What's New in Deep Learning Research: Neural Networks that Detect Relationships Between Objects

Relational reasoning is a key component of fluid intelligence. Since we are babies we learn to detect relationships between objects in space and time. Relational reasoning is so ubiquitous in our thinking that we barely notice it. Every time that we are deciding which road to take or when we are piercing together different episodes of a movie thriller or a detective novel to discover the end plot, we are effectively using this cognitive skill. To date, we know very little about the brain mechanisms that allow us to detect spatial and temporal relationships between objects and how they evolve overtime.