPC). Prior to his current position at Nokia, he worked in different positions within Nokia, Nokia Siemens Networks, Renesas Mobile, and Broadcom, and has an extensive history in telecommunications ranging over 20 years.

Jonne said: “I am very grateful for the renewed opportunity to serve the LF AI community as the Treasurer of the LF AI Governing Board. The LF AI has evolved tremendously over the first two years of existence. I am both excited and humbled for being trusted to continue contributing to the development of this community.”

Jim Spohrer, Chairperson, Technical Advisory Council (TAC)

Jim Spohrer, Director of the Cognitive Opentech Group (COG) at IBM Research, has been elected as Chairperson for the LF AI’s Technical Advisory Council (TAC).

Dr. Spohrer directs IBM’s open source Artificial Intelligence developer ecosystem effort – including IBM’s Center for Opensource Data and AI Technologies (CODAIT). At IBM, he was CTO IBM Venture Capital Relations Group, co-founded IBM Almaden Service Research, and led IBM Global University Programs.  After his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In the 1990’s, he attained Apple Computers’ Distinguished Engineer Scientist and Technologist role for next generation learning platforms. With over ninety publications and nine patents, he received the Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing Service Science.

Dr. Spohrer said: “Grateful to be elected to serve the community as LF AI TAC Chairperson, while we work together to advance open source data and AI technologies at this exciting time in the history of Artificial Intelligence. AI is hard, and will take decades to solve, but the foundations are being put in place at LF AI today with open source projects such as ONNX, Horovod, Angel, Acumos, Ludwig, ForestFlow, Adlik, EDL, NNStreamer, Marquez, Milvus, Pyro, and sparklyr.”

Join the LF AI Community!

The LF AI Foundation is committed to building an open source AI community in the fields of artificial intelligence (AI), machine learning (ML) and deep learning (DL). LF AI drives open source innovation in the field of AI by creating new opportunities for all community members to collaborate with each other. Interested in joining the LF AI community as a member? Learn more here.

LF AI Resources