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University of Cambridge > Talks.cam > IET > LEARNING TO BUILD: HOW MACHINE LEARNING RESHAPES THE WAY WE DEVELOP HIGH-TECHNOLOGY PRODUCTS
LEARNING TO BUILD: HOW MACHINE LEARNING RESHAPES THE WAY WE DEVELOP HIGH-TECHNOLOGY PRODUCTSAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact cambsec. Artificial Intelligence, AI, is disrupting the traditional product development paradigms. An increasing proportion of software is trained rather than explicitly programmed. This approach is attractive because it can offer better results and shorter development times. The trend is broader however, affecting hardware and system design as well. For example, high-performance monolithic sensors are being replaced by multiple low-cost devices, in conjunction with data fusion and pattern recognition algorithms. In this talk Rupert will look at some of the technologies involved, and how the new approaches place increased emphasis on data collection and model validation. Rupert Thomas is a consultant at TTP Plc, based in Melbourn, where he specialises in data science and machine learning. Since leaving academia, he has developed data products in the medical, defence and industrial sectors. His research interests include include deep learning, machine vision, and AI at the edge. Rupert gained a MEng and PhD at Southampton University. To make a booking go to https://localevents.theiet.org/d76fd4 This talk is part of the IET series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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