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 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
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
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
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
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
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 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 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
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.