Artificial Intelligence (AI) in the Classroom

This lecture mainly deals with the birth of the Artificial Intelligence field of study. In particular, it looks at the pre and post-war advancements.

The 60s saw some interesting advancements with important algorithms being developed. In particular, we see the birth of the Internet.

In the 70s, AI faced the first AI winter where most of the funding stopped.

In the 80s, AI faced the second AI winter where most of the funding stopped again!

The 90s saw the birth of the World Wide Web and the rise of a new kind of web known as the Semantic Web.

The new Millenium saw the acceleration of technologies whereby research labs started venturing into robots and self-driving cars.

In the last decade, we experienced huge leaps in AI. In this lecture we will explore some of them.

In this lecture, we will explain what is Big Data and why AI is important to process such data.

The lecture will explain what we mean by the cloud and why it is used.

This lecture will peep at the future of interconnected devices normally referred to as the Internet of Things.

The lecture will introduce students to Blockchain with an emphasis on its applications.

Through this lecture, students will learn how we can covert common problems in search problems thus making them easier to solve using Artificial Intelligence.

Using search algorithms, we give an example of how to program a robotic vacuum cleaner with the help of Artificial Intelligence.

The lecture introduces a simple real-world puzzle which can be easily solved using search.

In this lecture, we will revisit the game of Tic-Tac-Toe and solve it using search.

The lecture introduces the 8 Queens puzzle and shows how it can be easily solved using search.

The lecture introduces a traditional Artificial Intelligence problem solvable using search.

The lecture introduces the concept of Hill Climbing whereby greedy approaches are used to help us find a plausible solution to our problems.

The lecture introduces the 8 puzzle game which a lot of children play and shows how it can be easily solved using search.

The lecture introduces the real-world problem of finding the shortest route in a map and explains how it can be solved using Artificial Intelligence.

In this lecture, we understand what is meant by classification and what makes a good machine learning algorithm.

A small quiz to test your knowledge about the capabilities of Artificial Intelligence

Have a look at how online shops like Amazon use Machine Learning when you are visiting their website.

Learn how to make use of Decision Trees to take simple and complex decisions.

Have a look at the most advanced achievements of Machine Learning which happened in the last decade.

This lecture will introduce students to the basic idea behind reinforcement learning. They can then try it out using three games; one is a restaurant game and the others are two Wumpus World games.

This video introduces the rise of machine creativity soon after the Second World War with the creation of machines which can talk!

The Poetic AI Online Quiz looks at linguistic creativity. Let's see if you can find out which poems were written by an AI or by a human being.

This lecture gives various examples of how Artificial Intelligence is being used in the creative industries. From Holographs, Virtual Reality, Augmented Reality and much more.

The AI Bingo is meant to test your knowledge of AI through the game of bingo. Download a Bingo sheet of your choice from the links below and give it a try.

QuickDraw is an AI game where you have to draw a concept and the AI has to guess what it is.

The Emoji Scavenger Hunt is a game whereby the computer specifies a random object and you have to find it. The AI then checks that it is the correct object by detecting it through the webcam on your computer.

The thing translator helps you find foreign words for objects. So if I show car to the AI, the AI will let me know the name of that object in another language.

The Sentence Generator is a program which given an image, generates a sentence for that particular image.

The Semi-Conductor demo makes use of a camera installed in a computer to detect the moves of the user and allow him to control a digital orchestra in real-time.

The TensorFlow Playground is a tool which allow us to visualise and modify Artificial Neural Networks easily thus helping us understand their internal workings.

The Image Classification demo showcases how an Artificial Intelligence system manages to classify images.

The MNIST database is a large database of handwritten digits that is used for training computer vision systems. Through this demo, we will see the internal workings of the Neural Network and understand how it works.

A sentiment analyser takes as input a sentence, it analyses it and specifies whether the sentence has positive, negative or neutral connotations.

In this lecture, we will have a look at the jobs and tasks that are at risk and which will be replaced by AI.

Research in Artificial Intelligence needs to face various challenges in order to make it safe and address ethical considerations. In this lecture, we will touch on some of these issues.

This is the final lesson in the course, we will take a look at the threats which might exist with Artificial Intelligence together with some concluding remarks.