Pamela Finckenberg-Broman and Morgan M. Broman, The RAiLE© Project
Pamela Finckenberg-Broman, LLM, PhD Candidate Griffith Law School. With a background as an international business woman Pamela is currently in Australia doing research on the conflict between international investment protection and EU legislation. Besides her PhD work Pamela also works as a lecturer in EU Law at Griffith Law School and together with Morgan M. Broman she works on the Robotics/AI Legal Entity (RAiLE©) Project.
Pamela is a lawyer specialising in International and European Business Law, especially the EU internal market law, competition law and investment agreements. She also has several years of international B2B experience, including the whole sales process, key accounts, business development and negotiations with legal know-how.
Morgan M. Broman, LLM, MSSc, MSc. With over 20 years of experience from international technology business at IBM, Hewlett-Packard and Xerox, Morgan has acquired plenty of practical experience in International Business Law & Technology in B-2-B relationships. Morgan is a lecturer in EU Law at Griffith Law School and works with the Law School’s Future Center (LFC) as an Associate Research Fellow researching AI’s, Robotics, Blockchain and Law. Together with Pamela Finckenberg-Broman he works on the Robotics/AI Legal Entity (RAiLE©) Project.
Morgan is a Business/Trade Lawyer (LL.M) with a practical background in IT technology business. As a lawyer he has specialized in international trade agreements, competition and IP Law involving EU and the EU Charter of Fundamental Rights. He has extensive international work experience in building and maintaining B-2-B relationships and can offer an often-unique insight into the interaction between business, law and technology.
Presentation: Human-Robotics/AI Interaction, The RAiLE© Project
The key component of our presentation is to create a discussion around the need to establish a global, internationally relevant definition for a legal entity, that can be utilized to establish a consistent legal position for a future, more autonomous, combined Robotics/AI Legal Entity (RAiLE©). The question is will this RAiLE© – an autonomous “Robotics/AI Legal Entity” – be seen as a form of human, a machine or something else under international law?
Through our initial research we have seen a growing need to look at first at the legal aspects of the interaction between two, often separate areas of our human lives affected by the technological developments within Robotics and AI, these are the workplace and the family unit. The importance of this is accentuated by the growing diversification in the interaction between Robotics/AI entities and humans in daily life, where the new technological solutions are capable of multiple different roles in our society’s daily life.
While our ongoing research into the legal aspects of this subject matter cannot provide all the answers, it is intended to look at the creation of a legal framework of definitions for future legislation to avoid or mitigate future potential legal disruption – i.e. when laws relating to technology usage is outpaced by the actual use of it and has a need to be adjusted and/or redefined.
We want to initiate a more contextual cross-science debate around how to define, for use in legislation, the future merging of Robotics/AI into one integrated, autonomous entity. In conclusion, we propose this presentation as a platform for further discussions on the future legal aspects of Human-Robotics/AI interaction.
Andy Chun, City University of Hong Kong
Dr. Chun is a leading Artificial Intelligence (AI) pioneer and global visionary with over three decades of AI innovation experience. Dr. Chun empowers organizations through improving customer experience and digital transformation, using AI and enterprise optimization. He is a highly trusted consultant for many large organizations. Dr. Chun is a sought-after speaker and has presented talks on a wide range of technology-related subjects, including AI, FinTech, HealthTech, EdTech, blockchain, etc. Dr. Chun has received numerous AI and ICT awards, as well as the HK CIO Award and the Top 5 Greater China CIO Award. Dr. Chun has also been a senior advisor to the HK Government on AI and IT strategies.
Presentation: Logistics Optimization with IoT, Digital Twin, AI and Blockchains
The logistics and transportation sector can benefit greatly from further optimization of operations to cope with growing and dynamic needs of the new Industry 4.0 world. Dr. Chun talks about potential benefits from the convergence of several fast developing technologies, such as IoT, digital twin, artificial intelligence, and blockchains. Dr. Chun will also present case studies from Hong Kong and Singapore.
