Nature

Collective relational inference for learning heterogeneous interactions

Interacting systems are ubiquitous in nature and engineering, ranging from particle dynamics in physics to functionally connected brain regions. Revealing interaction laws is of fundamental importance ...
Nature

Asymmetric reinforcement learning facilitates human inference of transitive relations

Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such ...
TechRepublic

Deep Learning Inference Video

Welcome to the era of AI and intelligent machines fuelled by big data driven by deep learning, and powered by GPUs. This video gives an introduction to Artificial Intelligence in the workplace, and ...
ucdavis.edu

Understanding Learning by Inference

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...