AI_dev: Open Source GenAI & ML Summit Europe

Call For Proposals (CFP)


AI_dev: Open Source GenAI & ML Summit is the nexus where developers converge to shape the future of open-source AI innovation.

Please be aware that the Linux Foundation will now be utilizing Sessionize for CFP submissions. Sessionize is a cloud-based event content management software designed to be intuitive and user-friendly. If you need guidance, please review how to submit your session for an event to see step-by-step instructions and helpful screenshots.

dates to remember

  • CFP Closes: Tuesday, March 5 at 12:00 AM PST (UTC+2)/ 0900 AM CET (UTC+1)
  • CFP Notifications: Monday, April 8
  • Schedule Announcement: Wednesday, April 10
  • Slide Due Date: Monday, June 17
  • Event Dates: Wednesday, June 19 – Thursday, June 20, 2024

AI_Dev suggested topics

Foundations, Frameworks and Tools for Machine Learning
  • Unlocking Interoperability: A Deep Dive into ONNX and PMML
  • Seamless Pipelines: Strategies for Bridging Multiple ML Frameworks
  • Graph Neural Networks: Applications and Challenges
  • Differentiable Programming: A New Horizon in ML Applications
  • Future-Proofing ML Deployments: Emerging Tools for Interoperable Models
  • The Role of APIs in Machine Learning Interoperability
MLOps, GenOps and DataOps
  • GitOps for Machine Learning: Version Control for ML Models
  • AIOps: AI for IT Operations
  • Scaling Kubernetes Clusters for Generative Models
  • GenOps: End-to-end Workflows for LLMs and Generative Models
  • End-to-End MLOps with MLFlow and KubeFlow
  • AI in Continuous Testing and Validation
  • Data Lineage in Machine Learning Pipelines
  • Model Compression Techniques for Efficient Deployment
  • Effectively Scaling Machine Learning Models
  • Model Observability and Monitoring in Production 
  • Interoperability in the Cloud: MLOps Strategies for Multi-Cloud Deployments
Generative AI and Creative Computing
  • Text-to-Image Synthesis: Applications and Techniques with Diffusion Models
  • Generative AI Application Frameworks: Rapidly Building AI Apps with LangChain
  • Mixture of Experts: Fine-Tuning Domain-Specific Models and Bringing Them Together through a Retrieval Architecture
  • Multi-Modal Learning: Integrating Text, Image, and Sound
  • NeRFs: The Future of Immersive Media
  • Generative Algorithms for Drug Discovery
  • Plugins: Extending the Reach of Large Language Models
  • AI-Generated Art and the Question of Creativity
  • Human-in-the-Loop Generative Models
  • The Future of Open-Source Generative AI
  • Audio-synthesis With Transformers
  • Scaling Generative AI Models
  • Mitigating Harms with Classifiers for Generative Models
  • Model Openness Framework: Evaluating Licenses for Open Science Projects 
  • Evaluating and Testing Code Using Large Language Models
Autonomous AI and Reinforcement Learning
  • Imitation Learning: Teaching Agents to Mimic Human Actions in Videos
  • AI Safety in Autonomous Systems
  • Evolutionary Algorithms for Game Playing Agents
  • Multi-Agent Systems and Competitive Learning
  • Autonomous Agents for the Enterprise: Automated the Workplace
  • Using Larging Language Models for Autonomous Agent Behaviors
  • Open Source Simulations: Leveraging O3DE for Robotics Training
  • Reinforcement Learning from Human Feedback: Improving Agent Performance Through Human Preferences
Natural Language Processing and Computer Vision
  • Emotional Intelligence in AI: Sentiment and Beyond
  • Cross-Lingual Natural Language Processing
  • Automatic Speech Recognition: Challenges and Solutions
  • Subword Algorithms and Language Models
  • Building and Operating Your Own Tokenizer
  • AI-Driven Content Summarization and Aggregation
  • 3D Vision and Depth Estimation: Applications in Robotics and AR/VR
  • Image-to-Image Translation: Techniques and Applications in Style Transfer
  • Human Pose Estimation: From Gaming to Healthcare
  • Real-Time Object Detection: Challenges and Solutions
Edge and Distributed AI
  • Federated Learning: Navigating the Landscape of Decentralized, Privacy-Preserving AI
  • Resource Constraints in Edge AI: Optimizing for CPU, Memory, and Power
  • Distributed Deep Learning: Horovod, Parameter Servers, and Beyond
  • AI in Network Edge Computing
  • Real-Time Decision Making in Edge AI
Data Engineering and Management
  • Real-Time Analytics and Stream Processing
  • Vector Stores, Similarity Search and Retrieval-Augmented Generation
  • Data Imputation Techniques in AI
  • Meta-Learning for Data Augmentation
  • Data Marketplaces and Data Exchanges
  • The Role of Data Mesh in Decentralized Data Architecture
Community and Ecosystem Building
  • Collaborative Open Source AI Projects: Case Studies
  • The Role of Hackathons and Competitions in AI Education
  • The Impact of AI in Emerging Economies
  • Public-Private Partnerships in AI Research and Development
  • AI Literacy: Education and Outreach Programs
  • Shepherding Responsible Legislation for Open-Source AI
Responsible AI: Ethics, Security, and Governance in AI
  • Defining a Standard Responsible AI Framework
  • XAI: eXplainable AI: Understanding How Models Function
  • Human in the Loop: Controllable AI
  • Adversarial Methods: Human and Model-Derived Adversarial Prompting for LLMs
  • Fairness-Aware Machine Learning
  • Responsible Data Collection and Usage in AI
  • Synthetic Media and Deepfakes: Ethical Implications
  • Algorithmic Accountability: Legal Frameworks and Policies
  • Data Security and Privacy: Encryption, Leakage Control and Privacy-Preserving Techniques
  • Untested Waters: The Legal Implications of Generative AI

