Jun 11, 2013 · 6:00 PM
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This month, Mauri Niininen will be discussing his work using probabilistic neural networks to train computers to understand Morse code. Morse code decoding has a long history as a problem in signal processing and remains an active area of statistical/machine learning research.
Mauri Niininen received his M.Sc in Engineering Physics from Helsinki University of Technology (1986). He has a life long interest in computer science and telecommunications and he works currently as a Director Engineering at Nokia Burlington office. In the past 5 years he has focused on building cloud services for mobile devices, ramping up operations, service delivery and 24x7 support capabilities globally for Nokia HERE business unit.
He received his first ham radio license in 1976 and served as a voluntary examiner 1981 - 1987 in Finland. He is holding FCC Extra Class License (AG1LE) since 2010 and is a member of Wellesley Amateur Radio Society. He is also member of the Finnish Amateur Radio League (SRAL) as well as the American Radio Relay League (ARRL). His current ham radio interests are focused on experiments with Software Defined Radio technology and he is developing Artificial Intelligence methods to improve digital communications, including Morse code.
Join NEAI for presentations and conversations about topics in artificial intelligence followed by study groups and networking. Share your projects, ask for help, help each other, and collaborate/commiserate over pizza and beer.