Introducing ML+X Nexus – Your Gateway to Collaborative Machine Learning and AI Resources!

Join the ML+X community on Tuesday, September 10th, 12-1pm CT in the Orchard View room of the Discovery Building, for our fall kickoff forum! During the kickoff, we will discuss upcoming community events and properly introduce the new Nexus platform we have been developing in the community, including a short demo on how to contribute! Register by September 8th (lunch provided) to guarantee your lunch ticket and join the discussion! - Chris 

1. Welcome Back and Networking
   For the first half of next week's event, we will discuss upcoming events in the community and provide time for networking with other community members. 
    
2. Navigating and Contributing to ML+X Nexus: Crowdsourced ML and AI Resources
   ML+X Nexus is the community’s centralized hub for sharing machine learning (ML) resources, designed to make ML practice more connected, efficient, accessible, and reproducible. It is intended to host a wide range of resources, including educational materials, code for common ML procedures, pretrained and foundational model use guides, recorded talks, and more. While practitioners can use Nexus to expand their expertise, educators and PIs will find it invaluable for sharing ML knowledge and procedures across fields, reducing redundancy, and improving learning outcomes. In this session, you'll learn how to navigate and contribute to Nexus, which already includes resources like the “Intro to Deep Learning with Keras” workshop and guides on "Out-of-Distribution Detection." We’ll also discuss future areas of development, such as our member blog section, contrastive learning and trustworthy AI, and how you can get involved through our GitHub. Don’t miss this chance to connect with the community and make your work more impactful!
    

Sign up to present! All fields and experience levels welcome! Want to get feedback on your machine learning (ML) project or proposal and connect with practitioners using the same models/methods as you? Sign up to present at the monthly ML+X forum this fall! If you are working in the social sciences, humanities, education, ecology, or any field outside of the typical CS-related work, you are especially encourage you to present your work! The ML+X community welcomes all backgrounds and experience levels. Let us provide you with the resources needed to succeed in your ML endeavors.

Miss a past forum? Visit ML+X Nexus to get caught up. We regularly upload past ML+X forums and other similar videos to the ML+X Nexus platform. Nexus is the ML+X community’s centralized hub for sharing machine learning (ML) resources (e.g., educational materials, applications and blogs, useful scripts, and more).