Search for courses or information


Computer Science students learn about Artificial Intelligence at special workshop

Students are given thought-provoking look at machine learning and deep learning

Students at the University of East London (UEL) got to delve into the latest ways Artificial Intelligence (AI) is shaping society during a recent workshop delivered by international computing giant Intel.

The Intel AI Academy workshop gave the University’s computer science students the opportunity to learn more about the important fields of machine learning and deep learning.

Workshop organiser Dr Julie Wall said, “Having Intel with us for a high-quality workshop was ideal. They are a major figure in computing. Several of our final year students are researching and developing AI techniques for their projects, so it was very useful for them."

Machine learning gives computers the ability to learn through algorithms – rules of logic written into computer software – which helps the computers recognise data and spot patterns. It is an advanced alternative to computer programming, offering computer scientists a solution to challenges such as recognising speech, handwriting, and faces. 

Deep learning imitates the workings of the human brain in processing data and creating patterns for use in decision making. It uses networks, based on the human brain’s neural networks, which are capable of learning from data that is unstructured or unlabelled, without the need for constant oversight by a programmer. 

The workshop was delivered by computer scientist Patrick Miziula (pictured right), who travelled from Warsaw, Poland, as part of Intel’s AI Academy European tour. 

Students also learned about Intel’s student ambassador scheme from AI Academy outreach representative Camilla Stepniowska (pictured left), including information about specialised training, access to resources and networking, and grants for conferences. 

Dr Wall, a senior lecturer in computing at UEL, said, “There are several computer science staff at UEL who specialise in AI and neural networks, including myself, so it’s part of what our students learn about here.”

The workshop attendees included computer science student Johan Larsson, 28. Johan is working on a final year project which looks at how AI can be used to analyse blood sugar levels to help predict diabetes. 

He said, “The workshop taught me a lot about the tools needed when working with AI, and the examples of real-life application inspired and encouraged me in my project. It’s an area that is becoming more and more important in every aspect of society.”