Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

Abstract Current advances in Artificial Intelligence (AI) and Machine Learning have achieved
unprecedented impact across research communities and industry. Nevertheless, concerns …

Attempts at combining logic and neural networks into neurosymbolic approaches have been
on the increase in recent years. In a neurosymbolic system, symbolic knowledge assists …

Artificial intelligence (AI) has been altering industries as evidenced by Airbnb, Uber and
other companies that have embraced its use to implement innovative new business models …

Artificial Neural Networks are powerful function approximators capable of modelling
solutions to a wide variety of problems, both supervised and unsupervised. As their size and …

We introduce deep neural networks for end-to-end differentiable theorem proving that
operate on dense vector representations of symbols. These neural networks are recursively …

Human reasoning can be understood as an interplay between two systems: the intuitive and
associative (" System 1") and the deliberative and logical (" System 2"). Neural sequence …

Neural-symbolic computing has now become the subject of interest of both academic and
industry research laboratories. Graph Neural Networks (GNN) have been widely used in …