submission types

  • Lightning Talk (typically 5-10 minutes in length)
  • Conference Session (typically 30 minutes in length)
  • Panel Session (typically 30 minutes in length)
  • Technical Workshop (typically one hour in length)

important notes

  • All speakers are required to adhere to our Code of Conduct. We also highly recommend that speakers take our online Inclusive Speaker Orientation Course.
  • Panel submissions must include the names of all participants in the initial submission to be considered. In addition, The Linux Foundation does not accept submissions with all-male panels in an effort to increase speaker diversity.
  • Complimentary Passes For Speakers – One complimentary pass for the event will be provided for the accepted speaker(s) per submission.
  • Avoid sales or marketing pitches and discussing unlicensed or potentially closed-source technologies when preparing your proposal; these talks are almost always rejected due to the fact that they take away from the integrity of our events, and are rarely well-received by conference attendees.
  • All accepted speakers are required to submit their slides prior to the event.
  • If you have any other questions or need assistance, please do not hesitate to reach out to

preparing to submit your proposal

While it is not our intention to provide you with strict instructions on how to prepare your proposal, we hope you will take a moment to review the following guidelines that we have put together to help you prepare the best submission possible. To get started, here are three things that you should consider before submitting your proposal:

  • What are you hoping to get from your presentation?
  • What do you expect the audience to gain from your presentation?
  • How will your presentation help better the ecosystem?

There are plenty of ways to give a presentation about projects and technologies without focusing on company-specific efforts. Remember the things to consider that we mentioned above when writing your proposal and think of ways to make it interesting for attendees while still letting you share your experiences, educate the community about an issue, or generate interest in a project.

How to give a great talk

We want to make sure submitters receive resources to help put together a great submission and if accepted, give the best presentation possible. To help do this, we recommend viewing seasoned speaker Dawn Foster’s in-depth session titled Overcoming Imposter Syndrome to Become a Conference Speaker!.

Have More Questions? First Time Submitting? Don’t Feel Intimidated

Linux Foundation events are an excellent way to get to know the community and share your ideas and the work that you are doing and we strongly encourage first-time speakers to submit talks for our events. In the instance that you aren’t sure about your abstract, reach out to us and we will be more than happy to work with you on your proposal.

code of conduct

The Linux Foundation is dedicated to providing a harassment-free experience for participants at all of our events. We encourage all submitters to review our complete Code of Conduct.