Previous (2019) Sessions by Renowned Industry Leaders

Special Sessions

[Bilingual / FREE]

≪ The Outlook Presented by AI Business Leaders ≫

【Date】April. 3 (Wed) 10:30 - 12:00

● Business Transformation in the New Era of Artificial Intelligence

Yuki Hamada
Mercari, Inc.

< Abstract >
How business model and eco system will be affected by the advanced and democratized AI?  Yuki Hamada, CPO of Mercari, Inc., the company running the Japan's largest flea market app "Mercari" will talk about the progress of the technologies and Mercari business, services and value changes in what they provide customers to achieve their own goal.

< Profile >
Established CYBRiDGE Group Corporation and became an executive vice president while in the science and engineering dept. of Tokyo University of Science.  In charge of contracted development, M&A, and new business start-ups.  After leaving CYBRiDGE in October, 2014, joined Mercari in December, 2014.  Took up the position as an executive officer in January, 2015, and then a member of the board in March, 2016.  Currently as a CPO oversees all the products, technologies involving AI/data/searching, and also R4D, Mercari's research and development organization.

● The Future Vision of AI Society & NTT's AI Business Strategy

Naonori Ueda
Ueda Research Laboratory,
NTT Communication Science Laboratories/
Deputy Director,
RIKEN Center for Advanced Intelligence Project

< Abstract >
The speech will give the outline of the capability of deep learning often discussed in the third wave of AI boom. The future vision for AI will be also reviewed in the context of how it will be used for natural and social science, and what kind of further development is expected.

< Profile >
Graduated from Osaka University with communication engineering degree in 1982, and master's degree in 1984. Then joined Yokosuka R&D Center of Nippon Telegraph and Telephone Corporation (NTT). Specialized in computer vision, pattern recognition, statistical machine learning, and data mining. Currently working on the research of ambient intelligence based on spatio-temporal statistical analysis and AI application to natural and social science. Visiting researcher at Purdue University in 1993-1994. Serving current position since 2016. Holds membership of Institute of Electronics, Information and Communication Engineers, Information Processing Society of Japan, Japan Association for Medical Artificial Intelligence, and IEEE. Awarded Scientific and Engineering Award from Ministry of Education, Culture, Sports, Science and Technology. Co-authored several books. Holds Ph.D. in engineering.

≪ AI Strategy in Japan ≫

【Date】April. 3 (Wed) 13:00 - 14:00

● The Future Prospect of AI and the AI Strategy of Japan

Yuichiro Anzai
Chairperson of the Artificial Intelligence Strategy Council/ Senior Advisor,
Director of Center for Science Information Analysis,
Japan Society for the Promotion of Science

< Abstract >
Discussing the future perspectives about how AI will change the society.  Focuses will be on the industrial, employment, and educational structures, research and development, and relationship between AI and human.  Also explains the summary of Japan's current AI strategy.

< Profile >
Completed PhD in engineering at Keio University in 1974.  After serving as a visiting assistant professor at psychology dept. of Carnegie Mellon University and an assistant professor at literature dept. of Hokkaido University, appointed to a professorship of science and engineering dept. of Keio University in 1988.  President of Keio University from 2001 to 2009, and Director of Japan Society for the Promotion of Science from 2011 to 2018.  Present post since April, 2018.  Advisor to Ministry of Education, Culture, Sports, Science and Technology.  Chairman of Artificial Intelligence Technology Strategy Council of the Cabinet Office.  Director of Central Council for Education.  Section Committee Director.  Association of Pacific Rim Universities Director, and several other prominent positions.  Majored in cognitive and information science.  Known for pioneering researches on "Learning by Doing" and "Human-Robot Interaction".  Wrote and jointly edited many books.  Awarded a Medal with Purple Ribbon and also as a Persons of Cultural Merits.  L'Ordre des palmes académiques, Commandeur and many other awards.

≪ Insights of AI Ventures: The Future of Artificial Intelligence ≫

【Date】April. 3 (Wed) 15:30 - 17:30

● Implement a Fruitful World ~The Cutting Edge of AI Utilization~

Yousuke Okada
Founder/President & Representative Director,

< Abstract >
Recent advances in the world's 4th industrial revolution, AI has attracted attention as a key technology in industrial transformation and social implementation has begun. In this presentation, ABEJA, which has provided AI solutions to more than 150 companies in various industries such as retail, manufacturing, logistics, construction, advertising, finance, medical care, etc. from 2012, will introduce the use of AI.

