Artificial Intelligence: Risks and Advances (Sold Out)

美洲中国工程工程师学会（CIE-USA）西雅图分会CIE/USA-Seattle is a 501(c)(3) non-profit promoting professional and academic excellence in the Asian American community through annual programs across the Greater Seattle area.

Daniel Ma

Come learn from the AI experts, scientists on the AI and machine learning application and its impact to our life. We’ll be talking about what really drives great AI, risks and advances. The speakers are the scientists and executives from top hi-tech companies in Seattle region. Purposes:
<UL>
<LI>
Learn from top AI scientists about risks and advances in AI and machine learning
</LI>
<LI>
Connect with AI experts, leaders and executives from hi-tech companies
</LI>
<LI>
Provide opportunities to hi-tech companies to recruit talents from industry.
</LI>
</UL>
Tech Talk Speakers:
<UL>
<LI>
Dr. Li Deng, Chief AI Officer at Citadel
</LI>
<LI>
Dr. Denny Zhou, Senior Staff Research Scientist at Google Brain
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Dr. Jianfeng Gao, Partner Research Manager at Microsoft AI
</LI>
</UL>
Panel Discussion Speakers: 
 (Active executives/rresearchers in AI and machine learning from local top hi-tech companies)
<UL>
<LI>Dr. Li Deng, Chief Artificial Intelligence Officer of Citadel</LI>
<LI>Dr. Denny Zhou, Senior Staff Research Scientist at Google Brain</LI>
<LI>Dr. Jianfeng Gao, Partner Research Manager at Microsoft AI</LI>
<LI>Dr. Lihong Li, Staff Research Scientist at Google Brain</LI>
<LI>Dr. Anne Kao, Senior Technical Fellow at Boeing</LI>
<LI>Dr. Anne Kao, Senior Technical Fellow at Boeing </LI>
<LI>Shankar Vaidyanathan, Founder and CEO of Noonum.ai</LI>
</UL>
Moderators: Dr. Li Deng and Daniel Ma
Agenda（4/20 Saturay）
<UL>
<LI>2:00-2:30pm: Check-in and Greet</LI>
<LI>2:30-3:30pm: Tech talks</LI>
<LI>3:30-4:15pm: Panel discussion</LI>
<LI>4:15-5:00pm: Networking</LI>
</UL>
Remarks 
<UL>
<LI>Simple refreshments, drinks.</LI>
<LI>Please remember to bring your driver’s license or ticket. </LI>
<LI>Free parking for all attendees</LI>
<LI>Appreciated for any donation</LI>
</UL>
 
Speakers Bio
Dr. Li Deng 邓力   美国对冲基金公司Citadel首席人工智能官
Dr. Li Deng has been the Chief Artificial Intelligence Officer of Citadel since May 2017. Prior to Citadel, he was the Chief Scientist of AI, the founder of Deep Learning Technology Center, and Partner Research Manager at Microsoft and Microsoft Research, Redmond (2000-2017). Prior to Microsoft, he was an assistant professor (1989-1992), tenured associate (1992-1996), and full professor (1996-1999) at the University of Waterloo in Ontario, Canada. He also held faculty or research positions at Massachusetts Institute of Technology (Cambridge, 1992-1993), Advanced Telecommunications Research Institute (ATR, Kyoto, Japan, 1997-1998), and HK University of Science and Technology (Hong Kong, 1995). He is a Fellow of the IEEE (since 2004), a Fellow of the Acoustical Society of America (since 1993), and a Fellow of the ISCA (since 2011). He has also been an <A HREF="https://www.ece.uw.edu/people/li-deng/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Affiliate Professor at University of Washington</A>, Seattle (since 2000).
He was an elected member of  the Board of Governors of the IEEE Signal Processing Society, and was Editors-in-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing (2008-2014), for which he received the IEEE SPS Meritorious Service Award. In recognition of the pioneering work on disrupting speech recognition industry using large-scale deep learning, he received the 2015 <A HREF="https://www.microsoft.com/en-us/research/blog/deng-receives-prestigious-ieee-technical-achievement-award/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">IEEE SPS Technical Achievement Award</A> for “Outstanding Contributions to Automatic Speech Recognition and to Deep Learning”. He also received dozens of best paper and patent awards (the latest — 2018 IEEE Signal Processing Society Best Paper Award) for the contributions to artificial intelligence, machine learning, information retrieval, multimedia signal processing, speech processing and recognition, and human language technology. He is an author or co-author of six technical books on <A HREF="https://en.wikipedia.org/wiki/Deep_learning" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">deep learning</A>, <A HREF="https://en.wikipedia.org/wiki/Speech_recognition" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">speech processing</A>, pattern recognition and machine learning, and, the latest, <A HREF="https://www.springer.com/us/book/9789811052088#aboutBook" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">natural language processing</A> (Springer, June 2018).
 
