A Quest for Visual Intelligence in Computers: Google’s Fei-Fei Li

A Quest for Visual Intelligence in Computers: Google's Fei-Fei Li

Google’s Fei-Fei Li said that “Artificial Intelligence (AI) can understand a photo and write description” at Women in Data Science (WiDS) Conference 2017.

It takes nature and evolution more than five hundred million years to develop a powerful visual system in humans. The journey for AI and computer vision is about fifty years. In this talk, Dr. Fei-Fei Li is briefly discussing the key ideas and the cutting edge advances in the quest for visual intelligences in computers. She is particularly focusing on the latest work developed in her lab for both image and video understanding, powered by big data and the deep learning (a.k.a. neural network) architecture.

Women in Data Science (WiDS) Conference 

The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual conference is held at Stanford University and 75+ locations worldwide via livestream or delayed broadcast, hosted by WiDS Ambassadors.

This one-day technical conference provides an opportunity to hear about the latest data science related research in a number of domains, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field. All genders are invited to participate in the conference, which features exclusively female speakers.

​WiDS is spearheaded by Stanford University’s Institute for Computational and Mathematical Engineering (ICME) with broad support from across Stanford and from corporate sponsors.
http://www.widsconference.org

Who is Dr. Fei-Fei Li?

Dr. Fei-Fei Li is currently Chief Scientist of AI/ML at Google Cloud, also an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. She was the Founding Director of the recently established Stanford Toyota Center for Human-Centric AI Research in 2015-2016.

Dr. Fei-Fei Li’s 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. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. 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 (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).

Dr. 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 national leading voice for advocating diversity in STEM and AI.

She is co-founder of Stanford’s renowned SAILORS outreach program for high school girls. For her work in AI, Dr. Li is a speaker at the TED2015 main conference, a recipient of the IAPR 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 Dr. Li’s lab have been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, 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, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al.

2017 WiDS Conference Speakers:

Sinead Kaiya, COO of Products & Innovation at SAP, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Yael Garten, Director of Data Science at LinkedIn, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Janet George, Chief Data Scientist at Western Digital, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Julie Yoo, CSO & Co-Founder of Pymetrics, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Stephanie Gottlib, President of Agyleo Sport, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Megan Price, Executive Director of the Human Rights Data Analysis Group, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Miriah Meyer, Assistant Professor of Computer Science at University of Utah, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Finale Doshi-Velez, Assistant Professor of Computer Science at Harvard University, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

Ann Rosenberg, VP & Head of Global SAP University Alliances & SAP Next-Gen Labs at SAP, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.

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