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NNStreamer 1.6.0 Release Now Available!

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NNStreamer, an LF AI Foundation Incubation-Stage Project, has released version 1.6.0. NNStreamer is a set of Gstreamer plugins that support ease and efficiency for Gstreamer developers adopting neural network models and neural network developers managing neural network pipelines and their filters.

In version 1.6.0, NNStreamer adds a variety of improvements; highlights include:

  • New hardware accelerators and neural network frameworks support added: Verisilicon-Vivante, Qualcomm-SNPE, NNFW-ONE-Runtime, and Tensorflow2-lite.
  • Data serialization support with flatbuf and protobuf.
  • Android APIs optimized (i.e., invoke latency in Galaxy S20: 2ms → 0.1ms)
  • Plug-and-play sub-plugins support for tensor-converters
  • Hardware acceleration configuration reworked: multiple candidates may be expressed and options may be altered in run-time.
  • Fixes, semantics updates, and minor features added after commercialization (Galaxy Watch 3 and a few “next-year” products and Tizen 6 releases).

The NNStreamer Project invites you to adopt or upgrade to version 1.6.0 in your application, and welcomes feedback. To learn more about the NNStreamer 1.6.0 release, check out the change log and full release notes. Want to get involved with NNStreamer? Be sure to join the  NNStreamer-Announce and NNStreamer-Technical-Discuss mail lists to join the community and stay connected on the latest updates.

Congratulations to the NNStreamer 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.

NNStreamer Key Links

LF AI Resources

3 Trusted AI Toolkits Join LF AI as Newest Incubation Projects

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LF AI Foundation (LF AI), the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), today is announcing 3 Trusted AI Toolkits as its latest Incubation Projects: AI Fairness 360 Toolkit, Adversarial Robustness Toolbox, and AI Explainability 360 Toolkit. All 3 toolkits were originally released and open sourced by IBM

AI Fairness 360 Toolkit

The AI Fairness 360 (AIF360) Toolkit is an open source toolkit that can help detect and mitigate unwanted bias in machine learning models and datasets. With the toolkit, developers and data scientists can easily check and mitigate for biases at multiple points along their machine learning lifecycle, using the appropriate fairness metrics for their circumstances. It provides metrics to test for biases, and algorithms to mitigate bias in datasets and models. The AI Fairness 360 interactive experience provides a gentle introduction to the concepts and capabilities. Recently, AIF360 also announced compatibility with Scikit Learn, and an interface for R users.

Adversarial Robustness 360 Toolbox

The Adversarial Robustness 360 (ART) Toolbox is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to evaluate, defend and verify Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, generation, certification, etc.).

AI Explainability 360 Toolkit

The AI Explainability 360 (AIX360) Toolkit is a comprehensive open source toolkit of diverse algorithms, code, guides, tutorials, and demos that support the interpretability and explainability of machine learning models. The AI Explainability 360 interactive experience provides a gentle introduction to the concepts and capabilities by walking through an example use case for different consumer personas.

See IBM’s full announcement on the donation here. Since IBM’s donation, we are pleased to announce that the Trusted AI projects have been approved by the LF AI TAC and have now been formally moved into the LF AI Foundation, complete with all the legal formalities, new logos, websites and GitHub locations.

Dr. Ibrahim Haddad, Executive Director of LF AI, said: “We are very pleased to welcome these Trusted AI open source projects to LF AI. For the past year, the Trusted AI Committee at LF AI has been actively working on building its community and defining a set of principles that AI software is expected to honor. With the addition of these three tools, our efforts now have a venue to codify these principles and provide an opportunity to collaborate on the code with the global community under a vendor-neutral and open governance. We look forward to supporting these projects and helping them to thrive and grow their community of adopters and contributors.” 

LF AI supports projects via a wide range of benefits; and the first step is joining as an Incubation Project. LF AI will support the neutral open governance for these Trusted AI projects to help foster the growth of the projects. 

“At IBM, at our core, we believe in the fair and equitable use of technology and this is especially true of artificial intelligence. Developers must ensure applications are built with trust and transparency,” said Todd Moore, Vice President, Open Technology, IBM, “Our AI Fairness toolkits and Watson OpenScale are enabling developers and data scientists to address bias, and explain the behavior of our models. By open sourcing IBM’s Adversarial Robustness 360, AI Fairness 360, and AI Explainability 360 toolkits through The LF AI Foundation, we all can advance the technology, in an open governance community and encourage the best and brightest to collaborate on one of the most pressing issues in this technological area.”

