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Artificial Intelligence: Risks and Advances
April 20 @ 2:00 pm - 5:00 pm
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.
Learn from top AI scientists about risks and advances in AI and machine learning
Connect with AI experts, leaders and executives from hi-tech companies
Provide opportunities to hi-tech companies to recruit talents from industry.
Tech Talk Speakers:
Dr. Li Deng, Chief AI Officer at Citadel
Dr. Denny Zhou, Senior Staff Research Scientist at Google Brain
Dr. Jianfeng Gao, Partner Research Manager at Microsoft AI
Panel Discussion Speakers:
5 to 10 guest speakers (active researchers in AI and machine learning from local top hi-tech companies)
- Dr. Li Deng, Chief Artificial Intelligence Officer of Citadel
- Dr. Denny Zhou, Senior Staff Research Scientist at Google Brain
- Dr. Jianfeng Gao, Partner Research Manager at Microsoft AI
- Dr. Lihong Li, Staff Research Scientist at Google Brain
- Dr. Anne Kao, Senior Technical Fellow at Boeing
- TBD, Recruiter
Moderators: Dr. Li Deng and Daniel Ma
- 2:00-2:30pm: Check-in and Greet
- 2:30-3:30pm: Seminar talks
- 3:30-4:00pm: Panel discussion
- 4:00-5:00pm: Networking
- Enjoy refreshments, drinks, and meet AI scientists and executives.
- Please remember to bring your driver’s license or other government issued ID.
- Free parking for all attendees
- Cost: Free of Charge. Appreciated for any donation
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 , 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 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 , , pattern recognition and machine learning, and, the latest, (Springer, June 2018).
Dr. Denny Zhou
Dr. Zhou is a Senior Staff Research Scientist in . 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 headed by , from 2002 to 2005, followed by a short stay at the of (Princeton campus) with . 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