Foundation Models
Faculty
- Courant Institute School of Mathematics, Computing, and Data Science: Samuel Bowman, Joan Bruna, Kyunghyun Cho, Eunsol Choi, Greg Durrett, Rob Fergus, He He, Julia Kempe, Yann LeCun, Tal Linzen, Mengye Ren, Saining Xie, Sherry Yang;
- Faculty of Arts and Science: Samuel Bowman, Tal Linzen;
- Tandon School of Engineering: Pavel Izmailov;
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Computational Intelligence, Learning, Vision, and Robotics (CILVR)
The CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) regroups faculty members, research scientists, postdocs, and students working on AI, machine learning, and a wide variety of applications, notably computer perception, natural language understanding, robotics, and healthcare.
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Computation and Psycholinguistics Lab
This facility investigates how human minds process language by building sophisticated neural network models. By implementing modern natural language processing pipelines alongside eye-tracking hardware, researchers dissect the precise mechanics of human comprehension. Their ultimate academic mission is using behavioral data to build foundation models that behave less like rigid code and more like biological neural architecture
