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

The deep tech powerhouse of Capgemini

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Agenda

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

17:30

Registration and networking

18:00

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

18:05

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

18:10

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

18:30

Q & A

18:45

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

19:30

Q & A

19:45

Wrap-up

James Chapman, Artificial Intelligence SIG Champion

19:50

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

21:00

Event closes

Speakers

Monty Barlow - CTO, 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 - Head of AI Research, Independent Audio AI/ML Consultant

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

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 - CEO, UKTIN, 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

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

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