Deep learning has triggered the current rise of artificial intelligence and is the workhorse of
today's machine intelligence. Numerous success stories have rapidly spread all over …

Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Does the human mind resemble the machines that can behave like it? Biologically inspired
machine-learning systems approach “human-level” accuracy in an astounding variety of …

This paper critically discusses blind spots in AI ethics. AI ethics discourses typically stick to a
certain set of topics concerning principles evolving mainly around explainability, fairness …

The book's core argument is that an artificial intelligence that could equal or exceed human
intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical …

This article is about deep learning (DL) and deep reinforcement learning (DRL) works
applied to robotics. Both tools have been shown to be successful in delivering data-driven …

Tracking an odour plume to locate its source under variable wind and plume statistics is a
complex task. Flying insects routinely accomplish such tracking, often over long distances, in …

Active inference is a Bayesian framework for understanding biological intelligence. The
underlying theory brings together perception and action under one single imperative …

Abstract 70 years ago Turing (1950, 1952), showcased his famous Imitation Game, which
has come to be better known as the Turing Test. It proposed an evaluation procedure of …