Speakers

Dr Peter Baldwin - Founder, Myrtle Software
15:20 - 15:35 Processors for real-world AI

Peter has a pure mathematics PhD from Cambridge University and has a special interest in the mathematical foundations of deep learning. Myrtle accelerates performance critical workloads on FPGAs : devices that are currently being deployed at scale in data centres around the world. Myrtle has realized multiple proprietary deep learning networks as silicon designs so that they execute at a latency and power point that makes them usable in real-world situations. Myrtle is currently targeting its technology at inference workloads in data centres and is involved in a major collaboration to address the safety and verification challenges that currently preventing sophisticated deep learning networks being used in road vehicles.


Vishal Chatrath - CEO and co-founder, PROWLER.io
12:55 - 13:00 A word from our sponsor PROWLER.io

Vishal Chatrath is CEO and co-founder of PROWLER.io, a Cambridge-based developer of principled AI decision-making technologies that help customers understand, guide and optimise the millions of micro-decisions that occur in complex, dynamic environments. Its world-class researchers and engineers are transforming fields like systems engineering, autonomous vehicles, game design, and smart city planning. Vishal was previously head of automotive at Nokia, founder of Chleon Automotive and Chief Business Officer of VocalIQ, which was acquired by Apple in 2015. He focuses on turning ground-breaking research into workable solutions.


Jem Davies - Fellow and General Manager, Machine Learning, ARM
16:30 - 16:50 System Architectures for AI

Jem is an Arm Fellow and the General Manager for Arm’s recently formed Machine Learning business, focusing on Machine Learning and Artificial Intelligence solutions.
Jem was previously GM and vice-president of technology for the Media Processing Group and Imaging and Vision Groups. In addition to setting the future technology roadmaps for graphics, video, display and imaging, he was also responsible for technological investigations for several acquisitions leading to formation of the Media Processing Group, and most recently Apical, forming the Imaging and Vision Group.
Based in Cambridge, Jem has previously been a member of ARM’s Architecture Review Board and he holds four patents in the fields of CPU and GPU design. He has a degree from the University of Cambridge.


Sobia Hamid - Founder, Cambridge Data Insights
16:15 - 16:30 AI: open for all? Panel session

Sobia is founder of Cambridge Data Insights, helping organisations to improve performance through the application of AI and machine learning. Also founder of CancerPDX; a ‘Genetic Risk and Refer’ platform for the early identification and management of inherited cancers, Sobia previously worked as a Senior Investment Associate at Invoke Capital. She holds a PhD in Epigenetics from the University of Cambridge, and an MSc in Cognitive Neuroscience from Imperial College London.



Professor Neil Lawrence - Professor of Machine Learning, University of Sheffield
12:00 - 12:20 Where next for AI?

Neil Lawrence leads Amazon Research Cambridge where he is a Director of Machine Learning. He is on leave of absence from the University of Sheffield where he was a Professor in Computational Biology and Machine Learning jointly appointed across the Departments of Neuroscience and Computer Science.
Neil’s main research interest is machine learning through probabilistic models. He focuses on both the algorithmic side of these models and their application. He has a particular focus on applications in personalized health and computational biology, but happily dabbles in other areas such as speech, vision and graphics.
Neil was Associate Editor in Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (2011-2013) and is an Action Editor for the Journal of Machine Learning Research. He was the founding editor of the Proceedings of Machine Learning Research (2006) and is currently series editor. He was an area chair for the NIPS conference in 2005, 2006, 2012 and 2013, Workshops Chair in 2010 and Tutorials Chair in 2013. He was General Chair of AISTATS in 2010 and AISTATS Programme Chair in 2012. He was Program Chair of NIPS in 2014 and was General Chair for 2015. He is one of the founders of the DALI Meeting and Data Science Africa.


Anton Lokhmotov - CEO, dividiti
15:05 - 15:20 Community-driven AI/SW/HW co-design and optimisation

Anton Lokhmotov is CEO and founder of dividiti. The main of focus of dividiti is on Collective Knowledge (CK), an open technology, platform and initiative for accelerating AI R&D by crowdsourcing interdisciplinary design and optimisation knowledge. CK is contributed to by engineers and researchers working on AI applications, software and hardware, across industry and academia.
in 2010-2015, Anton led development of GPU Compute programming technologies for the ARM Mali GPUs, including production and research compilers, libraries and performance analysis tools. In 2008-2009, Anton was a post-doctoral research associate at Imperial College London. Anton obtained a PhD in Computer Science from the University of Cambridge Computer Laboratory in 2007, and an MSc in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology in 2004.


Alison B Lowndes - Artificial Intelligence Developer Relations, EMEA, NVIDIA
14:45 - 15:05 NVIDIA chipsets in EMEA

After spending her first year with NVIDIA ?as a Deep Learning Solutions Architect, Alison is now responsible for NVIDIA's Artificial Intelligence Developer Relations ?in ?the EMEA region. She is a mature graduate in Artificial Intelligence combining technical and theoretical computer science with a physics background & over 20 years of experience in international project management, entrepreneurial activities and the internet. She consults on a wide range of AI applications, including planetary defence with NASA & the SETI Institute and continues to manage the community of AI & Machine Learning researchers around the world, remaining knowledgeable in state of the art across all areas of research. She also travels and advises, teaches and evangelizes NVIDIA’s platform, around the globe.


