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Embedded Intelligence
Embedded intelligence is characterized as the ability of a product, process, or service to reflect on its own operational performance, usage load, or environment. The motivation for this may be to enhance the performance, lifetime, or quality of the product. This self-reflection might be facilitated by information collected via embedded sensors, and processed locally or communicated remotely for processing. Embedded intelligence depends on a multidisciplinary approach for successful implementation. Delivering smarter products, systems, or services to industry Embedded intelligence aims to deliver smarter products, systems, or services to industry through their integration and purposeful use for a given application. This integration can be realized by: * CONSTRUCTION whereby integrated assemblies show a fusion of technologies, for example in semiconductor integrated circuits and “More than Moore” systems that build directly upon semiconductor devices. * COMBINATION of functio ...
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Moore's Law
Moore's law is the observation that the number of transistors in a dense integrated circuit (IC) doubles about every two years. Moore's law is an observation and projection of a historical trend. Rather than a law of physics, it is an empirical relationship linked to gains from experience in production. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and Intel (and former CEO of the latter), who in 1965 posited a doubling every year in the number of components per integrated circuit, and projected this rate of growth would continue for at least another decade. In 1975, looking forward to the next decade, he revised the forecast to doubling every two years, a compound annual growth rate (CAGR) of 41%. While Moore did not use empirical evidence in forecasting that the historical trend would continue, his prediction held since 1975 and has since become known as a "law". Moore's prediction has been used in the semiconductor industry to g ...
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Bayesian Network
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables (''e.g.'' speech signals or protein sequences) are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Graphical mode ...
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Internet Of Things
The Internet of things (IoT) describes physical objects (or groups of such objects) with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network and be individually addressable. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, as well as machine learning.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring Aerospace Science and Technology, 2022. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including Home automation, home and building automation), indepen ...
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International Data Corporation
International Data Group (IDG, Inc.) is a market intelligence and demand generation company focused on the technology industry. IDG, Inc.’s mission is centered around supporting the technology industry through research, data, marketing technology, and insights that help create and sustain relationships between businesses. IDG, Inc. is wholly owned by Blackstone and is led by Mohamad Ali, who was appointed CEO of the company in 2019. Ali serves on IDG, Inc.’s leadership team along with IDC President Crawford Del Prete, IDG, Inc.’s Chief Financial Officer Donna Marr, and Foundry President Kumaran Ramanathan. IDG, Inc. is headquartered in Needham, MA and is parent company to both International Data Corporation (IDC) and Foundry (formerly IDG Communications). History International Data Group was initially founded as International Data Corporate (IDC) in 1964 by Patrick Joseph McGovern, shortly after he had graduated from the Massachusetts Institute of Technology (MIT). Bas ...
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Embedded Software
Embedded software is computer software, written to control machines or devices that are not typically thought of as computers, commonly known as embedded systems. It is typically specialized for the particular hardware that it runs on and has time and memory constraints. This term is sometimes used interchangeably with firmware. A precise and stable characteristic feature is that no or not all functions of embedded software are initiated/controlled via a human interface, but through machine-interfaces instead. Manufacturers build embedded software into the electronics of cars, telephones, modems, robots, appliances, toys, security systems, pacemakers, televisions and set-top boxes, and digital watches, for example. This software can be very simple, such as lighting controls running on an 8-bit microcontroller with a few kilobytes of memory with the suitable level of processing complexity determined with a Probably Approximately Correct Computation framework (a methodology ba ...
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