Thinking outside the Box with AI, Data Science and Digital Intelligence in the 21st and not so distant 22nd Century has to be empowering to us as humans. With the ensuing pandemic, we are now forced with an era of: working from home; battling loneliness; dabbling with online shopping; striving to keep our relationships; jobs; and intellectual capacities from being challenged not only by other humans or unknown species but also by Digital Intelligence and AI Technologies empowering competition against us in Cyberspace linked with reality. We are in the age of constantly working with Big Data, Data Science and Computational Modelling focusing on extracting information from large data sets, as well as, analyzing and solving real world problems by Modeling, Simulation, and Optimization; and drawing on the Mathematical and Computational Skills that are most needed to solve complex problems of the 21st Century where possible. Prediction models enable businesses to thrive and function while becoming the fundamental part of the operations of business processes towards fully understanding customers and their core products. Humans undertake these tasks as mediocre and mundane chores with impatience battling with aging societies while Computer Programs (AI enabled) in the near future will be smart enough to take a fraction of a second to solve these challenges without biological constraints.
In this talk, I will focus on the current research trends in AI/Data Science and its Applications in various domains specifically focusing on the pandemic namely: X-ray/CT Detection of Covid-19 (SARS-nCoV-2) using Convoluted Neural Networks (CNN) which is not completely new but distributed setups that can help optimize towards understanding the need for CNN; its methods are currently applied and the need for Distributed Computing using Mini-Grid Test Beds is something not considered yet for mass adoption. Based on previous research, the A3pviGrid Model is discussed using a Distributed and High Performance Compute Approach to X-ray studies of Covid-19 Detection and Evaluation in airports and hospitals to improve the overall detection processes. Furthermore, with this pandemic of COVID-19, Computational Modelling is an expensive and time consuming process. In this invited talk, we will see how computational tools help in reducing and empowering data scientists to work with large teams across the world towards solving complex problems. Mapping and simulating business trends needs continuous evaluation of big data using AI to forecast and develop action-oriented interventions in the near future. Time is the only variable that can reveal whether AI is the real solution to all our problems or vice versa in our shared future cohabitation.
Avinash Shankaranarayanan is the co-author of Big Data Universe and has been dabbling with computers and data science specializing in multi-disciplinary research. He has been actively involved in Supercomputers and Distributed Mobile Computing and has published numerous international articles in Books, Chapters, Peer reviewed Journal articles, International Conferences and Periodicals such as: the IEEE; and the ACM. Avinash holds an Engineering (Hons) Degree in Computer Science from the University of Madras, Chennai, India along with various Masters Degrees in ICT, Education, Biotech and Green Energy Business from Japan, India, Australia and Germany. He graduated with an earned PhD from Ritsumeikan University, Japan and is currently an International Faculty teaching twinning programs at Feng Chia University, Taiwan, San Jose State University and Purdue University, USA; UQ & RMIT University, Australia spanning Electrical Engineering & Computer Engineering, Business & Innovation and Business Analytics domains. He regularly advices various: Data Science Organizations; ICT Companies; and is a Visiting Professor at Trier University, Germany, UKM, Malaysia and Vels University, India. Recently he has been working on: Agent Aware Adhoc Virtual P2P Interconnect Grid Computing System (A3pviGrid): A Deep Learning Micro-Grid Architecture for Bio-Medical Applications in SARS-nCoV-2 and Other Pandemic Viruses; Blast those Genes: Bioinformatics Blast Applications using the A3pviGrid, Robust Multi-Agent Trust in Supercomputing & Complex Architectures; Computational Modelling and Simulations; Bioinformatics; CT/X-ray Modelling of Covid-19; Socio-economic Development; and AI in Green Technologies. He is an avid gamer, loves music, sports, and used to drive sports cars in his spare time.