Daniel Neil - Lead Machine Learning Researcher, Benevolent AI
14:05 - 14:25 Survey of Tools and Frameworks

Daniel Neil is a lead machine learning researcher at BenevolentAI which has key research areas around NLP and machine reading, generative models, and human-centric AI development for drug discovery and chemistry applications.  Formerly, Daniel was a research assistant in Kwabena Boahen’s Brains in Silicon Laboratory at Stanford, helping to build the lowest-power neuron supercomputer Neurogrid, and worked as a technical strategy consultant in the San Francisco Bay Area.  He was also a co-founder of Ponder, a site to discover intellectual events.

Daniel received his B.S. degree in Biomedical Computation from Stanford with a thesis on protein simulation.  He subsequently completed his master’s degree in Neural Systems and Computation at ETH Zurich, and received his doctorate there codeveloping hardware and optimized machine learning algorithms.  His highest-impact publications have combined neuroscience, hardware, and algorithms to produce novel recurrent neural network algorithms in biologically plausible computing substrates. 

Currently, his research interests focus on applying deep models to hard problems in generative modeling for chemistry and biology.  Specifically, he focuses on analyzing and building deep neural networks designed to cope with small or imbalanced data, combining semi-supervised and generative techniques, and exploring discrete and continuous spaces.


David Paul - Director, Corporate Engineering and R&D, Magna International
10:00 - 10:15 A word from our headline sponsor Magna

David Paul has served as Director, Corporate Engineering and R&D since 2014.  In this role David is responsible for identifying innovation opportunities for Magna from startups, SME’s, Universities, etc.  

He has worked in the automotove industry for 38 years, beginning his career with an Engineering Apprenticeship then Mechanical Engineering at Loughborough University (sponsored by Jaguar Cars Ltd) and later became a key member of Jaguar’s design team for their first V8 engine. Upon leaving Jaguar in 1995, David joined Magna International’s Powertrain division and in 2007 set up his own Company to support SME’s and Innovate UK in the low carbon vehicle sector before rejoining Magna in 2014.


Professor Carl Edward Rasmussen - Professor of Machine Learning, University of Cambridge and Chairman, PROWLER.io
11:40 - 12:00 Under the covers of a range of other AI technologies

Prof. Carl Edward Rasmussen is a professor of Machine Learning and head of the Computational and Biological Learning Lab at the Department of Engineering of the University of Cambridge. He is also the Chairman at PROWLER.io. He has extensive interests in probabilistic inference in machine learning, covering unsupervised, supervised and reinforcement learning. He is particularly interested in design and evaluation of nonparametric methods such as Gaussian processes (GPs) and Dirichlet processes. Exact inference in these models is often intractable, so one needs to resort to approximation methods, such as variational techniques or Markov chain Monte Carlo.
He has co-authored a book with Chris Williams, entitled "Gaussian Processes for Machine Learning", MIT Press, 2006. Gaussian processes are a principled, practical, probabilistic approach to learning in kernel machines. This standard reference for GPs is accompanied by open source software tools.


Dr Tony Robinson - Founder & CTO, Speechmatics
13:45 - 14:05 Natural Language Processing

Tony pioneered recurrent neural networks in speech recognition and has built and scaled multiple speech groups and companies. Tony’s passion is the development and application of machine learning to tasks that traditionally had been considered impossible for computers to solve.




Nigel Toon - CEO, Graphcore Ltd.
14:25 - 14:45 Why do we need another processor (solution?) for AI

Nigel is co-founder & CEO of Graphcore. Nigel was CEO of two VC-backed silicon companies before founding Graphcore; Picochip, which was sold to Mindspeed in 2012 and most recently, XMOS, in which Graphcore was incubated for two years before being established as a separate entity in 2016.
Before that he was co-founder of Icera, a 3G cellular modem chip company, where he led Sales and Marketing and was on the Board of Directors. Icera was sold to NVIDIA in 2011 for $435M.
Prior to Icera, he was Vice President and General Manager at Altera Corporation where he spent 13 years and was responsible for establishing and building the European business unit that grew to over $400m annual revenues.
He is the author of 3 patents, is chairman of the board of directors at XMOS Ltd and a non-executive director at Imagination Technologies PLC.


Cyrus Vahid - Principal Solutions Architect, Amazon (AWS)
16:50 - 17:10 AI on the Edge

Cyrus Vahid is a Principal Solutions Architect at AWS Deep Learning. He has a background in Machine Learning and Artificial Intelligence with a focus on Neural Networks. Before joining AWS Cyrus was Principal Domain Architect at Redhat. He is a software specialist with focus on integration and analytics. Over the past 20 years he has delivering innovative solutions with a track-record of success stories mostly in entrepreneurial environments. For the past 3 years he has been dedicated to Big Data initiatives and solutions.



