thinking about thinking
In 2015 while on sabbatical in Berkeley, CA, I stopped by a small book store came across this interesting looking booklet titled “Education Automation, Freeing the Scholar to Return to His Studies” by Buckminster Fuller. The cover was attractive (as is the concept of “freeing the scholar to return to his studies”) and so I went home and read the...
The Center for Data Science at New York University is looking to fill a fully-funded postdoctoral position to work on computational principles of task representation in virtual reality (VR). The project is part of a multi-lab effort to build goal representation and inference models for human-machine collaboration. The position will be primarily supervised...
After almost a week of jazz, jambalaya, and computational linguistics, Pam and Anselm returned from New Orleans for the NAACL-HLT conference. The main conference event for us was the Tuesday workshop on Building Educational Applications. At the workshop, we presented our contribution to Duolingo’s second-language acquisition modeling (SLAM) shared task....
Graduate admissions are right around the corner, and my lab is looking for exceptional candidates interested in computational modeling and higher-level cognition. You can learn about about the lab by viewing this blog or our lab website. A list of recent papers is also available here. About Us We are interested in unlocking the secrets of human...
Last week, the 2017 Cognitive Computational Neuroscience conference was held at Columbia University. The meeting was studded with star speakers, and contained a mix of cognitive, brain-based, and machine learning talks throughout each day. From the outside, the conference looked like a meeting of researchers using roughly similar techniques and methods...
The lab is excited to announce the OMNI (Optimizing Memory using Neural Information) project, a new endeavor aimed at leveraging both behavioral and neural data to develop a system that improves how people learn and retain new information. OMNI is supported by a National Science Foundation grant to Todd Gureckis (PI) and Lila Davachi (co-PI). Why...
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