Three years ago, we released the Omniglot dataset for one-shot learning, along with five
challenge tasks and a computational model that addresses these tasks. The model was not …

Abstract Theory of mind (ToM) broadly refers to humans' ability to represent the mental
states of others, including their desires, beliefs, and intentions. We design a Theory of Mind …

Similar to humans, RL agents use interactive learning to successfully obtain satisfactory
decision strategies. However, in many cases, it is desirable to learn directly from …

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep
Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art …

Fields of machine learning and artificial intelligence are undergoing transformative
advances and growth. This article presents a vision for the field of systems and control that …

Human infants are fascinated by other people. They bring to this fascination a constellation
of rich and flexible expectations about the intentions motivating people's actions. Here we …

The accelerated exploration of the materials space in order to identify configurations with
optimal properties is an ongoing challenge. Current paradigms are typically centered …

Neural source code summarization is the task of generating natural language descriptions of
source code behavior using neural networks. A fundamental component of most neural …

A current proposal for a computational notion of self is a representation of one's body in a
specific time and place, which includes the recognition of that representation as the agent …

Over the past few years, specialised online and offline press blossomed with articles about
art made" with" Artificial Intelligence (AI) but the narrative is rapidly changing. In fact, in …