Trusted AI Video Series

To learn more about the Trusted AI projects, take a look at the 7-episode video series on YouTube, created by Anessa Petteruti (Computer Science senior at Brown University) in collaboration with LF AI:

EPISODE 1: Introducing Trusting AI: Unlocking the Black Box with Animesh Singh 

Artificial intelligence unlocks countless possibilities for the human race. But is there a darker side to the technology? In the opening episode of Trusting AI: Unlocking the Black Box, Animesh Singh, Chief Architect of the Artificial Intelligence and Machine Learning OSS Platform at IBM, introduces IBM and the Linux Foundation’s Trusted AI efforts.

EPISODE 2: Trusted AI Research with Aleksandra Mojsilović

Learn specifically about research conducted for Trusted AI in this interview with the Foundations of Trusted AI Lead, Aleksandra Mojsilović. Dr. Mojsilović, an IBM Fellow, also co-directs IBM’s Science for Social Good.

EPISODE 3: AI Explainability and Factsheets with Michael Hind

Michael Hind, Distinguished Research Staff Member at IBM Research AI, discusses one of Trusted AI’s toolboxes, AI Explainability 360, as well as AI Factsheets 360 in depth.

EPISODE 4: Ethical AI in Higher Education with Michael Littman

Universities all over the world have taken efforts to incorporate ethical teachings into artificial intelligence and machine learning courses. In Providence, Rhode Island, Professor Michael Littman of Brown University discusses AI ethics in higher education and the computer science department’s Responsible CS program.  

EPISODE 5: Adversarial Robustness with Mathieu Sinn

Artificial intelligence presents numerous benefits as well as security vulnerabilities. Mathieu Sinn, Senior Technical Staff Member and Manager of AI Security and Privacy at IBM, delves into Trusted AI’s Adversarial Robustness Toolbox and the program’s efforts to combat cyber attacks in AI.

EPISODE 6: Open Source and the Linux Foundation with Ibrahim Haddad

Ibrahim Haddad, Vice President of Strategic Programs at the Linux Foundation and Executive Director of LF AI, discusses the importance of open source in software development, specifically artificial intelligence.

EPISODE 7: Trusted AI in Production and MLOps with Tommy Li and Andrew Butler

How can developers use Trusted AI in their own projects? Find out from IBM software engineers Tommy Li and Andrew Butler who guide you through MLOps and using Trusted AI in production.

Get Involved

Check out the Trusted AI GitHub for Getting Started guides to start working with these projects today. Learn more about the Trusted AI toolkits on their websites (AI Fairness 360, AI Explainability 360, Adversarial Robustness Toolbox) and be sure to join the Trusted-AI-360-Announce and Trusted-AI-360-Technical-Discuss mail lists to join the community and stay connected on the latest updates. 

A warm welcome to these Trusted AI projects! We look forward to the projects’ continued growth and success as part of the LF AI Foundation. To learn about how to host an open source project with us, visit the LF AI website.

Trusted AI Key Links

LF AI Resources

Join the LF AI Foundation at OSS+ELC Europe 2020

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The LF AI Foundation is excited to announce our participation at the upcoming Open Source Summit + Embedded Linux Conference Europe 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 EU. Join these sessions to learn the latest updates from our projects and hear from leaders in the AI industry. Register for OSS EU to attend.

Chat with us in the Virtual Exhibit Hall!

Come chat with us in the virtual exhibit hall at OSS EU. 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. Also hear the latest updates from our ONNX, Amundsen, Angel and Marquez projects. We look forward to uncovering new collaboration opportunities among our growing community. 

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

The LF AI Mini Summit is co-located with the Open Source Summit EU and will be held virtually on Thursday, October 29 at 14:00 – 15:30 Greenwich Mean Time Zone (GMT). You will need to be registered for OSS EU to attend. OSS EU 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

LF AI Foundation Announces Graduation of Horovod Project

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The LF AI Foundation, the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), is announcing today that hosted project Horovod is advancing from an Incubation level project to a Graduate level. This graduation is the result of Horovod demonstrating thriving adoption, an ongoing flow of contributions from multiple organizations, and both documented and structured open governance processes. Horovod has also achieved a Core Infrastructure Initiative Best Practices Badge, and demonstrated a strong commitment to community.

As an Incubation Project, Horovod utilized the LF AI Foundation’s various enablement services to foster its growth and adoption; including program management support, event coordination, legal services, and marketing services ranging from website creation to project promotion. 

Horovod is a distributed training framework for TensorFlow, Keras and PyTorch, which improves speed, scale and resource allocation in machine learning training activities. It was open sourced by Uber, the project founder, and joined LF AI as an Incubation Project in December 2018. 

“The journey of Horovod from Incubation to Graduation has been very impressive,” said Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation. “The speed of development, the growth of its community, and its wide adoption is particularly noteworthy.  Horovod has exceeded all of our graduation criteria and we’re proud to be its host Foundation and to support them across a number of services. As a Graduate project, our support to Horovod will continue to increase as needed. This graduation is our way to present Horovod as an advanced and mature open source technology ready for large scale deployments. Congratulations, Horovod!”

