Trevor Darrell | |
---|---|
Nationality | American |
Alma mater | MIT |
Scientific career | |
Fields | Computer Science |
Institutions | University of California, Berkeley |
Doctoral advisor | Alex Pentland |
Website | https://people.eecs.berkeley.edu/~trevor/ |
Trevor Jackson Darrell is an American computer scientist and professor at the University of California, Berkeley. [1] [2] He is known for his research on computer vision and machine learning [3] [4] and is one of the leading experts on topics such as deep learning [5] and explainable AI. [6]
Darrell's group at UC Berkeley developed the Caffe deep-learning library. [7]
![]() | This section's factual accuracy is disputed .(August 2022) |
When Darrell finished his PhD, he joined the Interval Research Corporation. In 1999, he left the corporation for the MIT EECS department. In 2008, he left MIT for the University of California, Berkeley, [11] where he is now a Professor in Residence. [12]
His former students include Kristen Grauman, Louis-Philippe Morency, and Raquel Urtasun (postdoc). [13] [14]
Darrell is a grandson of American attorney Norris Darrell. [15] [16] : 107–108
Stuart Jonathan Russell is a British computer scientist known for his contributions to artificial intelligence (AI). He is a professor of computer science at the University of California, Berkeley and was from 2008 to 2011 an adjunct professor of neurological surgery at the University of California, San Francisco. He holds the Smith-Zadeh Chair in Engineering at University of California, Berkeley. He founded and leads the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley. Russell is the co-author with Peter Norvig of the authoritative textbook of the field of AI: Artificial Intelligence: A Modern Approach used in more than 1,500 universities in 135 countries.
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Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence.
Kenneth Yigael Goldberg is an American artist, writer, inventor, and researcher in the field of robotics and automation. He is professor and chair of the industrial engineering and operations research department at the University of California, Berkeley, and holds the William S. Floyd Jr. Distinguished Chair in Engineering at Berkeley, with joint appointments in Electrical Engineering and Computer Sciences (EECS), Art Practice, and the School of Information. Goldberg also holds an appointment in the Department of Radiation Oncology at the University of California, San Francisco.
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David Ethan Culler is a computer scientist and former chair of the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a principal investigator in the Software Defined Buildings (SDB) project at the EECS Department at Berkeley and the faculty director of the i4Energy Center. His research addresses networks of small, embedded wireless devices, planetary-scale internet services, parallel computer architecture, parallel programming languages, and high performance communication. This includes TinyOS, Berkeley Motes, PlanetLab, Networks of Workstations (NOW), Internet services, Active Message, Split-C, and the Threaded Abstract Machine (TAM).
John F. Canny is an Australian computer scientist, and Paul E Jacobs and Stacy Jacobs Distinguished Professor of Engineering in the Computer Science Department of the University of California, Berkeley. He has made significant contributions in various areas of computer science and mathematics, including artificial intelligence, robotics, computer graphics, human-computer interaction, computer security, computational algebra, and computational geometry.
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Gerald Friedland is an adjunct professor at the Electrical Engineering and Computer Science Department of the University of California, Berkeley. He also maintains an affiliation with the International Computer Science Institute.
Caffe is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface.
Raquel Urtasun is a professor at the University of Toronto. Urtasun uses artificial intelligence, particularly deep learning, to make vehicles and other machines perceive the world more accurately and efficiently.
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