Cambridge Wireless: Battling AIs against each other - is this the future?
With AI in the news almost every day now, there is an urgent need for us all to become better informed, and to be able to separate the hype from reality for the benefit of the businesses we represent.
|Dates||13 Mar 2018 - This event is in the past.|
|Opening times||18:00 - 21:00|
|Venue||Cambridge Consultants, 29 Cambridge Science Park, Milton Road, Cambridge, CB4 0DW|
|Organiser name||Sophie Aldwinckle|
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 create new, highly-realistic outputs. The implications of the technology are huge, from virtual worlds through to rigorous testing of other machine learning technology, from patching gaps in datasets through to security.
In this session we’ll look at how to design, train and use GANs, with practical examples from our AI research lab, the Digital Greenhouse. We’ll consider the improvements that have been made since GANs’ 2014 debut, and where they still fall short. We’ll conclude with some predictions of where this technology could head.
Hosted by Cambridge Consultants
Monty Barlow - Technology Director, Cambridge Consultants
Director of Machine Learning 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
Director of AA Labs 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.
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