Annual conference

DAWN OF THE AI REVOLUTION

THE IMPACT ON LIFESTYLE AND BUSINESS


Saturday, ​April 21, 2018
12:00 PM – 9:30 PM

Taiwanese American Industrial Technology Association (TAITA) is glad to announce its 2018 Annual Conference scheduled on Saturday, April 21, 2018 at Crown Plaza San Jose.

The theme of this year’s annual conference is ”Dawn of the AI Revolution – the Impact on Lifestyle and Business”. The recent development in big data, deep learning, and hardware accelerators enables many possibilities in artificial intelligence. Rather than passively taking instructions from human beings, machines can actively learn to improve themselves and find better solutions to real-world problems.

AI revolution not only disrupts the technology industry itself, but also has huge impacts on our lifestyle, workplace, business and economy. What are the latest AI innovations in both software and hardware development? What are the opportunities and challenges in applying AI in different industries? How do we identify and establish successful business models as AI revolutionizes today’s business world? We hope that 2018 TAITA annual conference can bring some insights to these questions for our community.

The afternoon program is free, though pre-registration is required. Complimentary lunch will start at 12:00pm. Tickets are required for you to attend the banquet dinner and evening keynote sessions. We sincerely thank you for taking time to learn more about TAITA Annual Conference. Registration is now open, and we look forward to seeing you at the conference.

To attend our annual conference, please reserve your ticket via Eventbrite.

2018 TAITA Annual Conference Program


12:00 – 13:00
Registration and Networking / Complimentary Lunch Provided
13:00 – 13:05
Opening Remarks
13:05 – 13:50

Artificial Intelligence at Google
Dr. Pi-Chuan Chang (張碧娟), Senior Software Engineer, Google

13:50 – 14:35

Deep Learning for Industrial Systems – AI Infused Machinery
Jerry Chen, Business Development, Machine Learning & Data Science, NVIDIA

14:35 – 14:55
Coffee Break / Networking
14:55 – 15:40

Deep Learning for Internet of Visual Things – Hype or Hope?
Dr. Yen-Kuang Chen (陳彥光), Principal Researcher, Intel

15:40 – 16:25

AI Industry in Taiwan – Challenges and Opportunities
Ethan Tu (杜奕瑾), Founder and CEO, Taiwan AI Labs

16:25 – 17:10

Lark’s 20,833 AI Nurses- How AI Can Transform Healthcare?
Julia Hu, Cofounder and CEO, Lark Health

17:10 – 17:30
TAITA-SV Member General Meeting
17:30 – 18:30
Banquet Check-in and Networking
18:30 – 19:30
Dinner
19:30 – 19:55
Remarks by TAITA President, Recognition of Sponsors, Transition of Board Members
19:55 – 20:50

Banquet Keynote (in Mandarin):

The Establishment of Taiwania Capital and its Role in Taiwan’s Pursuit of Industrial Transformation


Dr. Rong-I Wu (吳榮義), Chairman, Taiwania Capital, Taiwan
20:50 – 21:00

TAITA Student Leadership Scholarship Award

21:00 – 21:15
Music Performance
21:15 – 21:40
Closing Remark

Click here to download our conference program!

Keynote Speakers


​Artificial Intelligence at Google

 

 

Dr. Pi-Chuan Chang (張碧娟)
Senior Software Engineer, Google

Abstract:

This talk will cover an introduction to artificial intelligence, machine learning, and deep learning. It will also provide an overview to various AI applications at Google, from products to other research areas such as in health and genomics.

Bio:

Pi-Chuan holds a CS PhD from Stanford, specializing in natural language processing (NLP) and machine translation. After Stanford, she has worked at 3 companies of very different sizes. She has led machine learning projects with public launches in various product areas, such YouTube video personalization, NLP features in search, semantic parsing for voice actions, and more powerful sequence models in LinkedIn search. Pi-Chuan also has a BS and MS from National Taiwan University, where she worked on better language modeling for Chinese speech recognition systems.

Pi-Chuan Chang (張碧娟) is currently a senior software engineer on the Genomics team in Google Brain. She is a key contributor to the open source software DeepVariant which was released in December 2017.

