Schedule Released: 2026 Applied Machine Learning Conference
Early Bird prices end this Friday, March 20
The full schedule for the 2026 Applied Machine Learning Conference is now available! We were blown away by the response to our Call for Proposals, and the result is two days of technical talks and hands-on tutorials covering production ML systems, AI agents, healthcare AI, explainability, forecasting, knowledge graphs, and much more.
Friday, April 17 features keynotes from David Luebke (Co-founder of NVIDIA Research) and Vicki Boykis (founding ML engineer at Malachyte), plus four tracks of talks from speakers at organizations like Anthropic, Amazon, Microsoft, McAfee, S&P Global, DARPA, IBM, PagerDuty, and many more, as well as leading universities including UVA, Virginia Tech, Duke, and NC State.
Saturday, April 18 is all hands-on, with three tracks of 90-minute tutorials that dive deeper into topics such as building production-grade AI agents, agentic search, knowledge graph construction, MCP integration with real databases, probabilistic programming, physics-informed neural networks, and more.
If you’ve been waiting to register for the conference, now is the time! Early bird pricing ends this Friday, March 20.
We expect the conference to sell out, so be sure to secure your tickets while they’re still available. We can’t wait to see you in Charlottesville on April 17–18!
P.S. If you know colleagues or friends who might be interested in attending, please share this with them — we’d love to reach folks we might otherwise miss.