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Join LF AI at Cloud Native + Open Source Virtual Summit China 2020

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The LF AI Foundation is excited to announce our participation at the upcoming Cloud Native + Open Source Virtual Summit China 2020! The event will be held virtually on July 30 – August 1, and registration is free.

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

Attend the LF AI Lightning Talk!

We invite you to join Dr. Ibrahim Haddad, the LF AI Foundation Executive Director, for our LF AI Foundation Lightning Talk: LF AI: Accelerating Open Source AI Innovation and Collaboration.

Over the past two decades, open source software — and its collaborative development model — has disrupted multiple industries and technology sectors, including the Internet/web, telecom, and consumer electronics. Today, large scale open source projects in new technology sectors like blockchain and artificial intelligence are driving the next wave of disruption in an even broader span of verticals ranging from finance, energy and automotive to entertainment and government.

In this talk, Dr. Haddad will provide a quick overview of the efforts of the LF AI Foundation in supporting the development, harmonization, and acceleration of open source AI projects and how to get involved.

The date and time of the talk will be published soon. Please check the conference schedule for more details. We look forward to uncovering new collaboration opportunities among our growing community. 

Join us by registering to attend the conference – Register Now

Visit us at the LF AI Virtual Booth!

Visit our virtual booth! Scan our WeChat QR code 30 minutes before the LF AI talk to interact with LF AI Executive Director, Dr. Ibrahim Haddad. You’ll also be able to get more information on how to get involved with the LF AI Foundation.

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

New LF AI Member Welcome – Q2 2020

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We are excited to welcome three new members to the LF AI Foundation – Montreal AI Ethics Institute, Pranveer Singh Technology Institute, and Penn State Great Valley. These organizations join us as Associate members. The LF AI Associate membership is reserved pre-approved non-profits, open source projects, and government entities. Learn a bit more about these organizations in their own words:

Montreal AI Ethics Institute

The Montreal AI Ethics Institute is an international, non-profit research institute dedicated to defining humanity’s place in a world increasingly characterized and driven by algorithms. We do this by creating tangible and applied technical and policy research in the ethical, safe, and inclusive development of AI. Our goal is to build public competence and understanding of the societal impacts of AI and to equip and empower diverse stakeholders to actively engage in the shaping of technical and policy measures in the development and deployment of AI systems. We are a digital-first civil society organization that brings together a diversity of individuals from different disciplines, areas of expertise, and geographic regions. 

Pranveer Singh Institute of Technology 

There is a future we believe in, fostered by strong souls and inventive minds. We believe, the way to usher in change, is to empower young minds with a stellar education, thus creating the enablers of tomorrow…PSIT stands out as a premier centre of higher learning with a mission of pursuing excellence in education and research. The various departments, with their diverse and dynamic community of students, accomplished faculty offer a distinctive combination of some of the finest undergraduate and postgraduate programs, world class facilities and a residential campus set on a sprawling 80 acres of sylvan surroundings.

Penn State – Great Valley

Penn State Great Valley offers master’s degrees and graduate certificates in data analytics, technology, engineering, leadership, finance, and business. We pride ourselves on our highly-rated programs that teach students valuable practical skills through immersive learning. Faculty engage in cutting-edge research and work with a variety of corporate, government, and educational organizations. Our diverse student population has a multitude of opportunities to engage in research and apply their knowledge outside of the classroom, bridging the gap between theory and practice. Courses are offered in a flexible format to accommodate the demands of work, family, and life in general.

Welcome New Members!

We look forward to partnering with these new LF AI Foundation members to help support open source innovation and projects within the artificial intelligence (AI), machine learning (ML), and deep learning (DL) space. Welcome to our new members!

Interested in joining the LF AI community as a member? Learn more here and email membership@lfai.foundation for more information and/or questions. 

LF AI Resources

Join Us at the First AI for People Workshop!

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Guest Author: Marta Ziosi from AI for People, an LF AI Foundation Associate Member – Originally posted on Medium.com

We’re excited to announce the first AI for People Workshop, which will be held on August 8th and 9th from 9:30 – 18:00 Central European Time (CET). The event will be held online and is entirely free. Register here.

AI for People was born out of the idea of shaping Artificial Intelligent technology around human and societal needs. We believe that technology should respect the anthropocentric principle. It should be at the service of people, not vice-versa. In order to foster this idea, we need to narrow the gap between civil society and technical experts. This gap is one in knowledge, in action and in tools for change.

In this spirit, we want to share our knowledge through a hands-on workshop with everyone. We are glad to announce 7 speakers offering talks of a diversity of topics about and around Artificial Intelligence. There are 2 basic courses which require little to no programming experience, 4 advanced courses with varying degree of technical depth and one invited speaker.

The Schedule:

Please note: All times are in CET (Central European Time).

The Topics and Speakers:

A hands-on Exercise in Natural Language Processing. The lecturer Philipp Wicke will give a brief introduction to Natural Language Processing (NLP). This lecture is very practice-oriented and Philipp will show an example of topic modeling on real data. Click here for more details.

