AI and Mathematical Theory Meet in a Small New York Research Room at Intuit

AI/ML Lecture & Networking @ Intuit is scheduled for 2026-10-29 in New York. The New York Machine Learning Research Guild brings a small in-person colloquium on the mathematical theory of deep learning to Intuit NYC.

The deployment conversation moves quickly. The research questions that explain why models generalize, simplify, and fail deserve rooms where people can challenge the underlying assumptions.

Why this matters now

The market keeps rewarding a fast demonstration. The harder work begins once a new system has to survive inside an institution, a product, or a development environment where accuracy, security, incentives, and human judgment are all still present. That is the difference between a capability and an operating practice.

AI/ML Lecture & Networking @ Intuit is useful because it puts people close to that work in the same room. The organizer lists Arthur Jacot, Assistant Professor at NYU’s Courant Institute of Mathematical Sciences. Those are not interchangeable perspectives. They connect the technical question to the people who have to decide how, where, and whether the work becomes real.

What the organizer has confirmed

• A talk by Arthur Jacot on the mathematical theory of deep learning
• Moderated Q&A
• An intentionally small research discussion for practitioners, researchers, and students
• Networking after the session

Event details

• Date: 2026-10-29
• Time: 5:00 PM ET
• Location: Intuit NYC, New York, NY
• Organizer: New York Machine Learning Research Guild and Intuit
• Access: Capacity is limited and unapproved drop-ins are not accommodated. Use the official event page for registration and attendance rules.
• Official information: Registration and current organizer details

The official organizer page remains the source of truth for schedule, access, venue, and participant updates. DevCuration is preserving the announced program without treating registration as guaranteed admission.