Today’s AI provides nothing like the general purpose, flexible intelligence that we have as humans. We are studying the ingredients of intelligence that enable fast and flexible learning.
- 1/2021: Reuben has a new paper appearing at ICLR on generative neuro-symbolic modeling.
- 9/2020: The lab has 4 papers appearing at NeurIPS2020: learning through a child’s eyes, the gSCAN challenge for compositional learning, neuro-symbolic rule learning, and the ME challenge for deep nets.
- 7/2020: The lab presents 2 papers at CogSci2020 on augmenting RL with object representations and generating new concepts.
About the lab
In 2017, Dr. Brenden Lake started the Human and Machine Learning Lab at NYU. We are located in the New York City neighborhood of Greenwich Village at the Center for Data Science (60 5th Avenue, New York, NY 10011). We are also part of the NYU Department of Psychology, the larger NYU AI group known as the CILVR lab, and the Computational Cognitive Science community at NYU.