< Profile >
Born in 1988, from Nagoya, Aichi Prefecture. Started programming at the age of just ten. Majored in computer graphics at senior high school and received the Ministry of Education, Culture, Sports, Science and Technology Award. During college, he presented his research of 3DCG at international conferences. In 2011, joined a venture company in Tokyo, got promoted to the youngest manager of the business headquarters only in six months and achieved the business development worth millions of dollar in a quarter. Then he stayed Silicon Valley to research tate-of-the-art computer science, and witnessed the revolutionary advance in artificial intelligence (particularly deep learning). After returning Japan, founded ABEJA, Inc., as the first start-up company specializing in deep learning in Japan.

● Using AI Developing Platform for Next-generation Forecasting and Optimization Technology

Masaru Sogabe

< Abstract >
We will introduce AI development methods and application examples using AI development platform “ReNom”(produced by GRID), and the latest technologies / trends including AI’s impact on future business, prediction technology, optimization technology, and quantum computer control technology using AI.

< Profile >
GRID was founded in 2009, and is currently distributing AI development platform “ReNom”. GRID aims to revolutionize various social infrastructure issues such as energy, transportation and plants, and aims to create further breakthrough of AI. Currently, he is also the Board of Directors chairman of the AI Business Promotion Consortium.

● Recent Deep Learning Technology and its Applications: Automotive, Industrial Machine, Bio-healthcare, and Personal Robot

Daisuke Okanohara
Executive Vice President,
Preferred Networks, Inc.

< Abstract >
AI technology is now expanding for image/speech recognition, machine control, and anomaly detection. At the same time, outstanding issues in a research stage are being solved by AI technology. The speech will introduce the latest AI technology, while discussing the current AI applications in automotive,  industrial machine, bio-healthcare, and personal robot fields.

< Profile >
Daisuke Okanohara is a co-founder and an executive vice president of Preferred Networks. He received a Ph.D. in Computer Science from the University of Tokyo in 2010. His interests range from deep learning, reinforcement learning, generative models, natural language processing, to life science. Preferred Networks is collaborating with FANUC since 2015 to develop intelligent machine tools and robotics, and with Toyota since 2014 to develop an autonomous driving system.

≪ AI Business Worldwide ≫

【Date】April. 4 (Thu) 10:30 - 11:30

● Amazon AI in AWS: Latest Achievements in Research Leading to Novel Real-life Applications

Hassan Sawaf
Applied Science and Artificial Intelligence,
Amazon AI,
Amazon Web Services

< Abstract >
Democratization of Artificial Intelligence is in everyone’s mind. We will present our latest advances in developing state-of-the-art science and services that is used by our large community of AWS developers, and how these developers are innovating on behalf of their customers. We will present some of these use cases that we are very excited about.

< Profile >
Hassan Sawaf has worked in the automatic speech recognition, computer vision, natural language understanding, and machine translation fields for 20+ years. In 1999, he cofounded AIXPLAIN AG, a company offering speech recognition and machine translation services to enterprises, before “cloud” was yet a mainstream concept. His startup was acquired by AppTek in 2004, where he served as COO and Chief Scientist till SAIC acquired AppTek’s assets in 2010. Hassan was then Chief Scientist and Technical Fellow in SAIC with focus on Human Language Technology and Artificial Intelligence. In 2013 he joined eBay as senior director and head of AI, growing the Artificial Intelligence capability that is now enabling a large parts of the business. Since September of 2016 he joined Amazon to lead the Applied Science for Amazon AI, building up the science foundations for various AWS AI services.

≪ How Quantum Computing Changes AI R&D ≫

【Date】April. 4 (Thu) 13:00 - 14:30

● An Introduction to Quantum Computing

Scott Crowder
Vice President, IBM Q/
CTO & Vice President,
Technical Strategy,
IBM Systems

< Abstract >
There is a whole class of science and business problems that are too difficult for even the largest and most powerful computers that exist today. Quantum computers are being built to work with classical computers to potentially solve these problems. Pursued for decades in research labs, prototype machines are today getting bigger and more capable. This session cuts through the hype and focuses on what you can do to get ready to capitalize on quantum computing's potential. It will also offer a special inside look at IBM's quantum program.

< Profile >
Scott Crowder is currently Vice President, IBM Q and Chief Technical Officer, Technical Strategy and Transformation for IBM Systems. His responsibilities include leading the commercialization effort for quantum computers, driving the technical strategy for IBM’s IT infrastructure portfolio, and leading the agile and Design Thinking transformation. In previous roles at IBM, he helped define the cross-IBM technical strategy for Big Data and cloud infrastructure and was the lead engineer on the industry's first logic-based embedded DRAM technology. Scott received A.B./Sc.B. degrees in Electrical Engineering and International Relations from Brown University and a M.A. in Economics and M.Sc./Ph.D. in Electrical Engineering from Stanford University.

● AI with Less Data: How Quantum Computing (Annealing) Enables Generative Learning

Handol Kim
General Manager, Quadrant Machine Learning Business Unit
D-Wave Systems Inc.

