2021 Virtual Ken Kennedy AI and
Data Science Conference

October 25-27, 2021

*The conference is virtual with outdoor reception: October 25-26*
*October 27 will be an in-person add-on day*

Click here to view the presentation recordings from the conference.

 

The agenda for the conference,  October 25-26, includes invited keynote speakers, technical program, workshop, sponsors, student poster presentations, and an outdoor networking reception (Tuesday, October 26 from 4:30PM – 6:30PM at Holman Draft Hall). Wednesday, October 27 will be an in-person add-on day with a technical workshop highlighting deep learning and high-performance computing.

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 strike a balance between applied and fundamental data science, and academia and industry. This combination of research and application discussion will create a venue for networking, collaboration, and partnership building.

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