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LEARNING TO BUILD: HOW MACHINE LEARNING RESHAPES THE WAY WE DEVELOP HIGH-TECHNOLOGY PRODUCTS

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  • UserDr Rupert Thomas, TTP
  • ClockThursday 30 January 2020, 18:30-20:00
  • HouseCUED LT0.

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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.

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