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The 14th International Conference on Emerging Technologies for a Smarter World 

Machine Learning |  Artificial Intelligence | Blockchain | Personalized Medicine
 October 2018 | The Center of Excellence in Wireless and Information Technology (CEWIT) | Stony Brook, New York, 11794, USA

 

CEWIT2018 will center on technologies and innovations in Machine Learning,   Artificial Intelligence  , Blockchain   and, Computational  Medicine .

Organized by the New York State Center of Excellence in Wireless and Information Technology (CEWIT) at Stony Brook University, our international conference is a destination for researchers, innovators and entrepreneurs, across borders and disciplines. Last year’s CEWIT2018 conference attracted over 200 industry and academic participants from 6 countries. Sixty presenters took the podium in 10 breakout sessions. CEWIT2018 also hosted 30 US and international exhibitors across many industry sectors, ranging from software and telecommunications to healthcare, media and law.

Continuing the tradition since the inception of our conference in 2003, CEWIT2019 will be a premier forum for presentations of cutting-edge research as well as the exchange and transfer of emerging technologies and innovative applications. We are expecting renowned speakers, presenters and panelists from industry, academia and government, in a series of plenary presentations and discussions - all for an international audience ready to network!

WHO

The New York State Center of Excellence in Wireless and Information Technology (CEWIT) at Stony Brook University with IEEE Region 1 and its Long Island Section

WHAT

CEWIT2018, the 14th  International Conference on Emerging Technologies for a Smarter World

WHEN

1 day conference beginning the morning of  October 2018 .

WHERE

CEWIT's 100,000 s.f. next generation research and educational facility at Stony Brook University

WHY

To build connectivity between academia and industry in a way that pursues the most effective and efficient means of securing a smarter world for us all