​Deep Learning for Industrial Systems – AI Infused Machinery

Jerry Chen
Business Development, Machine Learning & Data Science, NVIDIA

 

 

Abstract:
AI is already revolutionizing major sectors of our economy, including online marketing & advertising, consumer electronics, healthcare, media & entertainment, and defense & intelligence.

The next wave of AI promises to disrupt even larger and older sectors of our economy – manufacturing, energy, transportation, and robotics. These next applications for AI have the additional challenge of applying AI models to complex physical systems in harsh industrial environments for decades at a time. They also have the potential to unlock trillions of dollars of value through increased efficiency, greater worker productivity, and ultimately higher quality goods and infrastructure.

Bio:
Jerry Chen is responsible for developing NVIDIA’s ecosystem for artificial intelligence in industrial applications. Past roles include management positions in professional graphics, scientific HPC, and NVIDIA’s Inception Program for AI startups. He holds a Bachelors and Masters of Engineering from Cornell University and an MBA from the University of California at Berkeley.

Deep Learning for Internet of Visual Things – Hype or Hope?

 

 

Dr. Yen-Kuang Chen (陳彥光)
Principal Researcher, Intel

Abstract:

Internet of visual things can collect a massive amount of video contents. If the contents are properly analyzed, a great amount of information and even commercial values can be extracted. To minimize human efforts, many people have high hope of using deep learning. This is because deep learning has demonstrated the possibility solving many difficult problems in recent years. The optimism could be overly simplified and the enthusiasm could be exaggerated.

For example, challenges abound about the limitations of deep learning, in terms of, the amount of computation on the edge devices, the amount of bandwidth to the cloud, or the accuracy in the real-world applications. Meanwhile, there is significant progress in addressing the challenges, e.g., making training easier, making deep learning more lightweight via algorithm-hardware co-optimization, designing distributed deep learning environment, etc. Is deep learning for Internet of Visual Things hype or hope?

Bio:
Dr. Yen-Kuang Chen received his Ph.D. degree from Princeton University and is an IEEE Fellow. He is a Principal Engineer at Intel Corporation. His research areas span from emerging multimedia and IoT applications to computer architecture. He has 60+ US patents, 20+ pending patent applications, and 100+ technical publications. He is one of the key contributors to Supplemental Streaming SIMD Extension 3 and Advanced Vector Extension in Intel microprocessors. He has served as a program committee member of 50+ international conferences on Internet of Things, multimedia, video communication, image processing, VLSI circuits and systems, parallel processing, and software optimization. He was the Editor-in-Chief of IEEE Journal on Emerging and Selected Topics in Circuits and Systems, a Distinguished Lecturer of IEEE Circuits and System Society, and the founding chairs of Internet of Things special interest groups of IEEE Circuits and System Society and of IEEE Signal Processing Society.

AI Industry in Taiwan – Challenges and Opportunities

Ethan Tu (杜奕瑾)
Founder and CEO, Taiwan AI Labs

Abstract:
Artificial intelligence is expecting to have major and transformative impacts on the landscape of technology. Efforts to bolster the development of the Taiwan’s artificial intelligence sector are gaining momentum following the establishment of Taiwan AI Labs. Taiwan AI Labs aims to leverage the unique advantages in Taiwan and builds impactful AI solutions to solve the world’s problems.

We focus areas in Healthcare, Smart City and Human interaction that include researches ranging from natural language processing, computer vision to deep learning. This talk will provide insights into the challenges and opportunities in innovating AI in Taiwan.

Bio:
Ethan Tu is the founder of the Taiwan AI Labs, a privately funded research organization based in Taipei. While in college, he set up “PTT”, a terminal-based bulletin board system (BBS) based in Taiwan which now has more than 1.5 million registered users. In 1996, he worked with Jen-Ran Chen, founder of yam.com and transformed the website into a web portal. In 2003, he worked on DNA sequencing and cancer auto-detection related projects at National Institutes of Health (NIH). In 2006, he started to work at Microsoft Corporation and participated in the development of search software “Bing”. In 2012, he joined Microsoft’s artificial intelligence department and was promoted to chief research and development director of Asia Pacific. At that time, He was responsible for the creation and development of Microsoft’s smart voice personal assistant Cortana. He was called “Father of Cortana” by the industry. When Microsoft Research AI (MSR AI) which led by Dr. Heung-Yeung “Harry” Shum was founded in 2016, Ethan Tu served as Chief R&D Director of Asia-Pacific Region and was responsible for the research and development of cross-platform Cortana and the strategic cooperation of Microsoft AI in Asia. In March 2017, he found the Taiwan AI Labs and hoped to promote artificial intelligence development in Taiwan and advance the competitiveness of Taiwan Software Industry.

