Aude Oliva
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Aude Oliva
Aude Oliva is a French professor of computer vision, neuroscience, and human-computer interaction at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Education Oliva has a dual French baccalaureate in mathematics and physics. She then earned a Masters of Science in experimental psychology and cognitive neuroscience from the Institut National Polytechnique in Grenoble and then a doctorate from the same university in 1995. She joined the MIT faculty in 2004 and CSAIL in 2012. Research Oliva's group investigates how psychological perception of an image can change based on memorability, content, and limitations of human visual systems. Her most recognizable work is the hybrid image, the classic example of which combines the high-frequency outline and detail of Albert Einstein's face with a blurry, low-frequency image of Marilyn Monroe; the latter becomes focused only when viewed from long distances. Such images have found use in information privacy, time- ...
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MIT Computer Science And Artificial Intelligence Laboratory
Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory (AI Lab). Housed within the Ray and Maria Stata Center, CSAIL is the largest on-campus laboratory as measured by research scope and membership. It is part of the Schwarzman College of Computing but is also overseen by the MIT Vice President of Research. Research activities CSAIL's research activities are organized around a number of semi-autonomous research groups, each of which is headed by one or more professors or research scientists. These groups are divided up into seven general areas of research: * Artificial intelligence * Computational biology * Graphics and vision * Language and learning * Theory of computation * Robotics * Systems (includes computer architecture, databases, distributed systems, networks and networked sy ...
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Baccalauréat
The ''baccalauréat'' (; ), often known in France colloquially as the ''bac'', is a French national academic qualification that students can obtain at the completion of their secondary education (at the end of the ''lycée'') by meeting certain requirements. Though it has only existed in its present form as a school-leaving examination since Napoleon Bonaparte's implementation on March 17, 1808, its origins date back to the first medieval French universities. According to French law, the baccalaureate is the first academic degree, though it grants the completion of secondary education. Historically, the baccalaureate is administratively supervised by full professors at universities. Similar academic qualifications exist elsewhere in Europe, variously known as ''Abitur'' in Germany, ''maturità'' in Italy, ''bachillerato'' in Spain. There is also the European Baccalaureate, which students take at the end of the European School education. In France, there are three main types of ...
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Grenoble Institute Of Technology
The Grenoble Institute of Technology (Grenoble INP) (''Institut polytechnique de Grenoble'', ''Groupe Grenoble INP'' and before INPG) is a French technological university system consisting of eight engineering and management schools. Grenoble INP also has a two-year preparatory class programme, an adult education department, as well as 21 laboratories and a graduate school in Engineering Sciences. More than 1,100 engineers graduate every year from Grenoble INP, making it France's biggest ''grande école''. Most of Grenoble INP is located in Grenoble, except for the ESISAR which is located in Valence, Drôme, Valence. History Grenoble INP was born in the Alpine environment. It was officially founded in 1900 with the creation of the Electrical Engineering Institute. Industrial pioneers of a century ago found that after mastering hydraulic power and creating the initial industrial applications, they had also created a need for well-trained engineers. The first of its type in France ...
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Hybrid Image
A hybrid image is an image that is visual perception, perceived in one of two different ways, depending on viewing distance, based on the way humans process visual input. A technique for creating hybrid images exhibiting this optical illusion was developed by Aude Oliva of Massachusetts Institute of Technology, MIT and Philippe G. Schyns of University of Glasgow, a method they originally proposed in 1994. Hybrid images combine the low spatial frequencies of one picture with the high spatial frequencies of another picture, producing an image with an interpretation that changes with viewing distance. Perhaps the most familiar example is one featuring Albert Einstein and Marilyn Monroe. Looking at the picture from a short distance, one can see a sharp image of Einstein, with only a hint of blurry distortion hinting at the presence of an overlaid image. Viewed from a distance in which the fine detail blurs, the unmistakable face of Monroe emerges. See also *Optical illusions Re ...
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Albert Einstein
Albert Einstein ( ; ; 14 March 1879 – 18 April 1955) was a German-born theoretical physicist, widely acknowledged to be one of the greatest and most influential physicists of all time. Einstein is best known for developing the theory of relativity, but he also made important contributions to the development of the theory of quantum mechanics. Relativity and quantum mechanics are the two pillars of modern physics. His mass–energy equivalence formula , which arises from relativity theory, has been dubbed "the world's most famous equation". His work is also known for its influence on the philosophy of science. He received the 1921 Nobel Prize in Physics "for his services to theoretical physics, and especially for his discovery of the law of the photoelectric effect", a pivotal step in the development of quantum theory. His intellectual achievements and originality resulted in "Einstein" becoming synonymous with "genius". In 1905, a year sometimes described as his ' ...
