The goal of the OMNI project is to develop a computational framework for the prediction and optimization
of human memory which is informed by indirect measurements of brain activity in humans. Simply put,
we aim to record people's brains while they learn things, predict which things they learned
successfully and which they didn't, and then devise better ways to teach them. The project applies
state of the art in machine learning and cognitive modeling methods to the design of next-generation
intelligent tutoring systems.
There are seven categories of project releases: data, publications, posters, abstracts, pre-prints, modeling code, and blog posts/news.
The following list shows all current and planned data releases (white buttons are planned and upcoming releases):