< Abstract >
This seminar will focus on how quantum computing pioneered by D-Wave, specifically quantum annealing, has enabled the rapid development of generative models such as Variational Autoencoders (VAEs) and Markhov Random Fields (MRFs) under the label of Generative Learning. The biggest obstacle facing business and enterprises that want to use AI/machine learning is not enough labeled data. This is because of the popularity of discriminative (supervised) deep learning methods such as deep neural networks that require large amounts of labeled training data with a balanced distribution of samples in target classes. In most real-world industries outside digital, these datasets do not exist or are prohibitively expensive to generate/curate, and thus often are insufficient to create business value.

Generative learning is a different approach that can be used when there is not enough labeled data (semi-supervised or unsupervised); not enough samples in target classes for imbalanced classes/anomaly detection; and when there are insufficient samples versus features (high-dimensional datasets) and for domain adaptation. Current customers and applications are in: industrial automation (for continuous industrial processes in metals, mining, chemicals, oil & gas, forestry, et al.); materials/drug discovery; computer vision; telecommunications, bioinformatics and Banking, Financial Services and Insurance (BFSI).

Launched in May 2018 and with global enterprise customers, Quadrant is D-Wave’s machine learning business unit focused on commercializing algorithms through software and services.

< Profile >
Launched in May 2018, Quadrant has delivered generative learning projects and software to some of the world’s largest corporations in industries such as telecommunications, bioinformatics, industrial automation, Banking Financial Services and Insurance (BFSI) and computer vision/medical imaging. Handol previously served as D-Wave’s first Vice President, Business Development, in 2004-2005.

In addition to co-founding 2 technology start-ups, Handol has over 20 years of high-technology executive management experience in Silicon Valley, Asia and Canada at venture-backed start-ups and publicly-listed companies in cloud computing, mobile, semiconductors and embedded systems, as well as AI/machine learning. He is a co-founder and Vice-Chair and Director of the AI Network of British Columbia (AInBC) Association.  He began his career as a diplomat in the Trade Commissioner Service of the Canadian Department of Foreign Affairs and International Trade where he served as Consul at the Canadian Consulate in Silicon Valley before leaving government in 2001.

≪ Basic Course: Introduction to AI ≫

【Date】April. 4 (Thu) 15:30 - 16:30

● Introduction on AI: the Recent Trends and its Future

Naohiko Uramoto
The Japanese Society for Artificial Intelligence/
Chief Digital Technology Scientist,
Digital Transformation Group,
Emerging Technology and Business Development Office,
Mitsubishi Chemical Holdings Corp.

< Abstract >
The spread of artificial intelligence (AI) technology and its application is rapidly changing the business and the society. While becoming used in more complex and critical situations, we have seen some challenges. This presentation covers the latest trends in  AI research, development, and its application, and discusses the future of AI which can change the world.

< Profile >
Naohiko Uramoto joined IBM Japan in 1990, and worked in research and development of natural language processing, information integration, web technology, security, and cloud computing in IBM Research – Tokyo. Since 2015, He served as CTO of Bluemix & Block chain Garage Tokyo. In 2017, he joined Mitsubishi Chemical Holdings and is assigned to Advanced Technology & Business Development Office. As Chief Digital Technology Scientist, he is promoting digital transformation with AI. He was visiting associate professor at National Institute of Informatics, associate professor at Information Security Graduate University, and a board member of Information Processing Society. Since 2018, he serves as president of Artificial Intelligence Society and visiting professor at Kyushu University.

≪ AI Business in China ≫

【Date】April. 5 (Fri) 10:30 - 12:00

● Cloud & AI - the Twin Turbo Drive Engine for Digital Transformation

Jintong Zhu
Director of Data Intelligence,
International Business,
Alibaba Cloud

< Abstract >
Today's AI is heavily relying on the heavy training sample, and on the other hand, without AI, we will not see future cloud. So it's really like a twin turbo drive engine to the smarter business. This topic will explain how the first stage Cloud Computing, and the second stage Cloud AI drives the whole industry in digital and data transformation.

< Profile >
Mr. Jintong Zhu is the Director of Data Intelligence for International Business at Alibaba Cloud, the cloud computing business of Alibaba Group. Zhu is responsible for ET Brain, the AI solutions provided by Alibaba Cloud for industries. As an intelligent, adaptive technology platform for practical applications where data processing, machine learning and real-time processing are key, ET Brain has the ability to digitalize existing systems, optimizing operation in different sectors ranging from urban traffic flow and environment management, to healthcare practice. So far, ET Industrial / City / Aviation / Medical Brains have generated significant economic and social values. Prior to Alibaba, Zhu has over eleven years of experience in designing digitization solutions in Huawei for global telecom operators.

● A.I. in Practice

Shipeng Li
Corporate Vice President and Co-President of Research,
iFLYTEK Co., Ltd.

