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


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. 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.
Dates Thursday, January 30, 2020 - Download as vCalendar
Event Times: 18:30
Venue Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ
Contact Name David Blake
Email cambsec@gmx.com
Website Event website

Event details:

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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The Institution of Engineering and Technology represents the public, professional and educational interests of over 150,000 electrical, electronic, manufacturing and systems engineers world-wide.