External registration required at nyhackr.

This month we have Vikram Mullachery returning to give a talk about chaos.

Thank you to NYU for hosting us.

Everybody attending must RSVP through the registration form at nyhackr. There is a charge for in-person and virtual tickets are free. Space is extremely limited and in-person registration closes at 3 PM the day of the talk.

About the Talk: This is a talk on chaos and its interaction with machine learning. Since most systems that we model are dynamical, it is important that we think about their attractors, and possible chaotic nature. And if so, how do we address them in machine learning systems? Contrariwise is it possible to model a chaotic system using machine learning systems?

About Vikram: I am a Sr. AI/ML engineer with deep expertise in social media algorithms, ranking and recommendation, natural language processing etc. My work in Bayesian neural networks, causal inference and reinforcement learning techniques have been practically applied at Meta and a few startups in the NYC area. Previously, I have led teams of varying sizes in distributed work setups. Currently, I am working on a proprietary machine learning system for cybersecurity.

The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.

Remember, register at nyhackr.