Théophane Weber - Senior Research Scientist, Google DeepMind
10:50 - 11:10 Under the covers of Deep Learning

Theo is a senior research scientist at DeepMind. His research interests span probabilistic modeling, deep learning and deep reinforcement learning, and fundamentals of imagination and intuitive reasoning in artificial intelligence. Previously, he worked at Lyrics Labs (later acquired by Analog Devices), applying machine learning techniques to physical world problems.  He holds an M.S. and Ph.D from MIT in Operations Research and an M.S. from Ecole Centrale Paris in Applied Mathematics.



Professor Steve Young - Professor of Information Engineering, University of Cambridge
10:30 - 10:45 The near-term impact of AI

Steve Young is Professor of Information Engineering at Cambridge University where he has previously served terms as Head of the School of Technology and Senior Pro-Vice Chancellor.
His main research interests lie in the area of statistical spoken language systems including speech recognition, speech synthesis and dialogue management. He is the recipient of a number of awards including an IEEE Signal Processing Society Technical Achievement Award, an ISCA Medal for Scientific Achievement and an IEEE James L Flanagan Speech and Audio Processing Award. He is a Fellow of the Royal Academy of Engineering and the Institute of Electrical and Electronics Engineers (IEEE).
In addition to his academic career, he has also founded three successful startups in the Speech Technology area. Entropic Inc was acquired by Microsoft in 1999, Phonetic Arts was acquired by Google in 2010 and VocalIQ was acquired by Apple in 2015. He is now a Senior Member of Technical Staff in the Apple Siri Development team based in Cambridge, UK, a post held jointly with his University professorship.


Committee and Chairs

Laurent Brisedoux, Amazon
Organising Committee

Laurent Brisedoux 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 application, device and cloud software for Amazon’s consumer electronic devices such as Kindle, Fire tablets, Fire TV, Dash, Echo and many more innovative products to come. Prior to that, Laurent was in charge of the development and productisation of imaging technologies at Broadcom, managing a group of 50 people across multiple locations worldwide. He joined the Broadcom Mobile Multimedia group in 2004 with the acquisition of Alphamosaic, one the Silicon Fen ‘success stories’. Laurent is also a junior angel investor and working with several technology start-ups in the Cambridge area.


James Chapman, Qualcomm
Organising Committee

James is Qualcomm’s VP responsible for its roadmap of Voice & Music products. Before joining Qualcomm as part of the acquisition of CSR, he was responsible for CSR’s connectivity product line. Prior to CSR James has held senior software management roles at Broadcom; he was also the Head of Research for TTP Communications. James’ 20 years in the high-tech industry started with a degree and PhD in theoretical Condensed Matter Physics from the University of Oxford.



Phil Claridge, Mandrel Systems
Organising Committee
10:15 - 10:30 The Landscape of AI

Phil Claridge is currently having fun, with Mandrel, hands-on with IoT technology. This includes LoRa, back-end AI, Spark big data, and advanced city information modelling. Past roles include: CTO, Chief Architect, Labs Director, and even Technical Evangelist for companies including: Geneva, Arieso/Viavi, Convergys and Madge. Phil Claridge is a practical large scale software/systems/data architect (including massive big-data geolocation and carrier charging systems), who understands the strategic and commercial value of big software systems, and influences all levels in an organisation. Phil also has a great deal of M&A and IPR experience. Phil’s early career was in electronics, and still finds it irresistible to swap from Powerpoint to a soldering iron.


Robert Driver, CW
Organising Committee
10:00 - 10:15 CW Welcome

Bob joined CW in May 2015 with a focus on leading the development of the organisation, broadening its reach with other sectors and clusters, while retaining the unique culture and dynamism of the CW community. Working with the Events team, Bob is strategy lead for a number of Special Interest Groups (SIGs) and recently joined the editorial panel for the company’s latest venture; CW Journal, a quarterly publication advocating strong tech thought leadership within the wider CW community.
Prior to working at CW, Bob was Director for Technology at UK Trade & Investment [UKTI] where he successfully led teams helping UK tech companies to access overseas opportunities as well as attracting technology inward investment into the UK. He also coordinated the UKTI science and innovation agenda and was responsible for the delivery of UKTI events from small missions to large trade fairs.


Peter Whale, Peter Whale Consulting
Organising Committee
10:15 - 10:30 The Landscape of AI

Peter is a technologist and business leader, with a long track record of conceiving, developing and marketing successful technology-based solutions, which have touched the lives of many millions of people. Currently exploring transformative possibilities in AI, IoT and future connected devices. Peter is co-author of the 'Essentials of Mobile Handset Design', published by Cambridge University Press. Peter is a board member of Cambridge Wireless, and is a champion of the CW Artificial Intelligence SIG and Future Devices SIG.