Introduction to AI Ethics. Our chair Marta Ziosi will provide a broad introduction to the topics ethically relevant to AI development. Whether you have a technical or social science background, this course will present you with the trade-offs that technology faces society with and it will provide you with the conceptual tools relevant to the field of AI ethics. Click here for more details.

Open-Source AI. Our invited speaker Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation, will talk about open source AI. Click here for more details.

Coding AI. The lecturer Kevin Trebing will give an introduction on how to create AI applications. For this, you will learn the basics of PyTorch, one of the biggest AI frameworks next to TensorFlow. Click here for more details.

Cultural AI. Maurice Jones will outline how the meaning of AI as a technology is socially constructed and which role cultural factors play in this process. He will give a practical example on how different cultures create different meanings surrounding technologies. Click here for more details.

Creative AI. The lecturer Gabriele Graffieti will give an introduction on creative AI, what it means for an artificial intelligence to be creative and how to instill creativity into the training process. In this lecture we’ll cover in detail generative models and in particular Generative Adversarial Networks. Click here for more details.

Continual AI. The lecturer Vincenzo Lomonaco will give a brief introduction to the topic of Continual Learning for AI. This lecture is very practice-oriented and based on slides and runnable code on Google Colaboratory. You will be able to code and play alongside the lecture in order to acquire the basic knowledge and skills. Click here for more details.

The course is free for everyone, yet we ask you to register in advance. As a non-profit organisation all of our work and effort is voluntary. If you like the workshop, we suggest a donation of 15€ for the entire workshop.

Attendance is limited through the virtual classroom and entry is based on first-registered-first-served, therefore we ask you to register as soon as possible: 

REGISTER NOW

If you have any questions, feel free to contact us at aiapplications@aiforpeople.org .

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

Thank you for Joining the LF AI Foundation at OSS+ELC NA 2020!

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Thank you to everyone who joined us last week at Open Source Summit + Embedded Linux Conference North America 2020! 

The event was held virtually this year, with over 4,100 people from over 109 countries attending! 

The AI/ML/DL Track was well attended, with several AI industry leaders sharing knowledge and insights, and engaging with attendees in several great discussions, both during the sessions and afterwards in the official OSS+ELC Slack workspace.

Miss the sessions? If you registered for OSS NA, you can always view all of the session recordings on demand on the virtual event platform anytime. Or check back on the OSS NA website for a link to all of the sessions recordings on YouTube soon.

The virtual LF AI Foundation booth was also a hit! We had over 300 people visit the booth and interact with our LF AI community members who were staffing the booth. Visitors were also able to download resources to learn more about each of LF AI’s projects, and they were able to give us insight into what type of projects they want to see in the future through our attendee survey.

On the final day of the conference, we hosted our LF AI Mini Summit. Our presenters covered the latest updates from the Foundation, Technical Advisory Council, Trusted AI Committee, and more. We had over 160 people attend the Summit, and received a lot of interest in what the LF AI Foundation is doing. We’re looking forward to more engagement opportunities with the community in the future. 

Miss the Summit? If you registered for OSS NA, you can always view the Summit recording on demand on the virtual event platform anytime. Or check back on the OSS NA website for a link to all of the sessions recordings on YouTube soon.

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

LF AI 2020 Mid Year Review

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2020 has been a busy year for the LF AI Foundation (LF AI) and we are thrilled to see the continued enthusiasm among the overall community and the growth of our hosted technical projects. With half the year behind us, we’re taking a moment to reflect on the key highlights. 

Members

LF AI launched two years ago with ten members, and is now at a total of 24 members across our Premier, General, and Associate levels. In the first half of 2020, we’ve seen extra momentum in our Associate member category, with several educational institutions joining us; including Montreal AI Ethics Institute, Pranveer Institute of Technology, and Penn State Great Valley. We also welcomed two non-profit organizations, AI for People and Ambianic.ai who have both been very active among the LF AI community right away.

It’s been great to see a diverse group of companies getting involved within LF AI across various industries. We welcome those interested in contributing to the support of open source projects within the artificial intelligence (AI), machine learning (ML), and deep learning (DL) space to learn more about membership opportunities here

Technical Projects 

Our technical project portfolio grew to twelve projects; of which three are Graduated and nine are Incubating. At the end of June, the LF AI Technical Advisory Council (TAC) approved three additional Incubating projects in the Trusted AI space; these projects are undergoing onboarding into the Foundation and will be formally announced soon, stay tuned! The TAC is continually working to bring in new open source projects, if you are interested in hosting a project with LF AI, check out the proposal process here and email info@lfai.foundation to further discuss.

Interactive Landscape

The launch of the LF AI Interactive Landscape has continued to be a great tool to gain insights into how LF AI projects, among many others, fit into the space of open source AI, ML, and DL. As of the end of June, the landscape covers 248 projects coming from over 130 founding organizations universities. These projects collectively earned over 1.4 million GitHub Stars, and cover over 450 millions lines of code coming from over 30 thousand developers! Explore the landscape and please reach out to help us expand it with your own open source project or let us know of other projects that should be included by emailing info@lfai.foundation.

