With Prof. Dr. Thomas Mikolajick, expert in the field of semiconductor industry and semiconductor research, Julia talks about artificial intelligence (AI) and neuromorphic computing. In the process, they clarify basic terms and even get a little philosophical.
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Prof. Dr. Thomas Mikolajick is a proven expert in the field of semiconductor industry and semiconductor research and is particularly active in the area of research and development (R&D) of materials for nanoelectronic devices. Since 2009, he has held the professorship for nanoelectronics at TU Dresden and is the scientific director of NaMLab gGmbH. Julia talks to him about artificial intelligence and neuromorphic computing, clarifying basic terms such as machine learning, narrow and general AI, brain inspired computing, artificial neural networks and so-called spiking neural networks. The two also define possible application areas for future AIs, even getting a bit philosophical and talking about dogs, cats and horses.
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In this episode, you’ll learn …
● what we mean when we talk about AI today, what types of artificial intelligence there are, and what terms we should definitely be familiar with
● how AI differs from classical computing
● what “brain inspired computing” means and why it is a focus of AI research
● what neuromorphic computing is
● what we are trying to accomplish by recreating neurons and synapses
● how dogs, horses, and cats can help AI learn.
👉 By the end of the episode, you won’t be an AI expert, but you’ll be fit enough to have a very basic say in the topic and be able to assess and evaluate news and developments. You will also get to know all the terms that are important in the context of artificial intelligence.
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