Civil Rights
Movements, leaders, victories and the continuing fight for equality.
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Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
In August 1908, a white mob attacked Springfield, Illinois’s Black community, destroying homes and businesses and lynching two Black men. National outrage over the violence helped spur the movement that created the NAACP the following year.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
| Nickname | SISL |
|---|---|
| Established | January 2014 |
Field of research | Decision making under uncertainty, Artificial intelligence |
| Director | Mykel J. Kochenderfer |
| Location | 496 Lomita Mall Durand Building, Room 255 Stanford, CA 94305 USA, Stanford, CA, USA |
Operating agency | Stanford University Aeronautics & Astronautics |
| Website | sisl |
Stanford Intelligent Systems Laboratory (SISL) is a laboratory researching advanced algorithms and analytical methods for the design of robust decision making systems [1] at Stanford University. It operates within the Stanford Department of Aeronautics & Astronautics.
SISL has conducted research in autonomous anti-collision technologies for drones. These efforts include developing software to increase drone reaction times when flying in crowded spaces, such as urban areas.[2] Research was done in accordance with NASA's UAS Traffic Management (UTM) project.[3]
SISL is supported by numerous external sponsors, including the Federal Aviation Administration (FAA), MIT Lincoln Laboratory, National Aeronautics and Space Administration (NASA), National Science Foundation, Bosch, and SAP.[citation needed]
 | This article on a California institution of higher education is a stub. You can help Wikipedia by adding missing information. |
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Stanford Intelligent Systems Laboratory (SISL) is a laboratory researching advanced algorithms and analytical methods for the design of robust decision making systems at Stanford University. It operates within the Stanford Department of Aeronautics & Astronautics.
Knowledge Systems Laboratory (KSL) was an artificial intelligence research laboratory within the Department of Computer Science at Stanford University until 2007, located in the Gates Computer Science Building, Stanford. Work focused on knowledge representation for shareable engineering knowledge bases and systems, computational environments for modelling physical devices, architectures for adaptive intelligent systems, and expert systems for science and engineering. KSL had projects with Stanford Medical Informatics (SMI), the Stanford Artificial Intelligence Lab (SAIL), the Stanford Formal Reasoning Group (SFRG), the Stanford Logic Group, and the Stanford Center for Design Research (CDR).
Thomas Oriel Binford has been a researcher in image analysis and computer vision since 1967. He developed a model-based approach to computer vision in which complex objects are represented as collections of generalized cylinders. His results are reflected in work in other areas of research, including the interpretation of complex scenes using invariants and quasi-invariants, inference rules and evidential reasoning in extended Bayes networks of symbolic geometric constraints, the SUCCESSOR system, a portable, intelligent vision system, stereo and visual robot navigation, segmentation and feature estimation in complex images, color image analysis, surface material analysis, and image compression. He has led the development of numerous computer vision systems, including systems successfully employed in brain surgery on humans, high-precision automated machining, and helicopter navigation. Binford received a Ph.D. in particle physics in 1965 from the University of Wisconsin–Madison, under the supervision of Myron L. Good; his thesis was entitled "Angular Distribution and Polarization of Neutral Hyperons Produced in Association with Neutral Kaons". He was a Fulbright Scholar at the Tata Institute of Fundamental Research in Mumbai, India from 1965 to 1966, and a research scientist at the MIT Artificial Intelligence Laboratory from 1966 to 1970. From 1970 to 2000 he was a professor of computer science at Stanford University; in 2000 he retired to become an emeritus professor. While at Stanford, Professor Binford supervised more than 40 PhD theses while leading research in computer vision, artificial intelligence, medical image processing, radar image understanding, robotics, industrial inspection, and manufacturing; notable students of Binford's include Rodney Brooks and Jitendra Malik. Since retiring from active research at Stanford, Binford has founded and is chairman and chief technology officer of Read-Ink Technologies Pvt. Ltd., a company in Bangalore, India specializing in online handwriting recognition software. In 1994 Thomas Binford was elected a Fellow of the Association for the Advancement of Artificial Intelligence "for his role as a founding father in the field of computer vision and model-based perception in robotics; and for his many contributions to the fields".
Derek H. Sleeman is emeritus professor of computing science at the University of Aberdeen, Scotland (since 2008), and visiting professor, in the School of Medicine and the University of Glasgow (since 2009). He is a Fellow of the Royal Society of Edinburgh (1992), the British Computer Society (1995), and the European AI Society (2004). Sleeman began his career as a lecturer in computing at the University of Leeds and co-founded the Computer-Based Learning Unit there in 1969. This led to his interest in intelligent tutoring systems and an edited volume on that subject with John Seely Brown. He moved to Stanford University in 1982, where he was an associate professor of AI & education, and senior research associate in the Knowledge Systems Laboratory of the Stanford Computer Science Department. Sleeman returned to Aberdeen in 1986, where he was appointed the university’s first professor of computing science. Sleeman's research activities have remained at the intersection of AI and cognitive science, but his focus has moved from intelligent tutoring systems to co-operative knowledge acquisition and knowledge refinement systems, reuse and transformation of knowledge sources, and ontology management systems. Sleeman has been a program committee member for the International European National Conferences in Machine Learning & Knowledge Acquisition, and involved in all the KCAP series of meetings; and was the conference chair for the 2007 meeting held in Whistler, British Columbia. Further, with Mark Musen, Sleeman organized one of the 2008 AAAI Stanford Spring Symposia entitled: Symbiotic relationship between the Semantic Web & Knowledge Engineering. He has also served on various editorial boards, including the Machine Learning Journal and the International Journal of Human-Computer Studies. He was one of the principal investigators of the EPSRC-sponsored IRC in Advanced Knowledge Technologies (2000–2007), and PI of the DTI/Rolls-Royce sponsored IPAS project (2005–2008). Sleeman has a track record of interdisciplinary research work with education, engineering, science and medicine. As well as developing some early medical CAI programs whilst in Leeds, he also developed a Bayesian system (with Tim de Dombal) to diagnose abdominal pain. At Stanford he collaborated with Edward Shortliffe and Bill Clancey (developers respectively of the MYCIN & neo-MYCIN systems). Since returning to Scotland he has collaborated in Aberdeen with Anesthetics, ICU, General Practice, Oncology, & Respiratory Medicine Departments, and in Edinburgh (Neuro ICU, Western General Hospital). Currently the focus of his work is with the Dialysis Unit at Aberdeen/Elgin Hospitals, and with the ICU at Glasgow Royal Infirmary. In both these activities Sleeman's team is analysing patient datasets produced and have developed an infrastructure which supports the analyst/clinician in preparing datasets to investigate various clinically led hypotheses.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Shirley Chisholm, elected in 1968.
