The 2025 Machine Learning Marathon (MLM25) Kicks Off In September!
The ML+X community is excited to kick off the 3rd annual Machine Learning Marathon (MLM25)! Running from September to December, this 12-week hackathon offers real-world machine learning (ML) and AI projects (“Challenges“) catering to different skill levels, application areas, and ML/AI methods. This year’s challenges span topics such as:
- AI‑emissions accounting using retrieval augmented generation (RAG)
- Protein‑variant effect prediction using protein language models
- Clustering the BioTrove dataset with contrastive learning and autoencoders
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Solving abstract reasoning tasks using AI beyond traditional LLMs (ARC‑2025)
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Developing a supportive mental health chatbot using LLMs aligned for safety
- Predicting store sales with time-series forecasting
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Decoding intended speech from brain signals using deep learning
- Classifying images (MNIST) with computer vision models
- … and more!
Participants choose a challenge that suits their skills and interests, form teams, and collaborate to develop ML/AI pipelines and evaluate different modeling strategies. Weekly events feature workshops, coworking time, team share-outs, and advisor support to help teams move forward. AWS compute credits are also provided to help scale up experiments.
Find a Challenge MLM25 Schedule
Ready to join MLM25? All participants must review the schedule, challenges (and their prerequisites), rules, and code of conduct before registering! Please register by Sept. 10 so we can plan our catering needs.
Registration
MLM25 is designed for participants ready to commit to a semester-long, project-based ML/AI experience. To help cover catering, space, and infrastructure costs, we charge a $60 registration fee. Your registration includes:
- Dinner during five of our weekly sprints (any meeting going past 6:30pm in the schedule)
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Three expert‑led workshops — AWS SageMaker on Oct. 9, RAG with IBM Watsonx on Oct. 16, GCP & VertexAI on Oct. 30
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Up to $50 in compute AWS/GCP credits for GPU access and other cloud workflows (e.g., parallelized training or tuning)
- Three months of expert support for your project
- Ongoing exposure to a wide range of ML/AI techniques shared by fellow participants throughout the hackathon
Ready to register? All participants must review the schedule, challenges (and their prerequisites), rules, and code of conduct before registering! Once you are ready to join MLM25, click the button below to register by Sept. 10.
50 % Discount Offer
In the spirit of communal learning, we offer action-based scholarships that reduce the registration fee to $30. These are available to any participant who completes one of the following:
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Give a 10–30 min demo on an ML tool, strategy, or resource at a sprint event
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Publish a blog post and/or notebook to ML+X Nexus detailing the methods and results from your challenge
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Contribute a resource (tutorial, notebook, blog, or summary of an existing ML/AI tool) to the ML+X Nexus knowledge base
These contributions help us build an open ecosystem of shared knowledge for current and future ML/AI practitioners. To request the discount or ask questions, email endemann@wisc.edu.
Thank You, ML+X Sponsors!
Your support empowers Madison’s ML/AI community to tackle real‑world challenges, share hard‑won knowledge, and help one another succeed. We couldn’t do it without you.
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Interested in Sponsoring Us?
Help fuel our growing community and showcase your organization’s commitment to responsible, open ML/AI. Visit the sponsorship page to learn how your organization will be represented as a sponsor of ML+X.
Organizing Team
- Abrar Majeedi – Graduate Student, BMI | UW-Madison
Presenter - Adam Ross Nelson – Teaching Faculty, Psych | UW-Madison
Project Organizer, Advisor - Alan McMillan – Professor, Radiology | UW-Madison
Leadership, Advisor - Annie Zhao – Undergraduate Student | UW-Madison
Project Organizer - Carl Kashuk – Data Scientist, Radiology | UW-Madison
Presenter - Chris Endemann – Research Cloud Consultant | RCI
Leadership, Project Organizer, Advisor, Presenter
- Dhruba Jyoti Paul – ML Engineer | ALL3D
Project Organizer, Presenter - Eli Cytrynbaum – Graduate Student | UW-Madison
Project Organizer
- Nick Kyburz – AI/MLOps Technical Specialist | IBM
Presenter - Ross Jacobucci – Professor | Center for Healthy Minds
Project Organizer - Yin Li – Professor, BMI | UW-Madison
Leadership, Advisor - Yuriy Sverchkov – Scientist, BMI | UW-Madison
Project Organizer, Advisor