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(December 2) Deep Learning based on System S (RTAP) and Neuromorphic Computing


Deep Learning based on System S (RTAP) and Neuromorphic Computing


December 2, 2016 (Fri.) 2:00-3:30 PM


O.K. Baek (IBM)


EE3-2 room # 1202


With the world-wide pervasive adoption of the Internet and global knowledge-based ecosystem in this Information Age, today’s business faces unprecedented changes and heavily depends on the information and communication technology (ICT) for adapting to the changes and for efficient operations. Among others, Cyber Physical System (CPS) and the Internet of Things (IoT) have made the information and communication technology, the integral part of human civilization and our daily life. Consequently, there are ever-growing industry demands for advanced artificial intelligence to enable informed decision making and uncertainty and risk management. These industry demands call for an out-of-box thinking for innovation in the artificial inteligence, which is often referred to as Deep Learning or Cognitive Computing.

In this session, the traditional computing model and software engineering method and system will be assessed to identify gaps and deficiencies. Some ideas and methods to address the requirements related to CPS/IOT and Deep Learning will be discussed. For example, self-adaptive software engineering method and system (patent-protected) will be introduced as an enablement of experience-based learning and self-adaptation of functional behavior of a software component.

In addition, concept of System S will be described for enablement of Real-Time Analytical Processing (RTAP) for processing of in-motion data with high velocity, volume, variety, volatility, and veracity. The main ideas and concept of Neuromorphic Computing (based on the right-side human brain) will be introduced and the approach for leveraging Neuromorphic Computing for Deep Learning will be discussed.


O.K. Baek is the Executive Architect & Program Director, specialized in data intensive complex systems and cognitive computing solutions at IBM. He is an IBM Corporate Certified STSM (Senior Technical Staff Member) and Enterprise Architect, and The Open Group Certified Distinguished IT Architect. He is an engineer & scientist by training (electronics, computer engineering, computer science, industrial education, bioinformatics, molecular biology and medicinal chemistry). He has over 40 years of extensive experience in developing enterprise architectures and end-to-end solution design of complex enterprise solutions involving multiple business domains and advanced technologies: over 20 years in research & development in advanced technologies for distributed computing and parallel processing; and over 20 years in enterprise architecture development and end-to-end solution design for various industries.


He has led large-scale international, national, state/provincial, or enterprise-level initiatives involving multiple organizations, multiple business domains, various advanced technologies, and multiple vendors. He has in-depth knowledge and extensive experience in distributed computing and parallel processing technologies including various middleware technologies, data analytics and cyber security and privacy, and industry insights in financial industry and life sciences and biotechnology industry. He teaches IBM internal courses and external customer courses for large multinational corporations, as an IBM Corporate Certified Instructor, on the enterprise architecture fundamentals and SDLC methodology, component modeling and application architecture, and operational modeling and infrastructure architecture.


He is participating in the Smarter Planet initiative of IBM Research with focus on Advanced Analytics with Big Data and Cognitive Computing Solutions (e.g., preventative personalized medicine, water management, energy management, disaster management, social resilience, cyber physical system). He has led large corporate-level programs for business process optimization and IT transformation for large banks around the world, including the IT Transformation Program for the central bank of Canada to improve operational efficiency and business resilience and to improve the international collaboration for developing the economic and monetary policies.


He has led the Life Sciences Informatics and Clinical Genomics program for the IBM Life Sciences Group for six years. He has developed biomedical informatics solutions for over 40 biotech companies, pharmaceutical companies, and academic medical research centers around the world. He is a member of the Corporate IT Architect Certification Board and has chaired the Corporate Architecture Board for IBM Distributed Systems. He represented Canada to ISO/IEC for the OSI Upper Layer Architecture standards as the Canadian National Delegate.

He has published two books: (1) The Engines of Hippocrates: From the Dawn of Medicine to Medical and Pharmaceutical Informatics, and (2) Collaborative Computational Technologies for Biomedical Research. He has authored over 50 technical papers and filed over 15 international patent applications related to distributed and parallel processing, advanced analytics, cyber security and privacy, and biomedical informatics.