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Microwork
Microwork is a series of many small tasks which together comprise a large unified project, and it is completed by many people over the Internet. Microwork is considered the smallest unit of work in a virtual assembly line. It is most often used to describe tasks for which no efficient algorithm has been devised, and require human intelligence to complete reliably. The term was developed in 2008 by Leila Chirayath Janah of Samasource. Microtasking Microtasking is the process of splitting a large job into small tasks that can be distributed, over the Internet, to many people. This work is often believed to be Since the inception of microwork, many online services have been developed that specialize in different types of microtasking. Most of them rely on a large, voluntary workforce composed of Internet users from around the world. Typical tasks offered are repetitive but not so simple that they can be automated. Good candidates for microtasks have the following characteristics: * ...
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Samasource
Sama, formerly known as Samasource is a training-data company, focusing on annotating data for artificial intelligence algorithms. The company offers image, video and sensor data annotation and validation for machine learning algorithms in industries including automotive, navigation, augmented reality, virtual reality, biotechnology, agriculture, manufacturing, and e-commerce. Sama's mission is to expand opportunity for low-income individuals through the digital economy. One of the first organizations to engage in impact sourcing,Bornstein, David (November 3, 2011)Workers of the World Employed ''New York Times''. Retrieved 2013-04-04. Sama trains workers in basic computer skills and pays a local living wage for their labor.Gino, Francesca; Staats, Bradley R"The Microwork Solution" ''Harvard Business Review''. December 2012. Additionally, Sama provides health and wellness education, professional skills development, a scholarship program to assist with continuing education costs, ...
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Human-based Computation
Human-based computation (HBC), human-assisted computation, ubiquitous human computing or distributed thinking (by analogy to distributed computing) is a computer science technique in which a machine performs its function by outsourcing certain steps to humans, usually as microwork. This approach uses differences in abilities and alternative costs between humans and computer agents to achieve symbiotic human–computer interaction. For computationally difficult tasks such as image recognition, human-based computation plays a central role in training Deep Learning-based Artificial Intelligence systems. In this case, human-based computation has been referred to as human-aided artificial intelligence. In traditional computation, a human employs a computer to solve a problem; a human provides a formalized problem description and an algorithm to a computer, and receives a solution to interpret. Human-based computation frequently reverses the roles; the computer asks a person or a large ...
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Crowdsourcing
Crowdsourcing involves a large group of dispersed participants contributing or producing goods or services—including ideas, votes, micro-tasks, and finances—for payment or as volunteers. Contemporary crowdsourcing often involves digital platforms to attract and divide work between participants to achieve a cumulative result. Crowdsourcing is not limited to online activity, however, and there are various historical examples of crowdsourcing. The word crowdsourcing is a portmanteau of "crowd" and " outsourcing". In contrast to outsourcing, crowdsourcing usually involves less specific and more public groups of participants. Advantages of using crowdsourcing include lowered costs, improved speed, improved quality, increased flexibility, and/or increased scalability of the work, as well as promoting diversity. Crowdsourcing methods include competitions, virtual labor markets, open online collaboration and data donation. Some forms of crowdsourcing, such as in "idea competiti ...
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Leila Chirayath Janah
Leila Janah (October 9, 1982 – January 24, 2020) was an American businesswoman. She was the founder and CEO of Sama and LXMI. Sama's 11,000 employees have worked under contracts with companies including Microsoft, Google, Facebook, Walmart, Getty Images, Glassdoor and Vulcan Capital. Early life Janah was born on October 9, 1982 in Lewiston, New York, near Niagara Falls, and grew up in San Pedro, Los Angeles, California. She was the daughter of Indian immigrants, who came to the United States with nothing. Janah described her childhood as being difficult, often due to a lack of financial security. As a teenager, Janah worked many jobs, including babysitting and tutoring..She attended the California Academy of Mathematics and Science. She won a scholarship at 17 through American Field Services, and convinced them to let her spend it teaching in Ghana where she spent 6 months during her senior year of high school. In Ghana, Janah taught English to young students in the village ...
