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We are approaching a wireless future, where everything around us becomes connected and increasingly intelligent. Access to wireless connectivity is becoming as essential to our lives as access to electricity and water. In this podcast, two renowned Swedish academics discuss current and future wireless technology, as well as its impact on society. Erik G. Larsson is an IEEE Fellow and Professor at Linköping University, Sweden. Emil Björnson is an IEEE Fellow and Professor at the KTH Royal Institute of Technology, Sweden. They have written several textbooks, received numerous scientific awards, published hundreds of papers, and have tens of granted patents. They have a YouTube channel with 24k+ subscribers, youtube.com/wirelessfuture
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Friday May 07, 2021
Friday May 07, 2021
Machine learning builds on the collection and processing of data. Since the data often are collected by mobile phones or internet-of-things devices, they must be transferred wirelessly to enable machine learning. In this episode, Emil Björnson and Erik G. Larsson are visited by Carlo Fischione, a Professor at the KTH Royal Institute of Technology. The conversation circles around distributed machine learning and how the wireless technology can evolve to support learning applications via network slicing, information-aware communication, and over-the-air computation. To learn more, they recommend the article “Wireless for Machine Learning” (https://arxiv.org/abs/2008.13492). Carlo’s website is https://people.kth.se/~carlofi/ and the Machine Learning for Communications ETI has the website https://mlc.committees.comsoc.org. Music: On the Verge by Joseph McDade. Visit Erik’s website https://liu.se/en/employee/erila39 and Emil’s website https://ebjornson.com/
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