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Welcome to

The 3rd Research & applied ai summit

London, UK - Friday June 30th, 2017

 

AI is transforming our world. Fast.

 

In its third edition, the Research and Applied AI Summit (RAAIS) 2017 explores the frontiers of AI from the research lab and the technology industry.

RAAIS 2017 brings together applied academic researchers, students, technology entrepreneurs, engineers and product developers, as well as corporate leadership.

Founded in 2015 by Nathan Benaich, this community-focused showcase exists to accelerate the future of AI technology. We seek to inspire new generations of AI entrepreneurs and researchers to solve the world's most important problems.

To that end, RAAIS 2017 donates 100% of ticket sale proceeds to Code Club, a nationwide network of volunteer-led after school coding clubs for children aged 9-11.

 

ANNOUNCED Speakers

Simon Knowles Simon Knowles is co-founder and CTO of Graphcore. He co-founded and exited two fabless semiconductor companies, Element14 and Icera, for a combined value of over $1billion. Before that he headed the microprocessor development group at ST Micro.  He holds an MA in Electrical Science from Cambridge University and is the author of 14 issued patents.  

Simon Knowles

Simon Knowles is co-founder and CTO of Graphcore. He co-founded and exited two fabless semiconductor companies, Element14 and Icera, for a combined value of over $1billion.

Before that he headed the microprocessor development group at ST Micro. 

He holds an MA in Electrical Science from Cambridge University and is the author of 14 issued patents.

 

 
Emmanuel Mogenet Emmanuel is an Engineering Director who currently leads the ZRH-based Google Research Europe. Prior, he led a team of 200+ engineers focused on improving various aspects of Google's search engine. Before joining Google to work on Research and Search problems, Emmanuel spent most of his career working on solving 3D computer graphics and image processing problems for the film special effects industry. In particular, Emmanuel worked until 2006 at Apple Computers in California where he was part of the advanced image progressing group. He earned his Master’s degree in Computer Science and Artificial Intelligence in 1990 from the School of Mines of St-Etienne.

Emmanuel Mogenet

Emmanuel is an Engineering Director who currently leads the ZRH-based Google Research Europe. Prior, he led a team of 200+ engineers focused on improving various aspects of Google's search engine. Before joining Google to work on Research and Search problems, Emmanuel spent most of his career working on solving 3D computer graphics and image processing problems for the film special effects industry.

In particular, Emmanuel worked until 2006 at Apple Computers in California where he was part of the advanced image progressing group. He earned his Master’s degree in Computer Science and Artificial Intelligence in 1990 from the School of Mines of St-Etienne.

 
Kenneth Cukier Kenneth Cukier is the Senior Editor for data and digital products at The Economist, following two decades as a foreign correspondent in Asia, Europe and US focusing on technology and business. He is coauthor of the award-winning book “Big Data: A Revolution that Transforms How We Work, Live and Think,” a bestseller translated in over 20 languages. In 2002-04 he was a research fellow at Harvard’s Kennedy School of Government. Kenn is a member of the Council on Foreign Relations and on the board of directors of International Bridges to Justice. 

Kenneth Cukier

Kenneth Cukier is the Senior Editor for data and digital products at The Economist, following two decades as a foreign correspondent in Asia, Europe and US focusing on technology and business. He is coauthor of the award-winning book “Big Data: A Revolution that Transforms How We Work, Live and Think,” a bestseller translated in over 20 languages. In 2002-04 he was a research fellow at Harvard’s Kennedy School of Government. Kenn is a member of the Council on Foreign Relations and on the board of directors of International Bridges to Justice. 

 
Roland Memisevic Roland received the PhD in Computer Science from the University of Toronto in 2008 doing research on neural networks. He subsequently held positions as a research scientist at PNYLab, Princeton, as a post-doc at the University of Toronto and at ETH Zurich, and as junior professor at the University of Frankfurt. In 2012 he joined the MILA deep learning group at the University of Montreal as an assistant professor. Since 2016 he has been Chief Scientist at the Canadian-German AI startup Twenty Billion Neurons, which he co-founded in 2015. Roland was named Fellow of the Canadian Institute for Advanced Research (CIFAR) in 2015. His research interests are in deep and recurrent neural networks, in particular, as applied to video understanding. 