Dr. Denny Zhou 
Dr. Zhou is a Senior Staff Research Scientist in <A HREF="https://ai.google/research/teams/brain" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Google Brain</A>. Prior to joining Google, he was a Principal Researcher in Microsoft Research, where he conducted basic research in machine learning from 2006 to 2017. Before that, he was a Research Scientist at the Max Planck Institute for Intelligent Systems, the <A HREF="http://www.is.tuebingen.mpg.de/research/dep/bs.html" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Empirical Inference Department</A> headed by <A HREF="http://www.is.tuebingen.mpg.de/nc/employee/details/bs.html" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Bernhard Schölkopf</A>, from 2002 to 2005, followed by a short stay at the <A HREF="http://www.nec-labs.com/research-departments/machine-learning/machine-learning-home" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Machine Learning Department</A> of <A HREF="http://www.nec-labs.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">NEC Laboratories America</A> (Princeton campus) with <A HREF="http://en.wikipedia.org/wiki/Vladimir_Vapnik" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Vladimir Vapnik</A>. Dr. Zhou obtained PhD in Artificial Intelligence from Chinese Academy of Sciences, Institute of Automation, with a Presidential Award.
Dr. Zhou interested in all aspects of machine learning, from supervised to weakly supervised to unsupervised learning, and from theory to algorithms to systems. He is currently working on: (1) Learning + knowledge. In many domains, it may not be easy to obtain a large amount of training data, but we may have had a great deal of knowledge accumulated over a long time. Exploiting knowledge could lead to effective learning with limited data; (2) Explainable AI. In many scenarios, only outputting predictions or even predictions plus statistical confidence may not be sufficient. We need to show the rationale underlying the predictions.
Dr. Jianfeng Gao 高剑峰
Jianfeng Gao is Partner Research Manager in the Deep Learning Group at Microsoft Research AI. IEEE Fellow. From 2014 to 2017, Dr. Gao was Partner Research Manager at in Business AI at Microsoft AI & Research and Deep Learning Technology Center (DLTC) at Microsoft Research, Redmond. He lead the development of AI solutions to Predictive Sales and Marketing. He also work on deep learning for text and image processing and lead the development of AI systems for dialogue, machine reading comprehension, and question answering. 
From 2006 to 2014, He was Principal Researcher at Natural Language Processing Group at Microsoft Research, Redmond. He worked on Web search, query understanding and reformulation, ads prediction, and statistical machine translation. From 2005 to 2006, he was a research lead in Natural Interactive Services Division at Microsoft. He worked on Project X, an effort of developing natural user interface for Windows. From 2000 to 2005, he was Research Lead in Natural Language Computing Group at Microsoft Research Asia. He, together with his colleagues, developed the first Chinese speech recognition system released with Microsoft Office, the Chinese/Japanese Input Method Editors (IME) which were the leading products in the market, and the natural language platform. 
 
Dr. Anne Kao, Senior Technical Fellow at Boeing
Anne's passion is in language and text data. She enjoys combining her experience in computer science, philosophy of language, and foreign language teaching to solve challenging problems with a team of multi-disciplinary experts.
Specialties: Text mining, text analysis, natural language processing, knowledge management, social network analysis, link analysis, visual analytics.
 
Dr. Shankar Vaidyanathan, Founder and CEO of Noonum
Shankar is the founder and CEO of Noonum, a fintech startup here in Seattle, providing actionable insights to investment professionals, equity analysts, and portfolio managers. Noonum leverages natural language processing on unstructured text to continually build and update a temporal semantic knowledge graph connecting companies to its competitors, suppliers, customers, and partners. In addition, the graph connects companies to the impactful geopolitical entities, macroeconomic factors, people, places, and products. Prior to Noonum, Shankar was with Microsoft spearheading engineering efforts for Internet of Things, Bing advertising, and Visual Studio.

Research Lecture Halls, Building 99/1919 of Microsoft Campus

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Artificial Intelligence: Risks and Advances (Sold Out)

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