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Keynote Lectures

From Machine Learning to Explainable AI and Beyond
Andreas Holzinger, Medical University Graz, Austria

The Revolution of Telcom via Small Satellites
Kayyali Mohamed, International Federation of Global & Green Information Communication Technology, United States

 

From Machine Learning to Explainable AI and Beyond

Andreas Holzinger
Medical University Graz
Austria
 

Brief Bio
Andreas Holzinger is lead of the Holzinger Group (Human-Centered AI) at the Medical University Graz and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute in Edmonton, Canada. Since 2016 he is Visiting Professor for Machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation in Computer Science from TU Graz in 2003. He founded the Network HCI-KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence towards context-adaptive systems: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with artificial intelligence. Andreas is Associate Editor of Springer/Nature Knowledge and Information Systems (KAIS), Section Editor for Machine Learning of Springer/Nature BMC Medical Informatics and Decision Making (MIDM), and Editor-in-Chief of Machine Learning & Knowledge Extraction (MAKE). In his function as Austrian Representative for Artificial Intelligence in IFIP TC 12, he is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). Since 2003 Andreas has participated in leading positions in 30+ R&D multi-national projects, budget 6+ MEUR, 300+ publications, 11k+ citations, h-Index = 47.


Abstract
Explainable AI is rapidly becoming extremely important. Whilst classic rule-based approaches of early AI have been comprehensible "glass-box" approaches at least in narrow domains, their weakness was in dealing with uncertainties of the real world. The introduction of statistical/probabilistic learning methods has made AI increasingly successful. Meanwhile deep learning approaches even exceed human performance in particular tasks. However, such approaches are becoming increasingly opaque, and even if we understand the underlying mathematical principles of such models, they still lack explicit declarative knowledge. For example, words are mapped to high-dimensional vectors, making them unintelligible to humans. What we need in the future are context-adaptive procedures, i.e. systems that construct contextual explanatory models for classes of real-world phenomena. This talk presents some recent approaches on how to understand why a machine decision has been reached, making results re-traceable, explainable and comprehensible on demand and paving the way for an expert in the loop to augment human intelligence with artificial intelligence.



 

 

The Revolution of Telcom via Small Satellites

Kayyali Mohamed
International Federation of Global & Green Information Communication Technology
United States
 

Brief Bio

Dr. Kayyali, Innovation Management from Harvard Business School HBS, a PhD & M.Sc from (WCU), he is IEEE Industrial Officer, and BCS (British Computer Society)Chartered Fellow, Chartered Scientist by the Royal Chartered of UK Science Council & Awarded BCS ELITE , his biography listed in Who’s Who in Science and Engineering and he has a patent theory in edge detection with many published conferences & journals papers, he is an author of two indexed digital image processing books, listed by the Library of Congress in USA, invited key note speaker by U.N.& EU’sindustry foundations ,he was a researcher visitor at the University of California- Santa Barbara UCSB

Currently he is:

1-CEO / co-founder of 4D Business Consulting 4dbc.net - (a business advisory firm short listed by European Bank of Reconstruction & Developing ebrd.com),

2-President of International Federation of Global & Green ICT , IFGICT.org USA org.

3-Founder of KSF Space a U.K International Space Foundation.

4-Founder of ANAhost.net an ISP company in the U.S.A

5-Founder of Time Business News USA magazine and Time Business News Radio www.timebusinessnews.com

6-Co-founder of 4B Innovation Consulting www.4bic.net


Abstract
Telecoms has become one of the most revolution topics in high tech in the last century, but what would be look like in the next era while dealing with constellation of massive micro-satellites serving huge tracks of industries such as mobile technology, direct communication, big data processing and A.I.
7,000 small satellites to be launched over coming decade, the increase in small satellites, the use of low-Earth orbit (LEO), launches on reusable rocket launch vehicles and new use cases for 5G and the Internet of Things (IoT) are some of the most important developments to watch.     This revolution currently in use and most of high tech industry are heading towards such initiative where they are developing new bold line of their strategies and delivering new products and services to the market and to industry.



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