Yong Liang Guan, Nanyang Technological University and NTU-NXP Smart Mobility Lab and Schaeffler Hub for Advanced Research (SHARE) at NTU
Dr. Yong Liang Guan (http://www.ntu.edu.sg/home/eylguan/) obtained his PhD degree from the Imperial College of London, UK, and Bachelor of Engineering degree with first class honors from the National University of Singapore. He is a tenured associate professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is now the Head of two industry collaboration labs: NTU-NXP Smart Mobility Lab and Schaeffler Hub for Advanced Research (SHARE) at NTU. His research interests broadly include coding and signal processing for communication systems and data storage systems. He is an Associate Editor of the IEEE Transactions on Vehicular Technology. He has led 18 past and present externally funded research projects on V2V/V2I communication, wireless communication signal processing, coding for 10Tb/in^2 magnetic recording, acoustic telemetry for drilling application, etc., with total funding of over SGD 24 million. He has 2 granted patents.
Presentation: NTU-NXP Smart Mobility Test-Bed: A Campus-Wide Infrastructure for Connected Cars
V2X (vehicle to everything) communication refers to a new vehicular WiFi technology that allows moving cars to communicate not just directly with each other, but also with “access points” installed on lamp poles or roadside infrastructure. This technology promises to enhance road safety, cut driving time, save fuel, augment GPS, drive big data, and enable new road pricing. International standards have been defined. Market products have emerged. In this talk, I will give an overview of a campus-wide V2X test-bed jointly developed by NTU and NXP that conforms to the IEEE WAVE standard suite, the full-stack applications that the test-bed is capable of supporting, the V2X standardization landscape, and outline some research projects related to this program.
Joern Ploennigs, IBM Research – Ireland
Joern Ploennigs is scientific researcher and manager at IBM Research – Ireland. He works on several aspects of enriching IoT by cognitive computing including machine learning, semantic reasoning, and natural interfaces to enable autonomous, highly scalable, and accessible IoT solutions for a sustainable future. Prior to joining IBM, he was heading the junior research group at Technische Universitaet Dresden, Germany, as well as the data analytics group in the Irish strategic research cluster ITOBO as Feodor-Lynen fellow of the Humboldt-Foundation. He holds a master in electrical engineering for automation and control and a PhD in computer science from Technische Universitaet Dresden. He is chair of the IEEE IES TC BACM and board member of the IEEE IoT initiative as well as program committee member of several renowned international conferences and journals.
Presentation: AI for Automating IoT
The exponential growth of IoT is creating new challenges in designing, deploying and, operating IoT systems. Machine learning and AI allow to process the data and to extract new level of insights. Scaling these solutions is challenging due to the high requirements on both methodological and domain knowledge. The talk will focus on how AI can be used to automated these processes in the life cycle of a IoT systems and create a cognitive digital twin that allows people to access insights in natural ways.
Simon See, Chief Solution Architect and Director, NVIDIA AI Technology Center
Prof Simon See is currently the Solution Architecture and Engineering Director and Chief Solution Architect for Nvidia AI Technology Center. He is also a Professor and Chief Scientific Computing Officer in Shanghai Jiao Tong University. Previously A/Prof See is also the Chief Scientific Computing Advisor for BGI (China) and has an position in NanyangTechnological Univ (Singapore) and King-Mong Kung Univ of Technology (Thailand). Prof See is currently involved in a number of smart city projects especially in Singapore and China. His research interests are in the area of high performance computing, big data, artificial intelligence, machine learning and computational science. Prof. See is also leading some of the AI initiatives in Asia Pacifiic. He has published over 100 papers in these areas and has won various awards.
Presentation: End-to-End AI Computing
AI and IOT has been progressing very fast over the last few years. There are many applications which have adopted AI such as medical, automotive, robotics, finance and many others. Some of these reside on the edge of IOT while others are being computed in the backend. In this talk, the author will discussed the computing aspect of AI to support the diverse needs of different AI applications.
Hironobu Takagi, IBM Research – Tokyo, IBM
Dr. Takagi is the senior manager of the Accessibility & Aging group at IBM Research – Tokyo. He joined IBM Research – Tokyo in 1999 and received his Ph.D. in computer science from the University of Tokyo in 2000. He has been investigating Web-accessibility, crowd-sourcing, elderly-care technologies and real-world accessibility technologies. He currently leads the Aging Research initiatives at global IBM Research. He is leading collaboration with University of California San Diego for eldercare and Carnegie Mellon University for real-world accessibility technologies. He received best paper awards at ACM ASSETS (Annual ACM Conference on Assistive Technologies) 2002 and 2009 and received an achievement award from the Japanese Ministry of Education, Culture, Sports, Science and Technology in 2011. He is a member of the IBM Academy of Technology and ACM.