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Disaggregated Work
Disaggregated work is a work divided into its elemental activities, which can be reassembled using alternative solutions, for example by automating some of the activities and getting rid of or changing other activities. The concept can be applied on the scale of an individual, a department, a company, or an entire industry. During the industrial revolution, disaggregation often entailed replacing tradesmen such as blacksmiths, carpenters, and weavers with steam-powered machines manned by unskilled laborers. Modern-day disaggregated labor market is organized via crowdsourcing internet websites or mobile apps maintained by for-profit firms acting as labor market intermediaries, like Amazon Mechanical Turk that offers work in a piecemeal fashion, or freelance services like TaskRabbit or Fiverr that offer gig Gig or GIG may refer to: Arts and entertainment * ''Gig'' (Circle Jerks album) (1992) * ''Gig'' (Northern Pikes album) (1993) * ''The Gig'', a 1985 film written and directe ...
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Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a Heuristic (computer science), heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm ca ...
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Galaxy Zoo
Galaxy Zoo is a crowdsourced astronomy project which invites people to assist in the morphological classification of large numbers of galaxies. It is an example of citizen science as it enlists the help of members of the public to help in scientific research. There have been 15 versions as of July 2017. Galaxy Zoo is part of the Zooniverse, a group of citizen science projects. An outcome of the project is to better determine the different aspects of objects and to separate them into classifications. Origins A key factor leading to the creation of the project was the problem of what has been referred to as data deluge, where research produces vast sets of information to the extent that research teams are not able to analyse and process much of it. Kevin Schawinski, previously an astrophysicist at Oxford University and co-founder of Galaxy Zoo, described the problem that led to Galaxy Zoo's creation when he was set the task of classifying the morphology of more than 900,000 ...
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Galaxies
A galaxy is a system of stars, stellar remnants, interstellar gas, dust, dark matter, bound together by gravity. The word is derived from the Greek ' (), literally 'milky', a reference to the Milky Way galaxy that contains the Solar System. Galaxies, averaging an estimated 100 million stars, range in size from dwarfs with less than a hundred million stars, to the largest galaxies known – supergiants with one hundred trillion stars, each orbiting its galaxy's center of mass. Most of the mass in a typical galaxy is in the form of dark matter, with only a few percent of that mass visible in the form of stars and nebulae. Supermassive black holes are a common feature at the centres of galaxies. Galaxies are categorized according to their visual morphology as elliptical, spiral, or irregular. Many are thought to have supermassive black holes at their centers. The Milky Way's central black hole, known as Sagittarius A*, has a mass four million times greater than the Sun. As of ...
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CCTV
Closed-circuit television (CCTV), also known as video surveillance, is the use of video cameras to transmit a signal to a specific place, on a limited set of monitors. It differs from broadcast television in that the signal is not openly transmitted, though it may employ point-to-point (P2P), point-to-multipoint (P2MP), or mesh wired or wireless links. Even though almost all video cameras fit this definition, the term is most often applied to those used for surveillance in areas that require additional security or ongoing monitoring (Videotelephony is seldom called "CCTV"). Surveillance of the public using CCTV is common in many areas around the world. In recent years, the use of body worn video cameras has been introduced as a new form of surveillance, often used in law enforcement, with cameras located on a police officer's chest or head. Video surveillance has generated significant debate about balancing its use with individuals' right to privacy even when in public. ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Web Traffic
Web traffic is the data sent and received by visitors to a website. Since the mid-1990s, web traffic has been the largest portion of Internet traffic. Sites monitor the incoming and outgoing traffic to see which parts or pages of their site are popular and if there are any apparent trends, such as one specific page being viewed mostly by people in a particular country. There are many ways to monitor this traffic, and the gathered data is used to help structure sites, highlight security problems or indicate a potential lack of bandwidth. Not all web traffic is welcomed. Some companies offer advertising schemes that, in return for increased web traffic (visitors), pay for screen space on the site. Sites also often aim to increase their web traffic through inclusion on search engines and through search engine optimization. Analysis Web analytics is the measurement of the behavior of visitors to a website. In a commercial context, it especially refers to the measurement of which ...
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