[Quantum-ms] [EE Seminar] Pursuing the Nature of Intelligence, 5/1 Thursday

[Columbia EE Events]

*Date: *Thursday, May. 1
*Time: *10:00am - 11:00am
*Location: *NWC 14th FLR conference room
*Seminar: *Pursuing the Nature of Intelligence
*Speaker: *Yi Ma, School of CDS, Hong Kong University; EECS Department, UC
Berkeley
*Host: *John Wright

*Abstract:*

In this talk, we will try to clarify different levels and mechanisms of
intelligence from historical, scientific, mathematical,and computational
perspective. From the evolution of intelligence in nature,from
phylogenetic, to ontogenetic, to societal, and to artificial
intelligence,we will try to shed light on how to understand the true nature
of the seemingly dramatic advancements in the technologies of machine
intelligence in the past decade. We achieve this goal by developing a
principled mathematical framework to explain the practice of deep learning
from the perspective of compressive data encoding and decoding. This
framework not only reveals true nature hence limitations of the current
practice and but also provides principled guidelines to develop more
complete and more efficient learning architectures and systems. Eventually,
we will clarify the difference and relationship between Knowledge and
Intelligence,which may guide us to pursue the goal of developing systems
with true intelligence.

*Bio of the Speaker:*

Yi Ma is a Chair Professor inArtificial Intelligence, the inaugural
director of the School of Computing andData Science and the Institute of
Data Science of the University of Hong Kong since2023. His research
interests include computer vision, high-dimensional data analysis, and
integrated intelligent systems. Yi received his two bachelor's degrees in
Automation and Applied Mathematics from Tsinghua University in 1995,two
master’s degrees in EECS and Mathematics in 1997, and a PhD degree in
EECSfrom UC Berkeley in 2000.  He served on the faculty of UIUC ECE from
2000to 2011, the principal researcher and manager of the Visual Computing
group ofMicrosoft Research Asia from 2009 to 2014, and the Executive Dean
of the School Of Information Science and Technology of ShanghaiTech
University from 2014 to2017. He was on the faculty of UC Berkeley EECS
Department from 2018-2023,where he continues to be a visiting professor. He
has published over 65 journal papers, 150 conference papers, and three
textbooks on 3D vision, generalized PCA,and high-dimensional data analysis.
He received the NSF Career award in 2004and the ONR Young Investigator
award in 2005. He also received the David Marr Prize in computer vision
from ICCV 1999 and best paper awards from ECCV 2004 and ACCV 2009. He has
served as the Program Chair for ICCV 2013 and the GeneralChair for ICCV
2015. He is a Fellow of IEEE, ACM, and SIAM.

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