Artificial Intelligence and Machine Learning Conference
Chatbots, newsfeeds, conversational interfaces, data-mining tools, location-aware technologies, search engines, smart appliances, and self-driving cars, what do all these have in common? They all use a form of artificial intelligence (AI). As tech giants shift from the mobile to an AI world, we have entered the age of AI.
Last year, at the NECINA technology conference, we invited respected industry leaders to share with us the status of AI and Machine Learning. This year in 2016, so many exciting breakthroughs have happened, and AI has become white-hot since AlphaGo beat one of the world's best GO players. Meanwhile, companies are pushing their personal assistant product such as Alexa, Siri, Facebook's M into people's homes, that will help connect, organize and automate nearly every area of our lives. The extraordinary explosion of data, applications of deep learning algorithms, cloud storage has unlocked powerful AI capabilities, which will impact both our consumer and business lives. Also, pioneers of the industry have started to collaborate, forming alliance such as open AI, partnership on AI in order to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible. Let's get together again at NECINA 2016 AI Conference. Share your thoughts with our great speakers and explore how AI applies to the real world and how your company can harness the power of these disruptive technologies.
October 29th 2016, 9:00 AM – 1:30 PM
50 Vassar St, Cambridge, MA 02139
MIT Building 26-100
The suggestion is to use public transportation and get off at Redline, Kendall Square stop.
There is limited free parking along Memorial Drive and the E51 lot on weekends. Paid garage is also available on Vassar St.
Agenda (Subjective to changes)
|9:00 - 9:20 AM||Registration and Breakfast|
|9:20 - 9:25 AM||Welcome Messages from Conference Chairs|
|9:25 - 9:30 AM||NEW 5.0 Kick Off Announcement|
|9:30 - 10:00 AM||Keynote from Jeff Palmucci - |
Deriving Insights from Review Text at TripAdvisor
|10:00 - 11:30 AM||Special Talks on AI & Workshop|
|11:30 - 12:00 PM||Albert Ma - "Machine Learning with Graph DB"|
|12:00 -12:30 PM||Moderator: Tony Tian - "Brain Power" Panel Discussion|
|12:30 - 1:30 PM||Lunch and Networking|
Conference Co-Chair: Andy (Zhenyu) Li, Vice President of NECINA
Victor Cao, Director of NECINA DIG
Conference Co-Host: MIT CSSA
Partner: Synced 机器之心 燎原
Register NOW >>
Confirmed Speaker (Topics keep updating)
Keynote: Deriving Insights from Review Text at TripAdvisor. - Jeff Palmucci
Abstract: TripAdvisor has 385 million reviews, which we have used to produce a set of keywords for each hotel or restaurant. These keywords form a keyword cloud that summarizes each location. The keywords can also be clustered to create collections of hotels that are related in interesting ways. We will show the Natural Language Processing (NLP) approaches we use to find our keywords, and give examples of how they help people research the perfect trip.
Director of Machine Intelligence at TripAdvisor
As a serial entrepreneur, Jeff has started several companies. He was VP of Software Development for Optimax Systems, a developer of scheduling systems for manufacturing operations acquired by i2 Technologies. As a Founder and CTO of programmatic hedge fund Percipio Capital Management, he helped lead the company to an acquisition by Link Ventures. Jeff is currently leading the Machine Learning group at Tripadvisor, which does various machine learning projects across the company including natural language processing, review fraud detection, personalization, information retrieval, and machine vision. Jeff has publications in natural language processing, machine learning, genetic algorithms, expert systems, and programming languages. When Jeff is not writing code, he enjoys going to innumerable rock concerts as a professional photographer.
Chief Innovation Officer, Insigma Hengtian Software, Ltd.
Mr. Albert Ma is the Chief Innovation Officer of Insigma Hengtian Software, Ltd. He has over 25 years of IT management and software development experience. Before joining Hengtian, Mr. Ma was the Chief Information Officer of the State Street Technology Center for several years in Hangzhou, China. He was the core team member in setting up the IT operation locally and migration of strategic applications to the Hangzhou office. Mr. Ma graduated from the University of Queensland with a Masters Degree in Technology Management and an MBA from the Univeristy of Hull. He is a certified Project Management Professional and Certified IT Professional. As the company’s Chief Innovation Officer, Mr. Ma manages the R&D and innovation activities of the company. He makes leading research efforts in technical solutions in Big Data Analytics, Cloud Computing, Mobile, Machine Learning and Software Engineering Automation.
