AI in an earbud?

Brought to you by The Artificial Intelligence Group

AI technology is expanding rapidly. The number of ultra-small constrained devices is too. Can these two trends be reconciled?

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About the event

This talk will examine keyword detection in earbuds, a real world example of bringing AI technology to bear in a highly constrained platform.  We will ask why doing so is beneficial and discuss some of the challenges encountered.  We will take the audience through the stages involved in building a Neural network based detection system, including worked examples.  We aim to raise awareness of the increasing need for collaborative neural networks that operate across the wider eco-system to unlock the full potential of end-point devices.

You can follow @CambWireless on Twitter and tweet about this event using #AIByteSize.

Hosted by Qualcomm Technologies International

Qualcomm Technologies Inc is the world leader in next-generation mobile technologies.

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Agenda

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The information supplied below may be subject to change before the event.

17:30

Registration

18:00

Introduction to Artificial Intelligence SIG, Bob Driver, CEO, CW (Cambridge Wireless)

18:05

Welcome from event host, Qualcomm Technologies International

18:10

AI in an earbud? Ramji Srinivasan, Senior Engineer, Qualcomm Technologies International

AI technology is expanding rapidly. The number of ultra-small constrained devices is too. Can these two trends be reconciled? This talk will examine keyword detection in earbuds, a real- world example of bringing AI technology to bear in a highly constrained platform. We will ask why doing so is beneficial and discuss some of the challenges encountered. We will take the audience through the stages involved in building a neural network-based detection system, including worked examples. We aim to raise awareness of the increasing need for collaborative neural networks that operate across the wider eco-system to unlock the full potential of end-point devices.

19:10

Q & A

19:25

Wrap-up

19:30

End of session followed by networking, beer, pizza and soft drinks

All refreshments kindly provided by Qualcomm Technologies International

20:30

Event closes

Speakers

Ramji Srinivasan - Staff Engineer, Qualcomm Technologies International

Ramji has worked in the general area of audio, speech and acoustic signal processing for around 15 years. At Qualcomm, Ramji works in Advanced Algorithms group, where he is currently engaged in developing machine learning algorithms for the earbud. Before joining Qualcomm, he was a research staff at Queen's University Belfast developing machine learning algorithms for different speech applications. He has 2 granted patents to his credit and authored several articles in international journals and conferences.

SIG Champions

Darendra Appanah - Senior Test Engineer, Cambridge Consultants

Darendra is part of the Systems Engineering & Test department, where he applies his expertise in Digital Security Testing to various technologies, including Machine Learning and AI. He has a background in Software Test Automation of wireless communications protocols, such as satellite communications and LTE. He enjoys defining and developing testing strategies for cybersecurity challenges and ensuring the quality and reliability of innovative solutions.

Maria Axente - Head of AI Public Policy & Ethics, PwC UK

Maria is a globally recognised, award-winning AI ethics public policy expert, a member of various Advisory Boards - UK All-Party Parliamentary Group on AI (APPG AI), NATO EDT & SKEMA AI Institute, and Chair of techUK Data and AI leadership committee. In her current role as Head of AI Public Policy and Ethics, she aligns PwC's AI strategies with ethical considerations and regulatory trends, fostering collaboration with external stakeholders and leading PwC's responses to public policy consultations and initiatives. Maria's commitment to responsible AI has made her a recognised thought leader and influencer in the field. Maria is a passionate advocate for children's rights in the age of AI, serving as a member of the Advisory Board for UNICEF #AI4Children and World Economic Forum Generation AI programmes. She also serves as an Intellectual Forum Senior Research Associate at the University of Cambridge researching human-centric AI and the intersection between tech policy and ethics.

Phil Claridge - Founder, Mandrel Systems

Phil Claridge is a ‘virtual CTO’ for hire within Mandrel Systems covering end-to-end systems. Currently having fun and helping others with large-scale AI systems integration, country-wide large scale big-data processing, hands-on IoT technology (from sensor hardware design, through LoRa integration to back end systems), and advanced city information modelling. Supporting companies with M&A ‘exit readiness’, due-diligence and on advisory boards. Past roles include: CTO, Chief Architect, Labs Director, and Technical Evangelist for Geneva/Convergys (telco), Arieso/Viavi (geolocation), and Madge (networking). Phil’s early career was in electronics, and still finds it irresistible to swap from Powerpoint to a soldering iron and a compiler to produce proof-of-concepts when required.

Parminder Lally - Partner, Appleyard Lees IP LLP

Parminder is a patent attorney based in Appleyard Lees’ Cambridge office, and helps companies to protect their technological innovations. She has built a substantial reputation working with high-growth start-ups, spin-outs and SMEs in Cambridge, and has in-house experience. She specialises in writing and prosecuting patent applications for computer-implemented inventions. Her work includes patenting AI-based technologies, including new machine learning frameworks and applications of machine learning in image classification, human-computer interactions and text-to-speech. Parminder also writes her own AI blog on LinkedIn, and is a member of the Chartered Institute of Patent Attorneys’ Computer Technology Committee.

Simon Thompson - Head of AI, ML & Data Science, GFT Financial Ltd

Simon leads a team that develops AI and ML solutions for large financial institutions. Before joining GFT he was the Principal Investigator for BT’s AI program. Before that he was the Head of Practice for Big Data and Customer Experience at BT and BT’s lead for collaborations with MIT, and the first industry fellow at the Alan Turing Institute. Simon is interested in practical application of AI technology and the practice and process of AI and ML projects. His book “Managing Machine Learning Projects” was published by Manning Books in 2023.

Peter Whale - Founder & CEO, Vision Formers

Peter is Founder & CEO of Vision Formers, the specialist consultancy that supports and mentors leaders of visionary technology businesses get product to market and turn ideas into reality.

Vision Formers works with start-ups and scale-ups, providing significant expertise in accelerating business growth through a focus on developing a robust product strategy, growing and coaching product and development teams, and providing operational excellence. Peter has a long track record of conceiving, developing and marketing successful technology-based solutions, deployed at scale, globally. Innovative products Peter has brought to market in digital, cloud, AI, consumer electronics and telecommunications have been used by countless millions of people on a daily basis globally, badged by the world’s leading digital and technology brands.

Peter also works with Digital Catapult as Programme Manager for UKTIN, working with partners and stakeholders to deliver UKTIN’s mission to transform the UK telecoms innovation ecosystem, capitalising on the country’s strengths in technology, academia, and entrepreneurialism, while positioning it for growth as new opportunities emerge in the industry.

Peter is a board member of CW (Cambridge Wireless), a Fellow of the IET, a Chartered Engineer, and a member of the Association of Business Mentors.

Event Location

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Location info

Qualcomm, Churchill House - Cambridge Business Park, Cowley Road, Cambridge CB4 0WZ

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