Uber uses Horovod for self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA. Contributors to the project outside Uber include Amazon, IBM, Intel and NVIDIA. 

“Since joining the LFAI, Horovod has developed into the industry-standard for training deep neural networks at scale, in every framework and on every platform,” said Travis Addair, Technical Lead for the Horovod project. “It’s a continued honor to collaborate with and learn from Horovod’s many exceptional contributors from across the deep learning community. This graduation is a major milestone for the Horovod project, and an acknowledgement of all the hard work and collaboration our contributors have put forward to make this project a success. As a graduated project, I am looking forward to broadening the reach of our community even further, working towards the goal of making deep learning training simple and intuitive to scale.”

Feature Roadmap for 2020

  • Elastic Training / Fault Tolerance
  • Horovod on Ray + Ray Tune Integration
  • Ludwig + Horovod Spark Estimator integration
  • TensorFlow / General Horovod Spark Estimator
  • MXNet Horovod Spark Estimator (Amazon)
  • Horovod Plugin Architecture (NVIDIA)
  • Horovod Spark Dynamic GPU Allocation (NVIDIA)

Curious about how Horovod can make your model training faster and more scalable? Try out the framework now. And be sure to join the Horovod Announce and Horovod Technical-Discuss mailing lists to join the community and stay connected on the latest updates. 

Congratulations to the Horovod 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.

Horovod Key Links

LF AI Resources

IBM Upgrades to Premier Membership

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The LF AI Foundation is pleased to announce that IBM has upgraded its membership from General to Premier, granting it a seat on the LF AI governing board and a voting representative on every LF AI committee. IBM now joins other leading technology companies such as AT&T, Baidu, Ericsson, Huawei, Nokia, Tech Mahindra, Tencent, Zilliz and ZTE as a Premier Member, enabling and supporting a sustainable open source AI ecosystem. 

Premier membership is the LF AI’s highest tier of membership, reserved for organizations who contribute heavily to the open source artificial intelligence (AI), machine learning (ML), and deep learning (DL) space. These organizations, along with members at the General and Associate levels, work in concert with LF AI team members, to take the most active role in enabling open source AI, ML and DL, growing the ecosystem, facilitating collaboration and integration efforts across projects, and spearheading efforts in areas such as interoperability, ethical and responsible AI. Learn more about joining LF AI here.

IBM has been actively involved in the LF AI Foundation since its inception, participating in its various committees and recently contributing three projects for incubation. We’re thrilled to see IBM’s continued commitment to the LF AI mission, and we look forward to partnering in this new capacity to help support open source innovation and projects within the AI, ML and DL space.

“The LF AI Foundation has created an environment that is truly advancing trustworthy artificial intelligence within the open source community,” said Todd Moore, IBM Vice President, Open Technology, “Increasing IBM’s support level to now be a Premier Member of the LF AI Foundation will aid the community and advance the future of AI.”

LF AI’s Growing Portfolio

The LF AI Foundation now has 17 hosted projects, with over 50 companies, 20 universities and 1,150 active developers contributing to these projects. In addition to our growing project portfolio, we’ve also seen significant increased participation in two key initiatives: The LF Workflow & Interop Committee and the Trusted AI Committee.

The ML Workflow & Interop Committee is focused on defining a standardized ML Workflow implemented with open source projects and tools, 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. 

LF AI Membership

The LF AI Foundation now has 24 members who have hit the ground running in their engagement across the Premier, General, and Associate membership levels. We’ve seen a diverse group of companies getting involved across various industries and we welcome those interested in contributing to the support of open source projects within the AL, ML and DL space. You can think of LF AI as a greenhouse growing and sustaining open source AI, ML, and DL projects from seed to fruition. Interested in becoming a member of LF AI? Learn more membership opportunities here or email membership@lfai.foundation.

The LF AI Foundation’s 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.

LF AI Resources

Join the LF AI Foundation at ONES 2020

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The LF AI Foundation is excited to announce our participation at the upcoming Open Networking & Edge Summit 2020! The event will be held virtually on September 28 – 30, and registration is only US$50.

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

Visit us at the LF AI Virtual Booth

Come chat with us at our virtual booth at ONES! Various LF AI community members will be available 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 our Session: The Making of 5G with AI & Open Source

We invite you to join LF AI Foundation Executive Director, Ibrahim Haddad, along with Mazin Gilbert, Vice President of Technology & Innovation at AT&T, for their session, “The Making of 5G with AI & Open Source”. 

