[4eyes] FW: Register Now for September 21 Talk with Fei-Fei Li on Computer Vision

Thu Sep 7 18:31:54 PDT 2017

FYI

From: ACM Learning Center [mailto:learning at acm.org] 
Sent: Thursday, September 7, 2017 10:27 AM
To: Matthew A Turk
Subject: Register Now for September 21 Talk with Fei-Fei Li on Computer
Vision

ACM Learning Webinars
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September 7, 2017

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Register Now for September 21 Talk with Fei-Fei Li on Computer Vision

 to view image click on
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Register now
<https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b07x312d58x024
6055&>  for the next free ACM Learning Webinar, "ImageNet: Where Have We
Been? Where Are We Going?" presented on Thursday, September 21 at 1 pm ET by
Fei-Fei Li, Chief Scientist of AI/ML at Google Cloud, Director of Stanford
A.I. Lab, and was a panelist at ACM's 50 Years of the Turing Award
Celebration. Rosemary Paradis, Principal Research Engineer at Lockheed
Martin, Data Scientist at Leidos Health and Life Sciences, and SIGAI
Treasurer, will moderate the questions and answers session following the
talk. 

Leave your comments and questions for the Q&A with our speaker now and any
time before the live event on ACM's Discourse Page
<https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b07x312db2x024
6055&> . And check out the page after the webcast for more answers to your
questions from the speakers, extended discussion with your peers in the
computing community, as well as further resources on Artificial and Visual
Intelligence. 

(If you'd like to attend but can't make it to the virtual event, you still
need to register to receive a recording of the webinar when it becomes
available.)

Note: You can stream this and all ACM Learning Webinars on your mobile
device, including smartphones and tablets.

It took nature and evolution more than 500 million years to develop a
powerful visual system in humans. The journey for AI and computer vision is
about half of a century. In this talk, Dr. Li will briefly discuss the key
ideas and the cutting edge advances in the quest for visual intelligences in
computers, focusing on work done to develop ImageNet over the years.

Duration: 60 minutes (including audience Q&A) 

Presenter:
Fei-Fei Li, Chief Scientist of AI/ML at Google Cloud; Associate Professor at
Stanford, Director of Stanford A.I. Lab 
Fei-Fei Li is currently on sabbatical as the Chief Scientist of AI/ML at
Google Cloud. She is an Associate Professor in the Computer Science
Department at Stanford, and the Director of the Stanford Artificial
Intelligence Lab. Her main research areas are in machine learning, deep
learning, computer vision, and cognitive and computational neuroscience. She
has published more than 150 scientific articles in top-tier journals and
conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV,
NIPS, ECCV, IJCV, IEEE-PAMI, etc. Li obtained her B.A. degree in physics
from Princeton with High Honors, and her Ph.D. degree in electrical
engineering from the California Institute of Technology (Caltech). She
joined Stanford in 2009 as an assistant professor, and was promoted to
associate professor with tenure in 2012. 

Prior to that, she was on faculty at Princeton University and University of
Illinois Urbana-Champaign. Li is the inventor of ImageNet and the ImageNet
Challenge, a critical large-scale dataset and benchmarking effort that has
contributed to the latest developments in deep learning and AI. In addition
to her technical contributions, she is a leading voice for advocating
diversity in STEM and AI. She is co-founder of Stanford's renowned SAILORS
outreach program for high school girls and the national non-profit AI4ALL.
For her work in AI, Li was a speaker at the TED2015 main conference, a
recipient of the IAPR 2016 J.K. Aggarwal Prize, the 2016 nVidia Pioneer in
AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award,
2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft
Research New Faculty Fellowship and a number of Google Research awards. Work
from her lab has been featured in a variety of popular press magazines and
newspapers including New York Times, Wall Street Journal, Fortune, Science,
Wired Magazine, MIT Technology Review, Financial Times, and more. She was
selected as one of the "Great Immigrants: The Pride of America" in 2016 by
the Carnegie Foundation. 

Moderator:
Rosemary Paradis, Principal Research Engineer at Lockheed Martin and Data
Scientist at Leidos Health and Life Sciences; SIGAI Treasurer 
Rosemary Paradis is a Principal Research Engineer for Lockheed Martin and
Data Scientist at Leidos Health and Life Sciences out of Gaithersburg, MD.
Her current work as a data scientist for Big Data analytics includes
building models in computational linguistics and natural language
processing, machine learning, and artificial intelligence. She has an M.S.
in Computer Science from Union College, and a Ph.D. in Computational
Intelligence from Binghamton University. Paradis has a number of patents and
publications in the area of recognition algorithms, artificial intelligence,
and machine learning. Previous work at Lockheed Martin included the design
and development of machine learning algorithms and managing the Core
Recognition and Identification technology development for the USPS, the
Royal Mail, and the Sweden Post Office. Paradis has held positions at
General Electric, IBM, and also was a professor at Hartwick College, Ithaca
College and Rochester Institute of Technology. She is currently the
Secretary/Treasurer for the ACM Special Interest Group on Artificial
Intelligence (SIGAI).

Visit
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