The LF AI Foundation (LF AI) is excited to be part of the ITU AI/ML in 5G Challenge as a promotion partner. The challenge is focused on finding solutions to relevant problems in 5G through the use of Artificial Intelligence (AI) and Machine Learning (ML). The global challenge theme is “How to apply ITU’s ML architecture in 5G networks”.
A few words from ITU on the challenge, “ITU invites you to participate in the ITU Artificial Intelligence/Machine Learning in 5G Challenge, a competition which is scheduled to run from now until the end of the year. Participation in the Challenge is free of charge and open to all interested parties from countries that are a member of ITU”. LF AI looks forward to following the challenge and encourages your participation. Learn more by visiting the ITU AI/ML in 5G Challenge website, and submit interest from now until April 30th.
IBM, ONNX, and the LF AI Foundation are pleased to sponsor the upcoming LF AI Day* – ONNX Community Virtual Meetup – Silicon Valley 2020, to be held via Zoom on April 9th from 9am-12pm PT.
ONNX, an LF AI Foundation Graduated Project, is an open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them.
The virtual meetup will cover ONNX Community updates, partner/end-user stories, and SIG/WG updates. Check out the full agenda here. If you are using ONNX in your services and applications, building software or hardware that supports ONNX, or contributing to ONNX, you should attend! This is a great opportunity to connect with and hear from people working with ONNX across many companies.
Registration is now open and the event is free to attend. Capacity will be 500 attendees. For up to date information on this virtua meetup, please visit the event website.
Note: In order to ensure the safety of our event participants and staff due to the Novel Coronavirus situation (COVID-19) the ONNX Steering Committee decided to make this a virtual-only event via Zoom.
*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.
Pyro, an LF AI Foundation Incubation Project, has released version 1.3 and we’re thrilled to see another great release from the community. Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling.
In version 1.3, Pyro adds a variety of improvements, including:
A forecasting module for multivariate hierarchical heavy-tailed time series
An AutoNormalizingFlow guide
Subsample-compatible AutoNormal and AutoDelta guides
Congratulations to the Pyro 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.
We are thrilled to welcome three new members to the LF AI Foundation – RStudio, The International Society of Service Innovation Professionals, and inwinStack. Learn a bit more about these organizations:
RStudio joins LF AI as a General member. RStudio open source and enterprise-ready, professional software combines robust and reproducible data analysis with tools to effectively share data products. The flagship professional products RStudio Server Pro, RStudio Connect, and RStudio Package Manager equip professional data science teams to develop and share their work at scale.
inwinSTACK joins LF AI as a General member. inwinSTACK is a leading provider of IT solutions based on open source cloud-native softwares. They offer enterprise-grade services of consulting, training, IaaS integration and deployment, system maintenance and support that ensure clients’ success on their digital transformation journey and ability to stay ahead in the rapidly evolving data-driven world of smart, innovative technologies.
ISSIP joins LF AI as an Associate member. The International Society of Service Innovation Professionals, ISSIP (pronounced iZip), is a 501 (C) (3) professional association co-founded by IBM, Cisco, HP and several Universities with a mission to promote Service Innovation for our interconnected world. Their purpose is to help institutions and individuals to grow and be successful in our global service economy.
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 LF AI as a member community? Learn more here.
The 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 sparklyr as its newest Incubation Project. 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.
sparklyr makes using and extending Apache Spark more accessible by providing access to core functionality like installing, connecting and managing Spark and using Spark’s MLlib, Spark Structured Streaming, and Spark Pipelines from R. sparklyr supports connecting to local and remote Apache Spark clusters, provides an interface to Spark’s built-in machine learning algorithms, supports for executing custom R code across Spark clusters, and building multiple extensions to use Spark from R like H2O, XGBoost, GraphFrames, MLeap and more.
“We are extremely pleased to welcome sparklyr to LF AI. Connecting key tools and functionality is critical to growing the open source AI ecosystem, as well as supporting them into long term sustainability under a neutral, vendor-free, and open governance,” said Dr. Ibrahim Haddad, Executive Director of LF AI. “We look forward to fostering new collaborations and possible integrations with existing LF AI projects, such as enabling support for Horovod in R with sparklyr and enabling support to export models and pipelines with ONNX.”
LF AI provides a wide range of services to projects, and the first step is starting as an Incubation Project. Full details on why you should host your open source AI project with us are available here.
“We are very excited to have sparklyr join LF AI and to renew our ongoing commitment to the project. Hosting sparklyr with LF AI within the Linux Foundation enables more organizations to contribute to sparklyr, which benefits the R community by bringing additional talent, ideas, and shared components from other Linux Foundation projects like Delta Lake, Horovod, ONNX, and so on.” said Javier Luraschi, Software Engineer at RStudio, Inc. “Joining LF AI is a big step forward for sparklyr and a great time for you to join this community, contribute, and help sparklyr grow in 2020 and beyond!
sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory. This enables you to use dplyr code to analyze large datasets in Apache Spark without having to rewrite R code.
For more information on getting involved immediately with sparklyr, please see the following resources.
As we look back to 2019, it’s clear to see that The LFAI Foundation (LF AI) had a year of great momentum and growth, and we couldn’t be more excited for the continued success in the coming year. Check out the 2019 year in review highlights below and if you’re not already involved, we’d love to have you join the LF AI Community!
LF AI members grew by 8 companies 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 artificial intelligence (AI), machine learning (ML), and deep learning (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 joining LF AI as a member? Learn more here.
The LF AI portfolio of projects increased by 5 new projects, 1 at the Graduate level and 4 at the Incubation level. Projects included ONNX, Pyro, Adlik, sparklyr, and Marquez. We were thrilled to also see Incubation Project Angel move to Graduate level as well. Interested in hosting your open source project with LF AI? Learn more here.
You can also explore how LF AI projects, among many others, fit into the space of open source AI, ML, and DL projects by visiting the LF AI Interactive Landscape.
Through the great contributions across the LF AI Community we launched two very important initiatives, an ML Workflow Working Group and a Trusted AI Committee. Both of these initiatives are open for participation and we encourage anyone interested to join the conversations by joining the mail lists or attending an upcoming meeting.
The ML Workflow Working Group kicked off within the LF AI Technical Advisory Council (TAC) with the goal of defining an ML Workflow and to promote cross project integration. This working group meets bi-weekly on Thursdays, from 7:30-8:00 am PT. Please join the mail list and visit the ML Workflow Wiki to learn more about participating.
The Trusted AI Committee was also launched and we are seeing continued growth of interest in what is a very hot topic in the AI, ML, and DL space. The committee goals are to create policies, guidelines, tooling, and use cases by industry; among others. This committee meets bi-weekly on Thursdays from 7:00-7:45 am PT. Please join the mail list and visit the Trusted AI Wiki to learn more about participating.
Last year we rebranded the foundation from LF Deep Learning to LF AI Foundation and continued efforts throughout the year to increase communication and collaboration within the LF AI Community. If you haven’t connected with us across these channels please do so!