Abstract

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.