Name: AI-mazing Technologies!
Start: 2023-05-24T19:30:00
End: 2023-05-24T21:30:00
Location: The City Gate

Join Liam and William as they present the marvelllous ways that AI and its applications are affecting both our environment and the way machines 'learn' both visually and intuitively. Our speakers and festival team (made up of postdocs, PhD and postgraduate students) will conclude the event by leading on a panel talk - uncovering what it means to work, study and (sometimes even live!) in a Tech-Lab!

Air Pollution and Trees (but not the wooden type!): How Artificial Intelligence is Tackling Air Pollution

Liam Berrisford (Postgraduate Researcher)

Come to this demonstration to learn how Decision Trees, a form of Artificial Intelligence that you use daily, can predict and tackle air pollution. The demonstration will be split into a small talk about the concept of decision trees and end with an opportunity to build your own model and make your own air pollution prediction for Exeter!

Inside the Black Box of Machine Learning and Artificial Intelligence

William Butler (Masters Student in Computer Science)

Today, many of us are aware of the power of AI and its applications; ChatGPT and the ‘algorithms’ associated with social media apps such as Instagram and TikTok are often discussed everywhere from news articles to chats with friends. While there is a lot of information available on how they work, it is often either vague or a highly technical mathematics paper. This talk will explain how machines can actually ‘learn’ by introducing these seemingly complex ideas in an intuitive and visual manner, making the in-depth knowledge normally hidden behind pages of algebra accessible to all.

Life in a Tech-Lab: Panel Talk

Do you have to wear a lab coat all day? Do you code and programme robots all day? How many models do you have to test? Just some of the questions that our scientists get asked about their life in Tech-Labs. Our speakers and festival team present this panel talk - an opportunity for you, the audience, to ask whatever questions you would like about study and work in a science department. Who knows what you will discover!

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