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Battling AIs against each other – is this the future?

Brought to you by The Artificial Intelligence Group

At this CW AI Bytesize event we take a look at two emerging and different areas of Artificial Intelligence, that hold great promise. We will hear from two leading Cambridge companies that are establishing leadership positions in each of these areas.

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About the event

Cloudless Sound Recognition

Recent years have seen artificial intelligence becoming a commercial asset through the growth of a whole new market segment of smart consumer products. In this context, AI aims to deliver human-like functionality in terms of computer speech, computer vision and music management. But what about the computer hearing in a more general sense that encompasses all sounds around us? Audio Analytic, a Cambridge-based AI company is holding the world leading position in researching, developing and commercialising cloudless sound recognition technology. The talk will outline the challenges associated with this particular AI modality. In particular, it will explain what makes it a league of its own where standard computer vision or computer speech recipes cannot simply apply, and where original IP needs to be developed in order to deliver a world leading sound recognition AI product.

Generative Adversarial Networks

It’s easy to think of deep learning as just something which chews on a load of data and makes a classification - the photo contains a dog, the audio waveform contains the world ‘hello’. But in recent years, a rapidly evolving approach called ‘Generative Adversarial Networks’ (GANs), which pits one AI against another to improve learning, has allowed deep learning to manipulate data in a completely different way. The implications of the technology are huge, from synthesising virtual worlds through to rigorous testing of AI or making it work with imperfect datasets. In this session we’ll look at how to train and use GANs, with practical examples from Cambridge Consultants' AI research lab, the Digital Greenhouse. We’ll consider the advances that have been made since GANs’ 2014 debut, where they still fall short, and where this technology could lead in the future.


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

Hosted by Cambridge Consultants

World-class wireless product development services

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


Registration and networking


Introduction to Artificial Intelligence SIG: Bob Driver, Chief Executive Officer, CW (Cambridge Wireless)


Welcome from host: Tim Fowler, Head of Wireless & Digital Services, Cambridge Consultants


Artificial audio intelligence: a new frontier in machine learning by Dr Sacha Krstulović, Director of AA Labs, Audio Analytic


Q & A


Exploring the state of the art in Generative Adversarial Networks by Monty Barlow, Technology Director, Cambridge Consultants


Q & A



James Chapman, Artificial Intelligence SIG Champion


Beer, soft drinks and pizza, networking and technology demonstrations from Cambridge Consultants

Try out Cambridge Consultants' Vincent AI painting system and Aficionado piano music genre detector.

All refreshments kindly sponsored by Cambridge Consultants


Event closes


Monty Barlow - Director of Machine Learning, Cambridge Consultants

Monty Barlow leads the machine learning capability at Cambridge Consultants, with a particular focus on the practical application of artificial intelligence to industrial problems. Throughout his career he has sought challenges which require high performance computation and algorithms to solve, in diverse domains such as telecommunications, security, transport and healthcare. In 2014, he founded a research lab within Cambridge Consultants to develop and industrialise deep learning technology for client programmes.

Sacha Krstulovic - Director of AA Labs, Audio Analytic

Dr Sacha Krstulović was a Senior Research Engineer at Nuance’s Advanced Speech Group (Nuance ASG) before joining Audio Analytic. At Nuance, he worked on pushing the limits of large scale speech recognition services such as Voicemail-to-Text and Voice-Based Mobile Assistants (Apple Siri type services). Prior to that, he was a Research Engineer at Toshiba Research Europe Ltd., developing novel Text-To-Speech synthesis approaches able to learn from data. He is the author and co-author of three book chapters, author of several international patents and several articles in international journals and conferences. Sacha is using his extensive audio analysis expertise to drive forward Audio Analytic’s technology. He is passionate about researching and developing automatic recognition of sound where Audio Analytic is building significant leadership.

SIG Champions

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.

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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.

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Location info

Cambridge Consultants, 29 Cambridge Science Park, Milton Road, Cambridge, CB4 0DW

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