E-raamat: Artificial Intelligence in the Age of Neural Networks and Brain Computing

1. Advances in AI, neural networks, and brain computing: An introduction
PART 1 Fundamentals of neural networks and brain computing
2. Natures
learning rule: The Hebbian-LMS algorithm
3. A half century of progress toward
a unified neural theory of mind and brain with applications to autonomous
adaptive agents and mental disorders
4. Meaning versus information,
prediction versus memory, and question versus answer
5. The
brain-mind-computer trichotomy: Hermeneutic approach PART 2 Brain-inspired
AI systems
6. The new AI: Basic concepts, and urgent risks and opportunities
in the internet of things
7. Computers versus brains: Challenges of
sustainable artificial and biological intelligence
8. Brain-inspired evolving
and spiking connectionist systems for life-long and developmental learning
9.
Pitfalls and opportunities in the development and evaluation of artificial
intelligence systems
10. Theory of the brain and mind visions and history
11.
From synapses to ephapsis: Embodied cognition and wearable personal
assistants PART 3 Cutting-edge developments in deep learning and
intelligent systems
12. Explainable deep learning to information extraction
in diagnostics and electrophysiological multivariate time series
13.
Computational intelligence in the time of cyber-physical systems and the
Internet of Things
14. Evolving deep neural networks
15. Evolving GAN
formulations for higher-quality image synthesis
16. Multiview learning in
biomedical applications
17. Emergence of tool construction and tool use
through hierarchical reinforcement learning
18. A Lagrangian framework for
learning in graph neural networks

Dr. Robert Kozma Ph.D (Fellow of IEEE, Fellow of INNS) is Professor of Mathematical Sciences, the University of Memphis, and Professor of Computer Science at University of Massachusetts Amherst. He holds a PhD in Physics and 2 MSc degrees in Mathematics and Power Engineering. His research is focused on computational neurodynamics, large-scale brain networks, and applying biologically motivated and cognitive principles for the development of intelligent systems. Previous affiliations include visiting positions at NASA/JPL, Sarnoff Co., Princeton, NJ; Lawrence Berkeley Laboratory (LBL); AFRL, Dayton, OH; joint EECS/Neurobiology appointment at UC Berkeley; Associate Professor at Tohoku University, Sendai, Japan; Lecturer at Otago University, Dunedin, New Zealand. His research career started over 35 years ago as a research fellow at the Hungarian Academy of Sciences, Budapest, Hungary. He has published 8 books, 350+ papers, has 3 patent submissions. His research has been supported by NSF, NASA, JPL, AFRL, DARPA, FedEx, and by other agencies. He is President of INNS (2017-2018), serves on the Board of IEEE SMC Society (2016-2018); has served on the AdCom of the IEEE Computational Intelligence Society (2009-2012) and the Board of Governors of the International Neural Network Society (2007-2012). He has been General Chair of IJCNN2009, Atlanta, USA. He is Associate Editor of Neural Networks, Neurocomputing, Cognitive Systems Research, and Cognitive Neurodynamics. Dr. Kozma is the recipient of the INNS Gabor Award. Dr. Cesare Alippi Ph.D received his degree in electronic engineering cum laude and his PhD from Politecnico di Milano, Italy. Currently, he is a Full Professor at the Politecnico di Milano, Milano, Italy and Universitą della Svizzera italiana, Lugano, Switzerland. He has been a visiting researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC), A*STAR (SIN), and UKobe (JP). Dr. Alippi is an IEEE Fellow, Board of Governors member of the International Neural Network Society, Board of Directors member of the European Neural Network Society, Past Vice-President education of the IEEE Computational Intelligence Society, past Associate editor of the IEEE Computational Intelligence Magazine, the IEEE-Transactions on Instrumentation and Measurements, the IEEE-Transactions on Neural Networks. In 2016 he received the Gabor award from the International Neural Networks Society and the IEEE Computational Intelligence Society Outstanding Transactions on Neural Networks and Learning Systems Paper Award; in 2013 the IBM Faculty award; in 2004 the IEEE Instrumentation and Measurement Society Young Engineer Award. Current research activity addresses adaptation and learning in non-stationary environments and Intelligence for embedded and cyber-physical systems. He holds 5 patents, has published one monograph book, 6 edited books and more than 200 papers in international journals and conference proceedings. Dr. Yoonsuck Choe Ph.D. received his B.S. degree in computer science from Yonsei University, Seoul, Korea, and his M.S. and Ph.D. degrees in computer sciences from the University of Texas at Austin, Austin, Texas, USA. He is Professor and Director of the Brain Networks Laboratory in the Department of Computer Science and Engineering at Texas A&M University. During 2017 to 2019, he led the machine learning lab and the AI core team at Samsung Research as a corporate vice president. His research interest is broadly in imaging, modeling, and understanding brain function, from the local circuit level up to the whole brain scale, with a focus on the temporal and sensorimotor aspects of brain operation. He has published extensively in the above areas with over 140 publications that include three best paper awards and one best paper award nomination. He served as the program chair for the International Joint Conference on Neural Networks in 2015, and as the general chair in 2017. He is currently on the editorial board of IEEE Transactions on Cognitive and Developmental Systems. Dr. Francesco Carlo Morabito Ph.D was born in Italy and educated in Europe. He earned the Laurea” Degree (Summa cum laude) from the University of Napoli (Italy) and he began his career as a Research Associate at Selenia SpA, Rome, (Radar Department). He joined the University of Reggio Calabria, Italy, as research associate, then becoming Associate Professor and Full Professor of Electrical Engineering. He served as Chair of the Electronic Engineering Course and of the Industrial Engineering Course, as member of the Universitys Inner Evaluation Committee, as Dean of the Faculty of Engineering, member of the Bylaws Committee, and serves now as Deputy Rector and Vice-Rector for Internationalization. He also taught at the EPFL, Lausanne, Switzerland (Ph.D. level), University of Naples, University of Messina, and University of Cosenza. He was a selected teacher at the Italian School of Doctorate in Electrical Engineering. Visiting Researcher Max-Planck Institute fuer Plasmaphysiks Munich, Germany. He is author/co-author of 300+ papers on international journals/conferences, 20 book chapters; and editor/co-editor of 10 international books, as well as Guest Editor for two special Issues of Neural Networks and IEEE Sensors. He is a Foreign Member of the Royal Academy of Doctors, Barcelona, Spain; Gold Medal Henry Coanda”, Rumanian Academy for Researches in Neural Networks and Fuzzy Systems, Iasi, Rumania; President of the Italian Society of Neural Networks (SIREN). Positions held within INNS: Member of the Board of Governors; Secretary; Member of the Board of Governors; Chair of the Nomination Committee; Plenary Chair at IJCNN 2015; Tutorial Chair in many Editions of IJCNN. Senior Member of IEEE and INNS. Italian Representative in AMSE, SIGEF. Delegate for European University Association (EUA). He holds three patents. He founded the University Spin-Off Neuratek” in 2005. Associate Editor of Neural Networks (Elsevier); Int. J. of Neural Systems; Editorial Board Member for: Renewable Energy (Elsevier); Applied Computational Intelligence and Soft Computing; Recent Patents in Computer Science; Intl. Journal of Computers, Signals and Systems; Fuzzy Economy Review; Micro- and Nano-Sensing Journal, Intl. Journal of Information Acquisition.