Title: ImageNet: Where Have We Been? Where Are We Going? Speaker: Fei-Fei Li Date: 9/21/2017 Abstract 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. Speaker Bio 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 [More]