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AI Partners

Overview


The University of Michigan Artificial Intelligence (AI) Partners Program provides a formal venue for a community of AI leaders to convene and collaborate.

The AI Partners Program, structured around the themes of “Insight” and “Interaction”, will provide access to cutting-edge research in the field of AI, as well as close interactions with renowned experts in core AI topics including machine learning, computer vision, natural language processing, robotics, precision health, human-computer interaction, data mining, intelligent agents, and reasoning.

Built around four technological neighborhoods — data mining, precision health, conversational systems and robotics — the Michigan AI Partners will focus its efforts on defining new thinking and applications for AI.

AI Partners Core Values

Research Results• Seed grant for research programs
Partnership • Participate as a guest lecturer 
• Participate as a visiting scholar 
• Attend/participate in AI Seminar Series
• Attend/participate in the annual Michigan AI Symposium
Talent• Early access to students via named graduate fellowship during the term of participation 
• Invitation to attend networking events with faculty and graduate students
Collaboration• Opportunity to collaborate on joint proposals and research projects
Knowledge Exchange • Early awareness of federal and state funded research
• Invitation to the annual Michigan AI Symposium
• Bi-annual roundtables with 1-3 faculty for research exchanges on topics of interests
• Immediate access to open source materials
Community• Invitation to events with the broader university and local community to educate students and underrepresented minorities about opportunities in AI
Advisory Board• Membership on the Michigan AI Partners Advisory Board, which provides insight into impactful problems and guidance on research directions for the Partners Program

For more details please contact:

Director Michigan AI: Rada Mihalcea (mihalcea@umich.edu) 734.647.4088

Business Engagement Center: Senior Director, Nell Dority (ndority@umich.edu) 734.615.8998