In the second episode of our mini-series on Artificial Intelligence (AI) and statistics, we look at Neural Networks. These models, inspired by the human brain, consist of several layers that recognize patterns and process information.
Today's new episode of our mini-series on AI and statistics is all about neural networks. Our team, Sascha Feth, Jochen Fiedler and Esther Packullat, explains how »Artificial Brains« work and how machines learn to master complex tasks – from image recognition to language processing – with the help of millions of connected neurons. What are neural networks? How are they structured? What do cats have to do with them? How do they replicate the learning process of the human brain?
We also solve the task from the previous episode on machine recognition of a rectangle.
Our suitable book tip for this episode, newly published by Fraunhofer Verlag: »Forscherinnen im Fokus – Wir schaffen Veränderung (Female Researchers in Focus – We Are Creating Change)« [The book is only available in German]. The book presents portraits of 42 inspiring female scientists who are working with artificial intelligence and simulation in various fields of application – from climate protection to health or mobility.
If you are interested in receiving a print copy, please contact us.
In the next part of our Streuspanne mini-series, we will dive deeper into the topic of »Training Neural Networks« and will then be out and about with AI in shallow data waters.
As always: Have you discovered a numerical phenomenon that you would like us to discuss or read a statistic in the media and would like us to make it a topic in the »Streuspanne«? Then get in touch with us.
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Fraunhofer Institute for Industrial Mathematics ITWM