Initiatives

We are excited to have seen participation increase in two key initiatives. The ML Workflow & Interop Committee, is focused on defining an ML Workflow and promoting cross project integration and interoperability. The Trusted AI Committee is focused on creating policies, guidelines, tooling, and use cases by industry in this very important space. Both of these committees are open for participation and we welcome anyone interested to join the conversations by subscribing to the mail lists or attending an upcoming meeting; check out their wiki pages for more information. 

Events 

Despite the challenges that COVID-19 has presented with in person gatherings, our community did not let that prevent them from moving forward with their planned events and instead pivoted to virtual formats. There have been two LF AI Days this year; the first being focused on an ONNX Community Virtual Meetup, followed by a Virtual LF AI Day EU for those based in that region. LF AI Days are regional, one-day events hosted and organized by local members with support from LF AI and its projects. Visit our LF AI Events page for more details on upcoming events and be sure to join us for one soon!

Community

The LF AI community continues to grow! If you haven’t already, check out below a few ways to stay connected with LF AI:

Onward

We are excited to see what the second half of 2020 brings and how LF AI can influence the AI, ML, and DL space; we hope you will be a part of the journey! Check out our How to Get Involved Guide or email us at info@lfai.foundation for any questions on how to participate.

LF AI Resources

sparklyr 1.3.0 Now Available!

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Sparklyr, an LF AI Foundation Incubation Project, has released version 1.3.0! Sparklyr is an R Language package that lets you analyze data in Apache Spark, the well-known engine for big data processing, while using familiar tools in R. The R Language is widely used by data scientists and statisticians around the world and is known for its advanced features in statistical computing and graphics. 

In version 1.3.0, sparklyr adds a variety of improvements; highlights include:

  • Now supports seamless integration of Spark higher-order functions with R (similar to how dplyr allows R users to compose clear and concise data-manipulation verbs instead of long SQL queries)
  • After seeing popular demand for Apache Avro functionalities in sparklyr, spark_read_avro, spark_write_avro, sdf_from_avro, and sdf_to_avro methods are implemented to make working with Apache Avro simpler for sparklyr users (context: Apache Avro is a popular data serialization format that combines flexibility of JSON schema definition with efficiency of binary serialization of data columns)
  • It is now also possible to run user-defined R serialization and deserialization procedures on Spark worker nodes through sparklyr
  • As usual, creating new features wasn’t the only focus for the sparklyr 1.3 release. There were also a number of crucial bug fixes (as outlined in https://github.com/sparklyr/sparklyr/pull/2550)

The power of open source projects is the aggregate contributions originating from different community members and organizations that collectively help drive the advancement of the projects and their roadmaps. The sparklyr community is a great example of this process and was instrumental in producing this release. The sparklyr team wanted to give a special THANK YOU to the following community members for their contributions via pull requests (listed in chronological order):

Contributions take many forms, roadmap input for sparklyr 1.3 from Javier Luraschi ([#2434 and #2552). And great insight from @mattpollock and @benmwhite on several issues (#1773, #2514). Truly a great team effort for this release! 

To learn more about the sparklyr 1.3.0 release, check out the full release notes. Want to get involved with sparklyr? Be sure to join the sparklyr-Announce and sparklyr Technical-Discuss mailing lists to join the community and stay connected on the latest updates. 

Congratulations to the sparklyr 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.

sparklyr Key Links

LF AI Resources

Join LF AI at AI Open Day – July 4, 2020

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Join the LF AI Foundation at the AI Open Day in Shenzhen, China on July 4, 2020. This event is hosted by GDG and OSTech and LF AI is thrilled to participate in this series again. 

Come listen to representatives of five member companies (Baidu, Huawei, Tencent, ZILLIZ, and ZTE) from the LF AI Foundation who will share their AI experiences, present the problems they’re facing, and discuss how they go about solving them.

As the foundation and common tool set in AI development, the artificial intelligence framework can solve many practical problems, whether it is in academic research or tedious work in social production activities. LF AI Foundation member companies were invited to discuss these issues at the first AI Open Day series of events in May. Now, we will continue the discussion to review the progress and latest information regarding these topics.

Registration is now open and the event is free to attend. 

The venue will be mainly on-site in Shenzhen, China plus on-line virtual. (Note: In-country logistics and COVID-19 policies, we follow the Shenzhen, China city government published practices).

AI OPEN DAY AGENDA:

  • 13:30-14:00: Registration
  • 14:00-14:10: Opening
  • 14:10-14:40: ZTE AI platform senior engineer, Tao Liu: An end-to-end toolchain for accelerating practice of AI applications
  • 14:40-15:10: Qichacha architect, Mr. Chen & Zilliz senior architect, Mr. Gu: How Milvus helps real-time incremental text deduplication tasks (online)
  • 15:10-15:40: Huawei MindSpore open source engineer, Ivy He: An Introduction to the MindSpore Deep Learning Framework
  • 15:40-16:00: Free communication. Group photo.
  • 16:00-16:30: Principal architect in Baidu, Mr. Dong: Industrial practice of large scale distributed training in PaddlePaddle (online)
  • 16:30-17:00: Tencent senior engineer, Mr Xiao: Angel FL: Secure Federated Learning and Its Applications
  • 17:00-17:30: Free communication.

LF AI Resources

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