UofSC’s AI Institute: Why? What? How? to achieve international research prominence and regional economic impact

Monday, February 11, 2019 - 10:00am to 11:00am
Storey 2277

Prof. Amit P. Sheth
Director, Kno.e.sis Center of Excellence, Wright State University

Abstract: During a WEF2019 conversation that also included Satya Nedella (Microsoft CEO), Steven Pagliuca (CEO of Bain Capital) said: “Every company now is an AI company. The industrial companies are changing, the supply chain...every single sector, it’s not only tech.” In tandem with 55% global growth rate, South Carolina companies are also undergoing AI-driven transformation. This provides an exciting context for UofSC to offer regional, national, and global leadership in AI. UofSC’s AI Institute can provide the nerve center of a campus-wide effort, resulting in highly sought-after graduates, research prominence, and technological innovations with significant economic impact.

The detailed nature of the AI Institute would evolve through extensive conversations across the campus with other stakeholders. In this talk, I seek to share some principles, defining characteristics, and the steps the AI Institute can take to convert the vision into reality. I will present the following details:

  • Planned subareas of research focus and prominence with an eye on regional economic impact and international research recognition
  • Expected core and affiliated faculty size/composition, achieved via recruiting exceptional talent; robust multidisciplinary collaborations with most colleges across campus as well as industry and public partners; and a strong industry network to benefit students
  • External funding to power the growth – types of funds and funding sources,
  • Outcomes, impacts, and success measures: student success, research prominence, per capita faculty funding growth, faculty recognition, technology-driven economic impact, and improving Carnegie R1 standing and CSE standing.
  • Recent AI success has been due to unprecedented computational power enabling the training of deep neural networks. I will argue that future successes will be due infusing knowledge in the learning process and using semantic – cognitive – perceptual computing, which I will illustrate by an example research and application effort in personalized digital health.

Date and Time: Monday, February 11, 10:00 am – 11:00 am.
Location: Storey 2277