Marc Gong Bacvanski
I'm currently a PhD student at MIT, where I work on analog hardware for intelligence. The field of Machine Learning has given us a mathematical formulation for learning. I want to build Learning Machines: physical systems that embody learning, rather than merely simulate it.
I'm drawn to attention, balance, craft,
light, fractals, contrast,
wonder, mischief, and the surreal—
especially when shared.
Currently
I am interested in building hardware and algorithms for intelligence, together.
Recently
January 2026: Invited talk — Aspen Center for Physics, Theoretical Physics for Artificial Intelligence. Slides. Read the blog post.
December 2025: ArXiv preprint — Dense Associative Memories with Analog Circuits
October 2025: ArXiv preprint — On Biologically Plausible Learning in Continuous Time