To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

The world contains not only objects and features (red apples, glass bowls, wooden tables),
but also relations holding between them (apples contained in bowls, bowls supported by …

Recent advances in Augmented Reality (AR) technologies have led to a growing interest in
their application for marketing strategy and practice–what we term Augmented Reality …

Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …

The ability to store and manipulate information is a hallmark of computational systems.
Whereas computers are carefully engineered to represent and perform mathematical …

We propose a new 3D holistic++ scene understanding problem, which jointly tackles two
tasks from a single-view image:(i) holistic scene parsing and reconstruction---3D estimations …

Bows and arrows, houses and kayaks are just a few examples of the highly optimized tools
that humans have produced and used to colonize new environments,. Because there is …

In what sense does a large language model (LLM) have knowledge? We answer by
granting LLMs 'instrumental knowledge': knowledge gained by using next-word generation …

Understanding causes and effects in mechanical systems is an essential component of
reasoning in the physical world. This work poses a new problem of counterfactual learning …

How do people make causal judgments about physical events? We introduce the
counterfactual simulation model (CSM) which predicts causal judgments in physical settings …