An Introduction to AI, updated

An Introduction to AI, updated

We provide an introduction to key concepts and methods in AI, covering Machine Learning and Deep Learning, with an updated extensive list that includes Narrow AI, Super Intelligence, and Classic Artificial Intelligence, as well as recent ideas of NeuroSymbolic AI, Neuroevolution, and Federated Learning.

What is Artificial Intelligence (AI)

AI deals with the area of developing computing systems that are capable of performing tasks that humans are very good at, for example recognising objects, recognising and making sense of speech, and decision making in a constrained environment.

Narrow AI: the field of AI where the machine is designed to perform a single task, and the machine gets very good at performing that particular task. However, once the machine is trained, it does not generalise to unseen domains. This is the form of AI that we have today, for example, Google Translate.

*Artificial General Intelligence (AGI): *a form of AI that can accomplish any intellectual task that a human being can do. It is more conscious and makes decisions similar to the way humans make decisions. AGI remains an aspiration at this moment in time, with various forecasts ranging from 2029 to 2049 or even never in terms of its arrival. It may arrive within the next 20 or so years, but it has challenges relating to hardware, the energy consumption required in today‚Äôs powerful machines, and the need to solve for catastrophic memory loss that affects even the most advanced deep learning algorithms of today.

*Super Intelligence: *is a form of intelligence that exceeds the performance of humans in all domains (as defined by Nick Bostrom). This refers to aspects like general wisdom, problem solving, and creativity.

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