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WAB Faculty & Staff

AI: Home

Learning at WAB is a transformative process which is intentional and iterative, challenging and joyful, and serves an authentic purpose

WAB Definition of Learning

Artificial Intelligence - Machine Learning - Deep Learning

Advances in Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL) are developing very quickly, and will have impacts on teaching, learning, future careers and the way our world works. This guide is to show some resources that are accessible to students to learn more about AI. 

As students heading into an AI world, you should know how this technology might impact your future... and how you might be able to get involved. You should also be aware of the ethical implications of AI. 

 

Guide by Stephen Taylor for WAB. Image: Robotic Tiger, created using DALL-E 2 generator via PlaygroundAI.

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Definitions

Key Definitions

A great place to start in understanding the differences between AI, ML and DL is this article at Beyond Data Science

Defining AI

"AI enables the machine to think, that is without any human intervention the machine will be able to take its own decision. It is a broad area of computer science that makes machines seem like they have human intelligence."

Defining ML

"Machine Learning is a subset of Artificial Intelligence that uses statistical learning algorithms to build systems that have the ability to automatically learn and improve from experiences without being explicitly programmed."

Defining DL

"Deep learning is a machine learning technique that is inspired by the way a human brain filters information, it is basically learning from examples. It helps a computer model to filter the input data through layers to predict and classify information."