AI Peaks / Frontiers
Cluj-Napoca, Romania |
20 November 2017
From self-driving cars to curing diseases or landing humans on Mars - AI is becoming ubiquitous – both in our surrounding environment and in our daily conversations.
At the same time it’s a menacing spectre - the singularity that marks AI ascension and humanity’s swift seem to be inevitably synonymous. You are invited to take a closer look at this topic, to discover its peaks and limitations, going beyond the sci-fi speculation and hype.
Join us for an awesome afternoon of conversations, networking, and presentations.
Director of Tungsten Centre for Intelligent Data Analytics
Dr. J. Mark Bishop is Director of the Tungsten Centre for Intelligent Data Analytics and Professor of Cognitive Computing at Goldsmiths, University of London. Under the aegis of Cognitive Computing, Mark's research spans Artificial Intelligence - its theory and applications - and the philosophy of Artificial Intelligence. He has published over 180 articles and two books alongside running research projects attracting funding in excess of four million pounds.
In theoretical terms Mark invented, and subsequently led the development of Stochastic Diffusion Search (SDS). In addition, he has successfully deployed A.I. in areas as diverse as time-series forecasting (UK National Grid); face recognition (BT); optimisation theory (EPSRC); neural networks (DERA; the Science Museum); interplanetary mission planning (ESA); mobile-robot localization (EU) and color-physics (Courtaulds).
ARTIFICIAL INTELLIGENCE AND THE DANGERS OF `DEEP STUPIDITY’: THE THINGS DEEP NEURAL NETWORKS CAN AND CANNOT DO...
With the promise of autonomous vehicles now "just around the corner", a computer beating the world’s best players at GO - a game once viewed as offering particularly difficult challenges to computerized opponents - and "killer robots" ready to join international battlefields, “Artificial Intelligence” is currently much in the news. However, in this talk I will suggest that the term “AI” is misplaced, as I will argue that such systems are not so much ‘artificially intelligent’ as pathologically “artificially stupid”. As such, they can present particular dangers to our society and as their creators, we need to be aware of their limitations, and our responsibilities.
Director of Engineering, 8x8 Research and Innovations
Silviu Niculita is a passionate software professional and technologist focused on solving hard business problems with cutting-edge technology. For the last 10 years he has been managing teams building and operating high-performance enterprise systems from hardware architecture to design, development, quality assurance and support.
Silviu’s areas of interest focus on the way small teams can be most effective in building real software: high-quality, secure systems at the highest limits of robustness, performance and flexibility. Among others, he has worked with groups like Microsoft and Siemens and holds numerous IT certifications.
Senior Architect, Endava
Radu Vunvulea is a technology enthusiast involved in multiple projects across various industries, using different technologies. He is a passionate driver of the tech community through several participations as a speaker at different conferences around the world and articles on his blog about IT trends. In his day to day life Radu is Senior Architect at Endava and Microsoft Azure MVP. He spends most of his time working with the Cloud, helping big enterprises innovate and finding solutions to their business problems.
THE SCIENCE BEHIND MACHINE LEARNING
Did you ever ask yourself how Machine Learning works as a system? In this session we will take a look at the science behind this. We will decrypt the base mathematical concepts that make systems like these work. Once you attend this session you will discover how polynomial expression can predict the future based on historical data.
Endava Tech Flow is an initiative that brings together passionate IT professionals and industry experts, to challenge traditional approaches and drives an exciting learning opportunity through knowledge-sharing and open conversations.