Keynote Speakers

Michael Gschwind (Chief Engineer, IBM TJ Watson Research Center)

Dr. Michael Gschwind is Chief Engineer for Machine Learning and Deep Learning for IBM Systems where he leads the development of hardware/software integrated products for cognitive computing. During his career, Dr. Gschwind has been a technical leader for IBM’s key transformational initiatives, leading the development of the OpenPOWER Hardware Architecture as well as the software interfaces of the OpenPOWER Software Ecosystem. In previous assignments, he was a chief architect for Blue Gene, the little-endian OpenPOWER Linux software architecture, OpenPower hardware architecture, the first-in-industry accelerator architecture Cell, POWER9, POWER8, POWER7, and the Xbox360 media accelerator engine. As a faculty member at the Technical University of Vienna, Dr. Gschwind invented inference and training accelerators for neural networks which have become the technology base for the cognitive revolution. Dr. Gschwind is an author of over 100 reviewed papers spanning all fields of computing from chip design and design automation to software architecture and cognitive computing, and an inventor of over 400 issued patents. Dr. Gschwind is a member of the ACM SIGMICRO Executive Board, a Fellow of the IEEE, an IBM Master Inventor and a Member of the IBM Academy of Technology.

Hugo Pinto (Managing Director, Accenture Digital)

Hugo mixes business strategy, technology and design thinking to drive true transformation both internally and externally from challenger to multinational organisations, enabling them to leapfrog their competitors. Hugo has been consistently brought into both startup and global businesses to create new products and revenue streams. Once described as an energetic self-starter that makes things happen. He has 17+ years experience working across agencies, brands and consultancies, and is deeply involved with the startup and VC world. He is currently Managing Director of the Accenture Digital, based in London, UK.

Lars Kai Hansen (Professor, Head of Section Cognitive Systems, DTU Compute)

Lars Kai Hansen received the Ph.D. degree in physics from the University of Copenhagen in 1986. Since 2000 he has held the professorship in digital signal processing at the Technical University of Denmark, where he also heads the Cognitive Systems Section. His research focuses on machine learning with applications in biomedicine, digital media and cognitive systems. He has published more than 300 contributions on these subjects in journals, conferences, and books. The major contributions include introduction and analysis of neural network ensembles (1990-96), introducing predictive machine learning methods for neuroimage analysis (1994-). He developed the concepts of cognitive components (2005-) and variance inflation (2011-). His research has been generously funded by the Danish Research Councils, The European Commission, the US National Institutes of Health, and private foundations. He was a member of the Danish Council for Independent Research - Technology and Production Sciences, and has been active in numerous international research evaluation committees including the Academy of Finland, Vetenskabsraadet Sweden, INRIA France, and the US National Institutes of Health. In 2011, he served as Cátedra de Excelencia at Universidad Carlos III de Madrid.

Peter J. Bentley (CTO, Braintree Ltd and Honorary Professor, UCL)

Peter J. Bentley Ph.D. B.Sc. (Hons) is an Honorary Professor and Teaching Fellow at the Department of Computer Science, University College London (UCL), Collaborating Professor at the Korean Advanced Institute for Science and Technology (KAIST), Chief Technology Officer at AI company Braintree Ltd, co-founder of Kazoova Ltd, a consultant and a freelance writer. Previously he was also a Visting Fellow at SIMTech, A*STAR, Singapore, Visiting Research Fellow at Goldsmiths College, London, Visiting Research Fellow at the University of Kent, Canterbury, and a contributing editor for WIRED UK. He achieved a B.Sc. (Hon's) degree in Computer Science (Artificial Intelligence) in 1993 and a Ph.D. in evolutionary computation applied to design in 1996, at the age of 24. Peter runs the Digital Biology Interest Group at UCL. His research investigates evolutionary algorithms, computational development, artificial immune systems, swarming systems and other complex systems, applied to diverse applications including design, control, novel robotics, nanotechnology, fraud detection, mobile wireless devices, security, art and music composition. He is also author of the number one bestselling iPhone app iStethoscope Pro. Peter was nominated for the $100,000 Edge of Computation Prize in 2005, and was a finalist for the AAAS 2010 Science Books & Films Prize. Through his research and his books he often gives public lectures, takes part in debates, and appears on radio and television; he was the host of the monthly Royal Institution's Cafe Scientifique, and a Science Media Expert for the RI Science Media Centre. He is a regular science and technology writer for BBC Focus magazine. He regularly gives plenary speeches at international scientific conferences and is a consultant, convenor, chair and reviewer for workshops, conferences, journals and books in the field of evolutionary computation and complex systems. He has published over 250 scientific papers and is editor of the books "Evolutionary Design by Computers","Creative Evolutionary Systems" and "On Growth, Form and Computers", and author of "The PhD Application Handbook" and the popular science books "Digital Biology", "The Book of Numbers", "The Undercover Scientist" and "Digitized."