nimble robotics feifei li sebastian thrunheatertechcrunch

#Nimble robotics feifei li sebastian thrunheatertechcrunch full#

Google told employees who protested the company's work on Project Maven that their role was 'specifically scoped to be for non-offensive purposes.' In June 2018, Google told employees it would not seek renewal of the contract. In September 2017, Google secured a contract from the Department of Defense called Project Maven, which aimed to use AI techniques to interpret images captured by drone cameras. At Google, her team focused on democratizing AI technology and lowering the barrier for entrance to businesses and developers, including the developments of products like AutoML. On her sabbatical from Stanford University from January 2017 to fall of 2018, Li joined Google Cloud as its Chief Scientist of AI/ML and Vice President. John Etchemendy, former provost of Stanford University. She became the founding co-director of Stanford's University-level initiative - the Human-Centered AI Institute, along with co-director Dr. At Stanford, Li served as the director of Stanford Artificial Intelligence Lab (SAIL) from 2013 to 2018.

#Nimble robotics feifei li sebastian thrunheatertechcrunch full#

She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012, and then full professor in 2017. Career įrom 2005 to August 2009, Li was an assistant professor in the Electrical and Computer Engineering Department at University of Illinois Urbana-Champaign and Computer Science Department at Princeton University, respectively. Her graduate studies were supported by the National Science Foundation Graduate Research Fellowship and The Paul & Daisy Soros Fellowships for New Americans. Li completed her dissertation, titled 'Visual Recognition: Computational Models and Human Psychophysics', under the primary supervision of Pietro Perona and secondary supervision of Christof Koch. Li then pursued graduate studies at the California Institute of Technology, where she received a Ph.D. During her years at Princeton, she returned home most weekends so that she could work in her parents' dry-cleaning store.

Li completed her senior thesis, titled 'Auditory Binaural Correlogram Difference: A New Computational Model for Huggins Dichotic Pitch', under the supervision of Professor of Electrical Engineering Bradley Dickinson. in physics and certificates in applied and computational mathematics and engineering physics in 1999. Li majored in physics but also studied computer science and engineering as an undergraduate student at Princeton University, from where she graduated with high honors with an A.B. She graduated from Parsippany High School in 1995, where she was inducted to the Hall of Fame of Parsippany High School in 2017. When she was 12, her father moved to the US when she was 15, she and her mother joined him in Parsippany-Troy Hills, New Jersey. Li was born in Beijing, China in 1976 and grew up in Chengdu. She is also a member of the National Academy of Medicine (NAM), and American Academy of Arts and Sciences (AAAS). Li was elected a member of the National Academy of Engineering (NAE) in 2020 for contributions in building large knowledge bases for machine learning and visual understanding. Her research expertise includes artificial intelligence (AI), machine learning, deep learning, computer vision and cognitive neuroscience. In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence. She served as the director of the Stanford Artificial Intelligence Laboratory (SAIL) from 2013 to 2018.

Li is a Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence, and a Co-Director of the Stanford Vision and Learning Lab. She is the Sequoia Capital Professor of Computer Science at Stanford University and former board director at Twitter.

Fei-Fei Li ( simplified Chinese: 李飞飞 traditional Chinese: 李飛飛 born 1976) is an American computer scientist who was born in China and is known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.