Data and Artificial Neural Networks with Damian Borth

Episode notes

Neural networks are the backbone of many AI and machine learning systems. But how can they be applied to real-world scenarios? Today’s guest is Damian Borth, Professor of Artificial Intelligence & Machine Learning at the University of St. Gallen. He is also the director of the Computer Science Institute at St. Gallen. His work on neural networks has taken him to several subject areas including climate change, financial fraud detection, and text-to-speech. He is also the recipient of a Google Research Scholar Award. We discuss what neural networks are, what they do, and how their application could help us save the world. 00:00 - Intro 02:02 - Damian’s background 03:01 - What is a neural network? 09:21 - Neural networks and climate change 12:44 - Neural networks and text-to-speech 14:56 - Bias in AI training data 12:44 - Academia and the real world 27:12 - Dan's final thoughts LINKS: Damian Borth: Dan Klein: Zühlke: Welcome to Data Today, a podcast from Zühlke. We're living in a world of opportunities. But to fully realise them, we have to reshape the way we innovate. We need to stop siloing data, ring-fencing knowledge and looking at traditional value chains.

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