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.
The information supplied below may be subject to change before the event.
Introduction to Artificial Intelligence SIG, Bob Driver, CEO, CW (Cambridge Wireless)
Welcome from event host, Qualcomm Technologies International
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.
Q & A
End of session followed by networking, beer, pizza and soft drinks
All refreshments kindly provided by Qualcomm Technologies International
Ramji Srinivasan - Senior 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.
Laurent Brisedoux - Senior Manager, Amazon
Laurent has been heading the Amazon R&D team in Cambridge, part of the Lab126 organization, since its creation in 2014. His group is responsible for developing software for Amazon’s consumer electronic devices such as Cloud Cam, Echo Look, Echo Show and many more innovative products to come. Prior to that, Laurent was in charge of the development and productisation of imaging technologies at Broadcom. He joined the Broadcom Mobile Multimedia group in 2004 with the acquisition of Alphamosaic, one of the Silicon Fen ’success stories’. Laurent is also a junior angel investor and working with several technology startups in the Cambridge area.
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.Connect on linkedin
Richard Dearden - Senior Director and Advanced Analytics Project Leader, AstraZeneca
Richard is a Senior Director in R&D Data Science and Artificial Intelligence at Astrazeneca in Cambridge, UK. He leads a team doing a wide variety of data analytics, artificial intelligence and optimisation projects in the areas of clinical trial design and clinical supply chain. Richard is also an industrial advisor for the University of Birmingham-based National Centre for Nuclear Robotics. He has spent six years in industry, previously working at Schlumberger’s Cambridge Research Centre where he led a robotics and AI team working on drilling automation and other oilfield applications.
Prior to joining Schlumberger, Richard was Reader in Intelligent Robotics at the University of Birmingham, where he was a principal investigator on a number of UK and European-funded research projects, including work on robotic manipulation with the German Space Agency, DLR, and on autonomous underwater vehicles with the National Oceanographic Centre. He has over 70 academic publications in the field of artificial intelligence, largely in the areas of automated planning under uncertainty, robotics, machine learning and fault diagnosis.
From 1999 until 2005 Richard worked as a research scientist at NASA Ames Research Centre, and for part of that time ran the Model-based Diagnosis and Recovery Group. He worked primarily on the Mars Exploration Programme, including work on planning daily activities and fault diagnosis for Mars rovers. His team also developed the Livingstone 2 fault diagnosis engine which was used for a number of project including being successfully deployed on-board the EO-1 satellite mission.
Richard studied Computer Science at Victoria University of Wellington, New Zealand and obtained his doctorate on Markov decision problems and reinforcement learning in structured worlds from the University of British Columbia, Canada.
Gunter Haberkorn - Senior Manager Product & Technology, Magna International
Gunter works in the Corporate R&D Department and has years of experience in complete vehicle engineering. He is looking into Product and Technology trends within the automotive industry with a special interest in autonomy, mobility solutions, manufacturing and electrification and especially technologies which can support advancements in these areas.
Vaiva Kalnikaite - Founder , Dovetailed
Peter Whale - Founder, Vision Formers
Peter is Founder & CEO of Vision Formers, the specialist start-up consultancy that helps Founders and CxOs of visionary technology businesses take practical and purposeful action to get product to market and turn founder and shareholder vision into commercial market reality. Vision Formers provides significant expertise in building great software and digital products along with growing and coaching product and technical teams. Peter is currently working with Navenio, commercialising their breakthrough infrastructure-free location technology within the healthcare sector.
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 is a board member of CW (Cambridge Wireless), and co-leads its Artificial Intelligence special interest group.
CW (Cambridge Wireless)
Radio’s place in positioning – Techniques and TechnologyRegister now
CW (Cambridge Wireless)
The UK’s AI ecosystem: Engaging with key UK stakeholders and identifying joint ways to spur AI adoptionRegister now
CW (Cambridge Wireless)
CW Talk: All cars electric by 2035. What needs to happen to make this reality and how likely is it?Register now