Lark’s 20,833 AI Nurses – How AI Can Transform Healthcare

 

 

Julia Hu,
Co-founder and CEO, Lark Health

 

 

Abstract:
Conversational AI has been evolving to help people in daily activities, but now technologies like conversational AI and IoT are improving so much it can be used to prevent and manage the world’s most crushing chronic diseases like diabetes and heart disease. The founder of Lark will talk about their journey in creating the first AI nurse ever to become fully medically reimbursed to replace a live healthcare professional.

Bio:
Julia Hu founded Lark Technologies to make healthcare more personal and compassionate through AI. Having managed her own chronic disease her whole life with her loving family and her pediatrician, Julia felt the incredible benefits of 24/7 compassionate care. Together with health experts and coaches from Stanford, Harvard and artificial intelligence technologists, they developed Lark- a 24/7 personal AI nurse that texts with people to help them manage and prevent chronic disease – anytime, anywhere.

A serial entrepreneur, Julia was named number one in “2015’s Top 10 Women in Tech to Watch” and “30 Under 30” by Inc. Magazine, “17 Female Healthcare CEOs to Know”, Becker’s Hospital Review. Prior to founding Lark Technologies, Julia ran global startup incubator Clean Tech Open, her own green buildings startup, and was an EIR at Stanford’s StartX. She received her Master’s and Bachelor’s degrees from Stanford, and half an MBA from MIT before leaving to start Lark. Julia has advised President Obama, is a faculty member at Singularity University, on the board of the Council of Diabetes Prevention, and speaks regularly on digital health, IoT, and innovation on CNN, NBC, Bloomberg, MIT, and more.

​Julia stays fit by attending hip-hop dance classes and chatting with Lark about her snacks.

The Establishment of Taiwania Capital and its Role in Taiwan’s Pursuit of Industrial Transformation

 

 

Dr. Rong-I Wu (吳榮義)
Chairman, Taiwania Capital

Abstract:
Prior to the year 2000, the economy of Taiwan grew very fast, GDP growth was 8% annually in 1980 – 2000. However, the number went down to only 4% in 2000 – 2017. The fundamental reason for the drastic drop is due to large Taiwan investment to China. Since 2000, China has attracted huge Taiwanese investment by providing cheap labors and lands.

The growth of Taiwan’s domestic capital formation dropped from 8% annually before 2000 to less than 2% thereafter. As a consequence, the unemployment rate rose, and the real salary decreased. The growth of national consumption thus decreased from 7% a year to less than 3% during the same period.

How Taiwan increases the domestic investment and drives industrial transformation is key to the rapid economic development in the future. Hence, the government proposed the 5+2 industrial innovative development plan, which include IoT, Biomedicine, green energy, smart machinery, defense, new agriculture and circular economy. A national investment company, Taiwania Capital,
was established to lead investment in the 5+2 industries as the pioneer of Taiwan’s industrial transformation and development.

Bio:
Wu Rong-I is the Chairman of Taiwania Capital Management and Senior Advisor to the President of Taiwan, and the Chairman of Taiwan Water Resources and Agricultural Research Institute, the Board Member of Taiwan Thinktank, and Senior Adviser of the Taiwan Institute of Economic Research.

Dr. Wu received BA and MA in Economics, National Taiwan University in 1962 and 1965, and Ph.D. in Economics in 1971 from the Catholic University of Louvain, Belgium. He is specialized in economic development, macroeconomics and regional economic cooperation.

For the past decades, he has served as Chairman of Taiwan Brain Trust, Vice Premier of the Executive Yuan, President of the Taiwan Institute of Economic Research, Chairman of Taiwan Stock Exchange, and Chairman of Taiwan Futures Exchange. He was Advisor to the Taiwan delegation to the APEC Ministerial and Leaders’ Meetings. He was also the Professor and Chairman of the Department of Economics, National Chung-Hsing University.

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