Machine Learning for the benefit of Engineering

Add to your list(s) Download to your calendar using vCal

• Dr Stephan Waldert, Arm
• Thursday 21 February 2019, 13:15-14:15
• FW11, Computer Laboratory.

If you have a question about this talk, please contact Jan Samols.

Food provided

Advanced energy-efficient technologies (hardware and software), are at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. Development of these technologies is based on ever more complex engineering concepts and workflows, producing vast amounts of data.

Arm applies Data Science / Machine Learning to exploit these data, enable data-driven decisions, advance technology and improve the efficiency and effectiveness of engineering workflows.

This talk is about the opportunities of utilising machine learning in engineering to reduce product development cost/effort, reduce time to market, and enable better technology.

Speaker bio: Dr Stephan Waldert is a Principal Data Scientist at Arm, where he leads the Machine Learning team working on Arm’s engineering challenges since 2017. Prior to this he spent many years as a Senior Researcher at the University College London. His researched focused on Brain-Computer Interfaces, a combination of brain, hardware, software and machine learning that permits brain activity alone to control computers or external devices.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• FW11, Computer Laboratory
• Guy Emerson's list
• Interested Talks
• School of Technology
• Technical Talks - Department of Computer Science and Technology
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.