Deep Equilibrium Models (DEQs) are a class of machine learning models that computes the fixed point of a single nonlinear operator in lieu of a traditional multi-layer network. The resulting models are conceptually simpler than traditional models and benefit from smaller memory requirements.
MIT Sloan Professor Haoxiang Zhu explored the implications of introducing a central bank digital currency (CBDC) through commercial banks that differ in size. Specifically, the lecture focused on two design features of CBDCs: interest-bearing and payment convenience, which correspond to “store of value” and “medium of exchange” properties of currencies.
Yen-Ling Kuo is a PhD candidate working alongside Principal Research Scientist Boris Katz. Kuo is interested in building intelligent systems to help humans solve problems. Her experience working as part of the CSAIL community has helped her formulate her current research on robotic planning with natural language. For more information about Yen-Ling, please visit her Spotlight.