Roland Memisevic

Roland received the PhD in Computer Science from the University of Toronto in 2008 doing research on neural networks. He subsequently held positions as a research scientist at PNYLab, Princeton, as a post-doc at the University of Toronto and at ETH Zurich, and as junior professor at the University of Frankfurt. In 2012 he joined the MILA deep learning group at the University of Montreal as an assistant professor. Since 2016 he has been Chief Scientist at the Canadian-German AI startup Twenty Billion Neurons, which he co-founded in 2015. Roland was named Fellow of the Canadian Institute for Advanced Research (CIFAR) in 2015. His research interests are in deep and recurrent neural networks, in particular, as applied to video understanding. 

Dr. Raia Hadsell Dr. Raia Hadsell is Senior Research Scientist at Google DeepMind. She joined in DeepMind 2014 and leads a research team studying robot navigation and lifelong learning using principles and fundamentals derived directly from neuroscience. Prior to DeepMind, Raia was a senior scientist and technical manager at SRI International and a post-doc at Carnegie Mellon’s Robotics Institute. She holds a PhD from NYU on vision for mobile robots.

Dr. Raia Hadsell

Dr. Raia Hadsell is Senior Research Scientist at Google DeepMind. She joined in DeepMind 2014 and leads a research team studying robot navigation and lifelong learning using principles and fundamentals derived directly from neuroscience.

Prior to DeepMind, Raia was a senior scientist and technical manager at SRI International and a post-doc at Carnegie Mellon’s Robotics Institute.
She holds a PhD from NYU on vision for mobile robots.

 
Prof. Sabine Hauert Prof. Sabine Hauert is Assistant Professor in Robotics at the University of Bristol. Her research focusses in designing swarms that work in large numbers (>1000), and at small scales (<1 cm). Sabine works between Engineering Mathematics, the Bristol Robotics Laboratory, and Life Sciences. Before that, Sabine engineered swarms of nanoparticles for cancer treatment at MIT, and deployed swarms of flying robots at EPFL. Sabine is also President and Co-founder of Robohub.org, a non-profit dedicated to connecting the robotics community to the world.

Prof. Sabine Hauert

Prof. Sabine Hauert is Assistant Professor in Robotics at the University of Bristol. Her research focusses in designing swarms that work in large numbers (>1000), and at small scales (<1 cm). Sabine works between Engineering Mathematics, the Bristol Robotics Laboratory, and Life Sciences. Before that, Sabine engineered swarms of nanoparticles for cancer treatment at MIT, and deployed swarms of flying robots at EPFL.

Sabine is also President and Co-founder of Robohub.org, a non-profit dedicated to connecting the robotics community to the world.

 
Dr. Luuk van Dijk Luuk is the CTO of Daedalean AG, where he leads a team in the development of autonomous flight software for the electric personal VTOL aircraft of the near future. Daedalean innovates through combining cutting-edge robotics with avionics and safety-critical standards. Luuk advises a number of international tech start-ups and previously held Senior Software Engineering positions at Google Zürich and SpaceX, where he worked on infrastructure, flight software, and machine learning projects, among others. He holds a PhD in theoretical Physics.

Dr. Luuk van Dijk

Luuk is the CTO of Daedalean AG, where he leads a team in the development of autonomous flight software for the electric personal VTOL aircraft of the near future. Daedalean innovates through combining cutting-edge robotics with avionics and safety-critical standards. Luuk advises a number of international tech start-ups and previously held Senior Software Engineering positions at Google Zürich and SpaceX, where he worked on infrastructure, flight software, and machine learning projects, among others. He holds a PhD in theoretical Physics.

 
Dave Palmer Dave Palmer is the Director of Technology at Darktrace, overseeing the mathematics and engineering teams and project strategies. Dave has over ten years of experience at the forefront of government intelligence operations, including UK intelligence agencies GCHQ & MI5. He holds a first class degree in Computer Science and Software Engineering from the University of Birmingham.

Dave Palmer

Dave Palmer is the Director of Technology at Darktrace, overseeing the mathematics and engineering teams and project strategies. Dave has over ten years of experience at the forefront of government intelligence operations, including UK intelligence agencies GCHQ & MI5. He holds a first class degree in Computer Science and Software Engineering from the University of Birmingham.

 
Prof. Dr. Michael Feindt Prof. Dr. Michael Feindt is the brain behind Blue Yonder. His NeuroBayes algorithm was developed during his many years of scientific research at CERN. Michael is also a professor at the Karlsruhe Institute of Technology (KIT), Germany, and a lecturer at the Data Science Academy.

