Linley Fall Processor Conference 2021

Join us at the Linley Fall Processor Conference

Attend our virtual session via live webinar to learn how to implement high-performance natural language processing in constrained embedded systems.


Thursday, Oct 28, 2021 at 11:15 am PT

Synopsys Presentation

Thursday, October 28 at 11:15 a.m.– 11:45 a.m. PT

High-Performance Natural Language Processing in Constrained Embedded Systems

Natural Language Processing is a type of artificial intelligence that gives machines the ability to respond to text or voice. Natural Language Understanding, a sub-topic of NLP, is focused on understanding meaning. This presentation showcases a demonstrator built to model a voice-controlled automotive navigation system using modern, neural-network-based approaches to understand queries from the driver. We will describe how a DSP processor and an optimized NN kernel library can achieve high performance and accuracy on a resource-constrained embedded system.

Jamie Campbell is a Software Engineering Manager at Synopsys. He leads a team responsible for the development of machine learning libraries for Synopsys ARC processors and a second team responsible for the creation of compelling demos and reference applications for Synopsys AI processors. Prior to focusing on machine learning, Jamie has worked in various capacities as an embedded software specialist, including R&D Engineer, Field Applications Engineer and Corporate Applications Engineer at Precise Software Technologies, ARC International, Virage Logic and now Synopsys. Jamie holds a Bachelor of Science in Electrical Engineering from the University of Calgary, Canada.