The session will be on Monday, September 28 at 2:00 – 2:30pm Eastern Daylight Time (UTC -4). You will need to be registered for ONES in order to attend the session. More details on the session are below.

Over the next decade, we will be transformed by new revolutionary experiences that will radically change the way we work, live and play. The marriage of 5G with edge cloud will enable holograms for gatherings and meetings, mobile and untethered xR experiences for gaming and remote surgery, and immersive experiences for digital shopping. These experiences can only be brought to life through an intelligent 5G network that employs AI and open interfaces to enable zero-touch network automation, and elasticity to optimize traffic flow and spectrum. In this talk, Mazin will present the making of 5G with AI and Open Source as foundational elements to enable these next generation experiences and network automation. The role of ORAN-SC, ONAP, Akraino and Acumos-AI will be discussed.

Join us by registering to attend Open Networking & Edge Summit – Register Now

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

Amundsen Joins LF AI as New Incubation Project

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LF AI Foundation (LF AI), the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), today is announcing Amundsen as its latest Incubation Project. 

Amundsen is a data discovery and metadata engine for improving the productivity of data analysts, data scientists and engineers when interacting with data. It does that today by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. highly queried tables show up earlier than less queried tables). Think of it as Google search for data. The project is named after Norwegian explorer Roald Amundsen, the first person to discover the South Pole. Amundsen was released and open sourced by Lyft

Dr. Ibrahim Haddad, Executive Director of LF AI, said: “We are very excited to welcome Amundsen to LF AI and help it thrive in a neutral, vendor-free environment under an open governance model. With the addition of Amundsen, we are increasing the number of hosted projects under the Data category and look forward to tighter collaboration between our data projects and all other projects to drive innovation in data, analytics, and AI open source technologies.” LF AI supports projects via a wide range of services, and the first step is joining as an Incubation Project. 

Mark Grover, co-creator of Amundsen, said: “Becoming a part of the LF AI Foundation is a big milestone for the project in its journey towards becoming the de-facto open-source data discovery and metadata engine. It’s been amazing to see the adoption of Amundsen at Lyft, as well the growth of its open source community, which now has over 750 members. I am excited to see the project’s continued growth and success with the support of the LF AI Foundation.” 

Amundsen, which is published under the Apache License, Version 2.0, includes three microservices, one data ingestion library and one common library (full code):

  • amundsen: Central repo for Amundsen.
  • amundsenfrontendlibrary: Frontend service which is a Flask application with a React frontend.
  • amundsensearchlibrary: Search service, which leverages Elasticsearch for search capabilities, is used to power frontend metadata searching.
  • amundsenmetadatalibrary: Metadata service, which leverages Neo4j or Apache Atlas as the persistent layer, to provide various metadata.
  • amundsendatabuilder: Data ingestion library for building metadata graph and search index. Users could either load the data with a python script with the library or with an Airflow DAG importing the library.
  • amundsencommon: Amundsen Common library holds common codes among microservices in Amundsen.

The project’s growing user community now includes Lyft, ING, Square, Workday, Asana, iRobot, Edmunds.com, and many more. Amundsen started off with enabling discovery and exploration of data sets, but since then has added dashboards and people in its metadata graph. It integrates with a large ecosystems of data stores, dashboarding tools, and orchestration tools (like Airflow). You can learn more about Amundsen at amundsen.io.

Bolke de Bruin, VP Engineering Advanced Analytics at ING Wholesale Banking, said: “At ING we are early adopters of and contributors to Amundsen, the Google search for data, created by Lyft. When we got in touch with the Lyft team in September 2018, we were immediately captured by their vision. In the metadata space many applications focus on data governance. This is important, but only of limited use for data scientists, analysts and engineers. Amundsen is focused on increasing the productivity of these data users and reducing the friction they face while trying to find and understand the data they work with. At ING, Amundsen is part of our data analytics platform, which targets 50% of the company as its users. Amundsen is key in reaching this target as it’s lowering the barrier to entry. 500 users make use of Amundsen daily and this number is continuously growing.”

Chris Martin, VP of Data, Science & ML at Lyft, said: “Amundsen has become a crucial part of data science and analyst workflows, being used by over a thousand users every month. It has significantly improved productivity and trust in data for data users at Lyft.”

LF AI will support the neutral open governance for Amundsen to help foster the growth of the project. Check out the User Guide to start working with Amundsen today. Learn more about Amundsen on their website and be sure to join the Amundsen-Announce and Amundsen-Technical-Discuss mail lists to join the community and stay connected on the latest updates. 

A warm welcome to Amundsen! We look forward to the project’s continued growth and success as part of the LF AI Foundation. To learn about how to host an open source project with us, visit the LF AI website.

Amundsen Key Links

LF AI Resources

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