The 2nd International Conference on Big Data and Artificial Intelligence
In recent years, "Big Data" has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. Artificial Intelligence is a branch of computer science that aims to create intelligent machines that teach themselves. Much of AI's growth has occurred in the last decade. The upcoming decade will be the greatest technological revolution in man's history.
The 2nd International Conference on Big Data and Artificial Intelligence (BDAI 2019) will be held in Guangzhou, China during June 22-24, 2019. The aim as well as objective of BDAI 2019 is to present the latest research and results of scientists related to Big Data and Artificial Intelligence topics.
It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series (final approval pending).
Papers will be reviewed based on the relevance, innovation, integrality, the “literary” presentaiton and the technical depth. Manuscript should contains text, in sequence of title, authors and their affiliations, abstract, keywords, main text part, acknowledgments, references and figure/table captions list in Word document (maximum 10 pages, including references and tables). Papers should present in a concise way the purpose of the paper, main theoretical framework/ assumptions and if applicable research methods and preliminary and/or expected results.
|Submission Deadline: April 30th, 2019||Notification Date: May 24th, 2019|
|Registration Deadline: May 31th, 2019||Conference Dates: June 22-24, 2019|
The BDAI 2019 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Read more
Prof. Wang Jun
Prof. Steven Guan
Prof. Yuanqing Li