Yun Raymond Fu
Associate Professor of Electrical and Computer Engineering at Northeastern University
Raymond Fu received the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign. He is an interdisciplinary faculty member affiliated with College of Engineering and the
College of Computer and Information Science at Northeastern University since 2012. His research interests are Machine Learning, Computational Intelligence, Big Data Mining, Computer Vision, Pattern Recognition, and Cyber-Physical Systems. He has extensive publications in leading journals, books/book chapters and international conferences/workshops. He serves as associate editor, chairs, PC member and reviewer of many top journals and international conferences/workshops. He received seven Prestigious Young Investigator Awards from NAE, ONR, ARO, IEEE, INNS, UIUC, Grainger Foundation; seven Best Paper Awards from IEEE, IAPR, SPIE, SIAM; three major Industrial Research Awards from Google, Samsung, and Adobe, etc. He is fellow of IAPR, a Lifetime Senior Member of ACM and SPIE, Lifetime Member of AAAI, OSA, and Institute of Mathematical Statistics, member of Global Young Academy (GYA), INNS and Beckman Graduate Fellow during 2007-2008.
As a serial entrepreneur, Dr. Fu is the founder and co-founder of three start-up companies that commercialize artificial intelligence products and services. Particularly, he is the co-founder and was CTO of TVision Insights Inc., a rising star company which focuses on inventing novel computer vision and big data technology to bring the effectiveness of digital media to the “offline” world of television. It aims to be the first to become data management platform for television and enable the real-time information exchange. The company was the winner of the Microsoft Innovative Award 2015, Mass Challenge 2015, MIT Innovation Initiative 2015, $100K MIT Entrepreneurship Competition 2015, MIT Enterprise Forum 2015, First prize of NECINA NEW Accelerator 2015, etc.
Associate Professor of Computer Science at Brandeis
Dr. Hong’s main research focus on Machine Learning, Image Processing, Data Mining, and their applications in Bioinformatics, Biomedical Informatics, Computational Cognitive Science, and Intelligent Education. His lab has developed novel advanced techniques to analyze heterogeneous data, such as image, video, text, audio, EEG, and so on. His main contributions include pioneering in developing high-content neuronal screening techniques, integrating heterogeneous biological data to automatically infer multi-cellular regulatory networks, detect protein-protein interactions by analyzing Mass Spectrometry data, electronic healthcare record analysis, machine-learning driven image retrieval, audio-driven face animation, probabilistic reasoning in multimodal human-computer interfaces.
Co-founder of Adelphic
Changfeng is Co-founder of Adelphic Inc., a leader in mobile and cross-device programmatic advertising and big data company. A serial entrepreneur and innovator, changfeng spent his most of his career advancing state-of-arts in data and AI/machine learning technologies and creating practical products and companies for the real world. He founded early data and machine learning companies Predictive Data and Cybrum, and hold leadership (chief scientist) roles in a number of other companies that helped define industry landscape in higher performance data processing (called big data today), machine learning/data mining, and advertising. Products and companies that he led in developing are now part of Apple, Nokia, Facebook, IBM, Nokia, and Oracle. Changfeng began his career with the data-mining group at Thinking Machines Corporation; the company started to build the world’s first AI and turned into a dominant supercomputing company, later acquired by Oracle. Changfeng earned his Ph.D. at the University of Pennsylvania, where completed his thesis on the theoretical foundation of learning machines.
Welcome to NECINA, a 20-year-old premier non-profit organization for professionals that innovate and build their success through global information exchange and local professional networking, through investing their future with the adoption of new technology and best business practices, and embrace the change in Information Technology industry in the New England area.NECINA will create value for you by brief you on the latest Technology, connect you with superb Talents and Experts, help you build your professional and social Networks, and support you in developing your career and startup business.
NECINA is a place that you can Connect, Create and Grow. Our events and programs will establish rewarding experience, show how to develop win-win relationships, and deliver results in a cost effective way. NECINA events and programs are created and run by volunteers with constant exercises in team building and technology adoptions. Involving with NECINA will be an investment in anyone’s future.
For more information, visit us at www.necina.org. To learn the upcoming events, join our mailing list at http://bit.ly/necinanews