Prof. Dr. Michael Feindt

Prof. Dr. Michael Feindt is the brain behind Blue Yonder. His NeuroBayes algorithm was developed during his many years of scientific research at CERN. Michael is also a professor at the Karlsruhe Institute of Technology (KIT), Germany, and a lecturer at the Data Science Academy.

 
Dr. Marco Baroni Marco is a research scientist on the Facebook Artificial Intelligence Research (FAIR) team, joining in November 2016. Marco previously completed a PhD in theoretical linguistics from the University of California, Los Angeles. He joined the faculty of the University of Trento (Italy) in 2006, as associate professor at the Center for Mind/Brain Sciences focusing on general methods for natural language understanding. Marco's focus at FAIR is on methods to train machines to interact with humans (and with each other) through natural language.

Dr. Marco Baroni

Marco is a research scientist on the Facebook Artificial Intelligence Research (FAIR) team, joining in November 2016. Marco previously completed a PhD in theoretical linguistics from the University of California, Los Angeles. He joined the faculty of the University of Trento (Italy) in 2006, as associate professor at the Center for Mind/Brain Sciences focusing on general methods for natural language understanding.

Marco's focus at FAIR is on methods to train machines to interact with humans (and with each other) through natural language.

Jan Erik Solem Jan Erik Solem is CEO & co-founder of Mapillary, a street-level imagery platform powered by computer vision. Mapillary makes images and data available to improve cities, build the maps of the future, and create safer transportation. Prior to co-founding Mapillary in 2013, Jan Erik founded Polar Rose - a face recognition solution for mobile and web that Apple bought in 2010. He worked at Apple in Cupertino for a few years and was once a university professor.

Jan Erik Solem

Jan Erik Solem is CEO & co-founder of Mapillary, a street-level imagery platform powered by computer vision. Mapillary makes images and data available to improve cities, build the maps of the future, and create safer transportation.

Prior to co-founding Mapillary in 2013, Jan Erik founded Polar Rose - a face recognition solution for mobile and web that Apple bought in 2010. He worked at Apple in Cupertino for a few years and was once a university professor.

 
Zehan Wang Zehan was the co-founder and CTO of Magic Pony Technology before their acquisition by Twitter in June last year. He continues to the lead the team in London as part of Twitter. Their team works on machine learning for visual processing. Zehan previously completed a PhD at Imperial College London before joining Entrepreneur First where he met Rob Bishop and started Magic Pony at the end of 2014.

Zehan Wang

Zehan was the co-founder and CTO of Magic Pony Technology before their acquisition by Twitter in June last year. He continues to the lead the team in London as part of Twitter. Their team works on machine learning for visual processing.

Zehan previously completed a PhD at Imperial College London before joining Entrepreneur First where he met Rob Bishop and started Magic Pony at the end of 2014.

 
Matthew Chwastek Matthew is the Director of Product Management, Public Sector at Orbital Insight responsible for defining the product vision and roadmap for Orbital Insight’s geospatial analytics platform transforming satellite imagery and other geospatial data into an actionable understanding of the world. Matthew has experience in several areas, including robotics and intelligent systems, communications modeling and simulation, big data analysis and cloud-based technology for geospatial information applications. Matthew holds both a Bachelor and a Master of Science in Electrical Engineering from Drexel University.

Matthew Chwastek

Matthew is the Director of Product Management, Public Sector at Orbital Insight responsible for defining the product vision and roadmap for Orbital Insight’s geospatial analytics platform transforming satellite imagery and other geospatial data into an actionable understanding of the world.

Matthew has experience in several areas, including robotics and intelligent systems, communications modeling and simulation, big data analysis and cloud-based technology for geospatial information applications. Matthew holds both a Bachelor and a Master of Science in Electrical Engineering from Drexel University.

More speakers to be announced shortly.

In previous editions of RAAIS 2016 and 2015, we featured founders and academics from: 


2017 Programme

MORNING

Six talks from leading academics on applied AI research topics.

AFTERNOON

Seven talks and fireside chats with AI technology entrepreneurs. 
 

Stay tuned for updates...


Our Sponsors

We are proudly sponsored by the Google Cloud Platform team and leading technology law firm Cooley LLP.

 


Community PARTNERS

We are grateful for the support of our friends at Code Club and the London.AI meetup.


Venue

RAAIS 2017 will take place in central London. Details will be shared in the Eventbrite invitation post-registration.