Events | Duke Kunshan University

Events

2018 Duke International Forum

Artificial Intelligence: Drivers of Cross-border Competition and Collaboration Kunshan, China
May 27th, 2018

The 2018 Duke International Forum created a platform for open discussions on the opportunities and complexities of AI development around the world. What are the effects of government policies on scientific advancement and private-sector investment? Where do we see evidence that collaboration among countries, industries and sectors is a fruitful path? Which industries are most at risk of being disrupted? How are entrepreneurs responding? How are the legacy companies responding? Where are the biggest investment opportunities? How will current talent shortages and legal and regulatory issues be resolved?

More than 25 global leaders, entrepreneurs and experts from China, the United States and Europe offered their insights on these and other critical issues that will govern the future of AI and its impact on society. Professor Xin Li, Director of the institute of Applied Physical Science and Engineering (iAPSE) and the Data Science Research Center (DSRC) served as MC, speaker for the Dialogue: Policies, Technologies and Markets the Transformation of an Industry, as well as a panelist.

The 2018 Duke International Forum created a platform for open discussions on the opportunities and complexities of AI development around the world.

What are the effects of government policies on scientific advancement and private-sector investment? Where do we see evidence that collaboration among countries, industries and sectors is a fruitful path? Which industries are most at risk of being disrupted? How are entrepreneurs responding? How are the legacy companies responding? Where are the biggest investment opportunities? How will current talent shortages and legal and regulatory issues be resolved? More than 25 global leaders, entrepreneurs and experts from China, the United States and Europe offered their insights on these and other critical issues that will govern the future of AI and its impact on society. Professor Xin Li, Director of the institute of Applied Physical Science and Engineering (iAPSE) and the Data Science Research Center (DSRC) served as MC, speaker for the Dialogue: Policies, Technologies and Markets the Transformation of an Industry, as well as a panelist.

The Symposium on Artificial Intelligence Based Assistive Diagnosis and Treatment for Autism Spectrum Disorders Kunshan, China
May 24th, 2018

AI research and application for medical and clinical uses have always been an important field of interdisciplinary research. In recent years, advances in speech processing, computer vision, natural language processing, emotional computing, and machine learning have been gradually applied to automatic analysis and modeling of medical and behavioral data. It will be helpful for overcoming some limitations in the real clinical setting. Autism Spectrum Disorder (ASD), also known as autism, is characterized by high prevalence (1/68) (Christensen et al., 2016), early onset (18 months before), unknown etiology, social interaction and communication disorders, repetitive behavior, and narrow interests and activities.

ASD is a series of highly heterogeneous disorders of nervous system development. Early diagnosis and intervention of ASD are crucial to the prognosis of ASD. Through a series of keynote speeches, Q&A sessions, and discussion sessions, the forum explored the challenges, opportunities, and research findings in assisting the diagnosis and treatment of ASD using AI and quantitative data analysis techniques. At the same time, we invited experts from the fields of psychology, global health, and social sciences to share their research findings and explore interdisciplinary research in the field of autism. Nearly 150 experts and scholars from universities, research institutes, medical institutions, industry, foundations, media and other industries participated in this event.

AI research and application for medical and clinical uses have always been an important field of interdisciplinary research.

In recent years, advances in speech processing, computer vision, natural language processing, emotional computing, and machine learning have been gradually applied to automatic analysis and modeling of medical and behavioral data. It will be helpful for overcoming some limitations in the real clinical setting. Autism Spectrum Disorder (ASD), also known as autism, is characterized by high prevalence (1/68) (Christensen et al., 2016), early onset (18 months before), unknown etiology, social interaction and communication disorders, repetitive behavior, and narrow interests and activities. ASD is a series of highly heterogeneous disorders of nervous system development. Early diagnosis and intervention of ASD are crucial to the prognosis of ASD. Through a series of keynote speeches, Q&A sessions, and discussion sessions, the forum explored the challenges, opportunities, and research findings in assisting the diagnosis and treatment of ASD using AI and quantitative data analysis techniques. At the same time, we invited experts from the fields of psychology, global health, and social sciences to share their research findings and explore interdisciplinary research in the field of autism. Nearly 150 experts and scholars from universities, research institutes, medical institutions, industry, foundations, media and other industries participated in this event.

2018 The Second International Duke Kunshan University Innovation Forum AI: Recent Development and Emerging Applications Kunshan, China
May 22nd, 2018

On May 22, 2018, Duke Kunshan University and Kunshan industrial Technology Research Institute jointly held the 2018 the Second International Duke kunshan University Innovation Forum and invited Prof. H. T. Kung from Harvard University and a member of the American Academy of Engineering; Prof. Stanley Osher from University of California, Los Angeles; Prof. Jamal Deen from McMaster University , Fellow  of the Australian Academy of Sciences and Engineering; Ibing Yu, Vice-President of Monash University; Prof. David Z. Pan from the University of Texas at Austin; Dr. Jack Chen, Chief Data Officer of Dell Corporation; Prof.

Krishnendu Chakrabarty, Chair and Professor of the Department of Electronic and Computer Engineering, Duke University along with around 120 famous experts and entrepreneurs from home and abroad to gather in Kunshan to discuss the latest progresses and application prospects of artificial intelligence technology in various fields.

On May 22, 2018, Duke Kunshan University and Kunshan industrial Technology Research Institute jointly held the 2018 the Second International Duke kunshan Uni

versity Innovation Forum and invited Prof. H. T. Kung from Harvard University and a member of the American Academy of Engineering; Prof. Stanley Osher from University of California, Los Angeles; Prof. Jamal Deen from McMaster University , Fellow  of the Australian Academy of Sciences and Engineering; Ibing Yu, Vice-President of Monash University; Prof. David Z. Pan from the University of Texas at Austin; Dr. Jack Chen, Chief Data Officer of Dell Corporation; Prof. Krishnendu Chakrabarty, Chair and Professor of the Department of Electronic and Computer Engineering, Duke University along with around 120 famous experts and entrepreneurs from home and abroad to gather in Kunshan to discuss the latest progresses and application prospects of artificial intelligence technology in various fields.