Explainable artificial intelligence (XAI) is an area of ongoing research for a variety of
machine learning applications that aims to describe decision making employed by many …

The adoption of AI models in medicine and neurosciences has the potential to play a
significant role not only in bringing scientific advancements but also in clinical decision …

In this era of increasingly rapid availability of resources of all kinds, a widespread need to
characterize, filtrate, use, and evaluate what could be necessary and useful becomes a …

The idea of creating a general purpose machine intelligence that captures many of the
features of human cognition goes back at least to the earliest days of artificial intelligence …

Artificial intelligence (AI) is a concept, whose meaning and perception has changed
considerably over the last decades. Starting off with individual and purely theoretical …

Our current understanding of the primate cerebral cortex (neocortex) and in particular the
posterior, sensory association cortex has matured to a point where it is possible to develop a …

Over the last two decades, the complementary properties of symbolic and connectionist
systems have led to a number of attempts at hybridizing the two approaches to leverage …

The human brain is probably the most complex thing in the universe. Apart from the human
brain, no other system can automatically acquire new information and learn new skills …

Artificial Intelligence is an area of computer science that raises many questions in
philosophy, neuroscience, and cognitive science. It is also an area of technological …

Artificial intelligence systems have become proficient at linking environmental features to
targets to describe simple patterns in data. However, these systems can struggle with many …