Presentation: Realworld Accessibility
Computers have been changing the lives of the persons with disabilities. Synthesized voice helped the blind to access online services and dramatically increased their information source. Now, the new AI technologies are reaching the point where computers can help in sensing, recognizing, and understanding our living world, real-world. I will first introduce the concept of cognitive assistant for the blind, which will help them to explore surroundings and enjoy city environment by assisting their missing visual sense with integrated AI technologies. I will then introduce the latest technologies including precise navigation, and computer vision technologies, followed by a prediction of future progress with AI.
CK Vishwakarma, IoTSG and AllThingsConnected
CK is an experienced program manager and strategy leader in solutions design, integration and end-to-end program management of large complex projects. He conducts research and speaks on how technologies can prime enterprises & professionals for the future. He brings over 14 years’ experience in IIoT, M2M, Industrial Robotics and Broadcast Technologies. He founded both IoTSG and AllThingsConnected. IoTSG is the largest and most active IoT community in South East Asia focused on enabling the development of collaborative IoT Ecosystem in the region. AllThingsConnected is a professional services organization providing Digital Strategy, Solutions Architecture and Program Management services in Industrial, Agriculture, Built Environment and Energy verticals.
CK holds a Bachelors degree in Electrical Engineering from Indian Institute of Technology, Roorkee, and a Master of Technological Design in Mechatronics from NUS, Singapore. He is also a certified PMP, RMP from PMI, USA. He lives in Singapore, but travel around the region.
Presentation: I or A.I.- Should I fear Artificial Intelligence?
With advancements in Artificial Intelligence, Machine learning and their applications, most of the professionals, organizations and leaders are warning against the use of AI. In this talk we shall together try to find out which side you should take. Speaker will share practical examples from industry how he thinks we shall adopt power of AI with a human touch.
Jiewen Wu, A*STAR Artificial Intelligence Programme, and Institute for InfoComm Research
Jiewen Wu is an expert in knowledge representation and machine learning for AI.
Jiewen Wu is a scientist at the A*STAR Artificial Intelligence Programme and the Institute for InfoComm Research, Singapore. Before joining A*STAR, he was a leading research scientist at Accenture Labs in Ireland, and, previous to Accenture, a researcher at IBM Research. In his roles, he built intelligent solutions to real-world problems in various domains, such as public transportation, health care, and corporate finance, among others. His research interests include semantic technologies, knowledge representation, and machine learning. He received his PhD from the University of Waterloo.
Presentation: Artificial Intelligence for IoT Analytics: Challenges and Opportunities
In this talk, I will give an overview of how typical Artificial Intelligence (AI) techniques are used for IoT analytics. As an example, I will elaborate how machine learning and knowledge representation can be leveraged for one case of smart transportation. In particular, semantically represented data are indispensable for explanations in predictive modelling. To sum up, I will highlight a few challenges that need to be addressed, together with opportunities for researching AI in the field of IoT analytics.
Laura Wynter, IBM Research
Dr. Laura Wynter is leads the Cognitive@NationScale initiative at IBM Research in Singapore in Singapore. Laura has degrees from MIT and the Ecole des Ponts (Paris, France). Her areas of expertise involve the use of optmization, equilibrium modeling and statistics-based methods for enabling effective real-time decision making for planning as well as in operational environments in transportation and other domains. She is an IBM Master Inventor. Her work spans the full lifecycle of a research solution from the definition of the research problem and its characterization, to the development of effective algorithms, to collaborations with the IBM software division culminating in the creation of commercial software products from the models and algorithms developed.
Presentation: Artificial Intelligence and Automation in an IoT-equipped World
We will discuss some of the challenges and our solutions to the problem of developing AI-based systems to solve real-world problems. Examples shall be taken from some of the projects we have done in Singapore and around the world.