Human-like computing aims to equip machines with human-like learning, reasoning and perceptual abilities. Such abilities can help computers to interpret the aims and intentions of humans and they can enable better collaboration and communication between humans and machines. Human-like computing may integrate knowledge from AI, cognitive, biological and other sciences. It can ultimately benefit many applications that require close interaction between computers and human users, e.g., AI-powered tutoring, personalised healthcare, among others.
AI for neuroscience is another relevant theme – one that uses a variety of techniques (including computational, imaging and other techniques) to study the human brain and cognitive abilities. These may include improved understanding of the functionality and development of the human brain over the lifespan, as well as conditions such as autism, dementia and mental disorders. Research in cognitive AI combines knowledge and techniques from e.g., cognitive, computational, biological and clinical sciences.