< Abstract >
In this presentation, Dr. Li will address the topics of artificial intelligence (A.I.), especially on A.I. in practical applications. He will present an overview about the state of A.I. development and illustrate the state-of-the-art A.I. technologies including speech, vision and cognition. He will give examples on how A.I. can make profound impact in breaking the communication barriers between human and machine, and between humans; in personalizing education; in assisting doctors to better serve patients. He will also point out the challenges A.I. development is facing and the possible directions A.I. should be heading. He will also share his ideas on how to collectively harness the power of A.I. for good. In his presentation, Dr. Li will also briefly introduce China's A.I. strategy and the endeavors of iFLYTEK in this field.

< Profile >
Dr. Shipeng Li is the Corporate Vice President and Co-President of Research, iFLYTEK Co., Ltd. (2018-now). He was CTO of IngDan Technology and Cogobuy Group (2016-2018) working on IoT innovation. He was a founding member of Microsoft Research Asia and served as Principal Researcher and the Research Area Manager (1999-2015). Dr. Li is the EiC of IEEE Transactions on Circuits and Systems for Video Technology (2018-19). He is quite influential in multimedia, IoT and artificial intelligence areas, and holds 196 US patents and published 330+ papers with 18900+ citations (H-Index:71). He has trained 4 MIT TR35 Innovator Award Winners. Dr. Li received B.S. (1988) and M.S. (1991) degrees from USTC and Ph.D. degree (1996) from Lehigh University.

≪ The Forefront of Deep Learning ≫

【Date】April. 5 (Fri) 13:00 - 14:30

【Supported by】Japan Deep Learning Association

● Recent Trends and Future Technologies of Deep Learning

Yutaka Matsuo
Project Associate Professor,
Graduate School of Engineering,
The University of Tokyo

< Abstract >
In this talk, we overview the trend of artificial intelligence especially on deep learning. We explain how innovative the deep learning (or representation learning) is from the viewpoint of AI history, and also how deep learning technologies would evolve over time in the near future. The possible change on society and business is also articulated in the talk.

< Profile >
Yutaka Matsuo is a project associate professor at Graduate School of Engineering, the University of Tokyo. He received his BS, MS, and Ph.D. degrees from the University of Tokyo in 1997, 1999, and 2002. After working at National Institute of Advanced Industrial Science and Technology (AIST) and Stanford University, he joined the faculty of University of Tokyo in 2007. He served as Editor-in-chief from 2012 to 2014, and as the chair of the ELSI committee from 2014 to 2018 at Japan Society for Artificial Intelligence (JSAI). He is now the president of Japanese Deep Learning Association (JDLA).

● The Latest NVIDIA's Platform that Drives AI & Deep Learning Further Development

Takeshi Izaki
Enterprise Div.,

< Abstract >
Professor Fei-Fei Li of the Stanford University has described Algorithm, Big Data and GPU as the three contributing factors of the rapid evolution of AI and deep learning. NVIDIA has developed not only the GPU on hardware but also the platform to support the progress. This session will introduce the latest platform information including the content of the presentation planned for GPU Technology Conference in San Jose, March 2019.  

< Profile >
After graduating from Tokyo University with material enginering degree in 1997, and a master degree in metallic engineering in 1999, joined Texas Instruments Japan Limited.  Worked as a DSP workshop instructor, and then took part in developing a DVD application processor, mobile phone video, image signal processor, and trans coder engine before becoming a overall manager of digital product marketing division. Involved in the wide range of business development from entertainment products to industrial devices. Joined NVIDIA in 2015 as a business development manager for deep learning, and currently looking over the enterprize business division. Board member of Japan Deep Learning Association.  

≪ AI x Blockchain ≫

【Date】April. 5 (Fri) 15:30 - 16:30

● The Power of Decentralization for Fostering Beneficial AGI

Ben Goertzel
SingularityNET Foundation

< Abstract >
The AI era is definitively upon us. As AI technology comes to pervade every area of industry, researches progress rapidly toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). Decentralized AI networks can provide more generally intelligent and robust solutions for practical enterprise problems, while also setting a more beneficial foundation for the longer-term emergence of advanced machine intelligence. 

< Profile >
Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, a blockchain-based AI platform company, and the Chief Scientist of Hanson Robotics. Dr. Goertzel also serves as Chairman of the Artificial General Intelligence Society, the OpenCog Foundation, the Decentralized AI Alliance and the futurist nonprofit Humanity+.
Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond. He also has decades of expertise applying AI to practical problems in areas ranging from natural language processing and data mining to robotics, video gaming, national security and bioinformatics. He has published 20 scientific books and 140+ scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence.

* Honorifics omitted. / Programs & speakers are subject to change.
* Recording and photography are strictly prohibited.