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Marilyn Monroe
Marilyn Monroe (; born Norma Jeane Mortenson; 1 June 1926 4 August 1962) was an American actress. Famous for playing comedic " blonde bombshell" characters, she became one of the most popular sex symbols of the 1950s and early 1960s, as well as an emblem of the era's sexual revolution. She was a top-billed actress for a decade, and her films grossed $200 million (equivalent to $ billion in ) by the time of her death in 1962. Long after her death, Monroe remains a major icon of pop culture. In 1999, the American Film Institute ranked her sixth on their list of the greatest female screen legends from the Golden Age of Hollywood. Multiple film critics and media outlets have cited Monroe as one of the best actors never to have received an Academy Award nomination. Born and raised in Los Angeles, Monroe spent most of her childhood in a total of 12 foster homes and an orphanage; she married at age sixteen. She was working in a factory during World War II when she met a ...
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Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ...
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Artificial Imagination
Artificial imagination, also called synthetic imagination or machine imagination, is defined as the artificial simulation of human imagination by general or special purpose computers or artificial neural networks. The applied form of it is known as media synthesis or synthetic media. The term artificial imagination is also used to describe a property of machines or programs. Some of the traits that researchers hope to simulate include creativity, vision, digital art, humor, and satire. Artificial imagination research uses tools and insights from many fields, including computer science, rhetoric, psychology, creative arts, philosophy, neuroscience, affective computing, Artificial Intelligence, cognitive science, linguistics, operations research, creative writing, probability and logic. Practitioners in the field are researching various aspects of Artificial imagination, such as Artificial (visual) imagination, Artificial (aural) Imagination, modeling/filtering content based on hum ...
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Vannevar Bush
Vannevar Bush ( ; March 11, 1890 – June 28, 1974) was an American engineer, inventor and science administrator, who during World War II headed the U.S. Office of Scientific Research and Development (OSRD), through which almost all wartime military R&D was carried out, including important developments in radar and the initiation and early administration of the Manhattan Project. He emphasized the importance of scientific research to national security and economic well-being, and was chiefly responsible for the movement that led to the creation of the National Science Foundation. Bush joined the Department of Electrical Engineering at Massachusetts Institute of Technology (MIT) in 1919, and founded the company that became the Raytheon Company in 1922. Bush became vice president of MIT and dean of the MIT School of Engineering in 1932, and president of the Carnegie Institution of Washington in 1938. During his career, Bush patented a string of his own inventions. He is known ...
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Guggenheim Fellowship
Guggenheim Fellowships are grants that have been awarded annually since by the John Simon Guggenheim Memorial Foundation to those "who have demonstrated exceptional capacity for productive scholarship or exceptional creative ability in the arts." Each year, the foundation issues awards in each of two separate competitions: * One open to citizens and permanent residents of the United States and Canada. * The other to citizens and permanent residents of Latin America and the Caribbean. The Latin America and Caribbean competition is currently suspended "while we examine the workings and efficacy of the program. The U.S. and Canadian competition is unaffected by this suspension." The performing arts are excluded, although composers, film directors, and choreographers are eligible. The fellowships are not open to students, only to "advanced professionals in mid-career" such as published authors. The fellows may spend the money as they see fit, as the purpose is to give fellows "b ...
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Association For Psychological Science
The Association for Psychological Science (APS), previously the American Psychological Society, is an international non-profit organization whose mission is to promote, protect, and advance the interests of scientifically oriented psychology in research, application, teaching, and the improvement of human welfare. APS publishes several journals, holds an annual meeting, disseminates psychological science research findings to the general public, and works with policymakers to strengthen support for scientific psychology. History APS was founded in 1988 by a group of researchers and scientifically-oriented practitioners who were interested in advancing scientific psychology and its representation at the national and international level. This group felt that the American Psychological Association (APA) was not adequately supporting scientific research because it focused on the practitioner/clinician side of psychology, and had effectively "become a guild". Tensions between the scien ...
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Year Of Birth Missing (living People)
A year or annus is the orbital period of a planetary body, for example, the Earth, moving in its orbit around the Sun. Due to the Earth's axial tilt, the course of a year sees the passing of the seasons, marked by change in weather, the hours of daylight, and, consequently, vegetation and soil fertility. In temperate and subpolar regions around the planet, four seasons are generally recognized: spring, summer, autumn and winter. In tropical and subtropical regions, several geographical sectors do not present defined seasons; but in the seasonal tropics, the annual wet and dry seasons are recognized and tracked. A calendar year is an approximation of the number of days of the Earth's orbital period, as counted in a given calendar. The Gregorian calendar, or modern calendar, presents its calendar year to be either a common year of 365 days or a leap year of 366 days, as do the Julian calendars. For the Gregorian calendar, the average length of the calendar year (the ...
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