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Notice

AMS Seminar by Dr. Sehun Chun

Writer Administrator Date Created 2023.04.17 Hits203

Dear all,
 
I am happy to inform you that the AMS Department will hold another seminar on April 24 (Mon). 
 
Dr. Sehun Chun will give a talk about The Geometry of Human Intelligence for AI.
 
Dr. Chun is an Associate Professor of the Dept of Applied Mathematics at Yonsei University. Before that, he was a Residential Researcher at African Institute for Mathematical Sciences. He earned his Ph.D. and MS in Applied Mathematics from Brown University, and his B.S. in Mechanical & Aerospace Engineering from Seoul National University. 
 
The event will be held as follows:
  • Date: Monday, April 24, 2023
  • Time: 6:30 PM - 7:30 PM KST
  • Venue: B105
  • Dinner will be provided! Please RSVP for the dinner through the QR code below.
   
     - Link: https://forms.gle/v3yjhShG7qvFUUZ89
AMS Seminar II.png

Please refer to the attached seminar poster for details and do not miss this great opportunity!
 
If you have any questions, please contact us via younju.baek@sunykorea.ac.kr.
 
AMS DEPARTMENT SEMINAR The Geometry of Human Intelligence for AI. Dr. Sehun Chun: (Current) Assistant Professor of Applied Mathematics, UIC, Yonsei University, Incheon. Residential Researcher, African Institute for Mathematical Sciences, Cape Town, South Africa. Research Associate, Imperial College London, London, UK. Research Assistant, Brown University, Providence, US. Ph.D. in Applied Mathematics, Brown University. M.S. in Applied Mathematics, Brown University & in Mathematics, Purdue University. BS in Mech. & Aero Engineering, Seoul National University. Research interest: Electrodynamics, Moving Frames, Curved surfaces, Electrophysiology, Cardiology, Neuroscience. RSVP Here!! QR(https://docs.google.com/forms/d/e/1FAIpQLSdYpqnFAnE-RsavsgytFblS7SgqwkT0EkL_LxBDPSg3qMp_Ag/formrestricted). [Seminar Information] Date: April 24(Mon), 2023. Time: 6:40-7:40PM in KST. Location: B105. Please RSVP for the Dinner!. Abstract: Recebt advabces in artificial intelligence (AI) have drawn unprecedented attention from every corner of our society. This presentation focuses on AI based on neural network algorithms. These algorithms derive from the study of a small region or function of the brain, particularly regarding vision. Their implications are almost limitless in the modern era but only a handful of applications survive, leaving other applications incomplete or inferior, Thus, we should pay attention to what is missing in AI algorithms compared to the real human brain before being overwhelmingly pessimistic about AI. Among the critical factors which will limit AI functionalities, we focus on the unique structure and distribution of neural fibers within a small volume of the secret behind superior date processing efficiency and the mysterious entanglement with our physical world. The study of the geometry of intelligence can shed light on a possible breakthrough with respect to the current critical flaws of AI, or at least help us better understand the boundaries of AI for constructive and safe applications. SUNY Korea. Stony Brook University

 

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