Data science is rapidly evolving as an essential interdisciplinary field, where advances often result from combinations of ideas from several disciplines.
This annual conference, is for professionals and practitioners working in machine learning, deep learning, data mining, artificial intelligence, or big data problems broadly. Recognizing that discovery and innovation happens at interfaces of disciplines and communities, the conference aims to bring together a diverse set of people from multiple communities spanning academia and industry.
The conference will be a research, development, and innovation (RD&I) gathering, bringing together university and research labs (technology developers), key industry verticals (technology consumers), and IT industry (technology providers) that are looking at opportunities created by advances in AI, data analytics, machine learning and deep learning. It is structured to facilitate engagement and networking across all of these boundaries. The conference is specifically interested in highlighting use-cases that translate data to knowledge enabled by data and fueled by advances in data analytics, machine learning, deep learning, and AI.
Student & postdoc poster proposals due Monday, September 23 end of day (CDT). Submit a poster >>
Oct 14, 2019 12:00:00 AM
The Ken Kennedy Institute at Rice University
Rice University, Houston, TX