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School Of Computer Science And Electronic Engineering (Essex University)
The School of Computer Science and Electronic Engineering at the University of Essex is an academic department that focuses on educating and researching into Computer Science and Electronic Engineering specific matters. It was formed by the merger of two departments, notable for being amongst the first in England in their fields, the Department of Electronic Systems Engineering(1966) and the Department of Computer Science (1966). Achievements The School/Department is notable for the following achievements: *The Department's MSc Masters course in Telecommunications was the first one in the world to cover the complete telecommunication system, including both switching and transmission. * The world's first telephone based system for deaf people to communicate with each other was invented and developed in the department by Don Pearson in 1981. The system was based on sign language - cameras and display devices were able to work within the limited telephone bandwidth to enable sign ...
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Colchester
Colchester ( ) is a city in Essex, in the East of England. It had a population of 122,000 in 2011. The demonym is Colcestrian. Colchester occupies the site of Camulodunum, the first major city in Roman Britain and its first capital. Colchester therefore claims to be Britain's first city. It has been an important military base since the Roman era, with Colchester Garrison currently housing the 16th Air Assault Brigade. Situated on the River Colne, Colchester is northeast of London. The city is connected to London by the A12 road and the Great Eastern Main Line railway. Colchester is less than from London Stansted Airport and from the port of Harwich. Attractions in and around the city include Colchester United Football Club, Colchester Zoo, and several art galleries. Colchester Castle was constructed in the eleventh century on earlier Roman foundations; it now contains a museum. The main campus of the University of Essex is located just outside the city. Local governme ...
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Genetic Programming
In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs. The operations are: selection of the fittest programs for reproduction (crossover) and mutation according to a predefined fitness measure, usually proficiency at the desired task. The crossover operation involves swapping random parts of selected pairs (parents) to produce new and different offspring that become part of the new generation of programs. Mutation involves substitution of some random part of a program with some other random part of a program. Some programs not selected for reproduction are copied from the current generation to the new generation. Then the selection and other operations are recursively applied to the new generation of programs. Typically, members of each new generation are on avera ...
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Computer Science Departments In The United Kingdom
A computer is a machine that can be programmed to carry out sequences of arithmetic or logical operations (computation) automatically. Modern digital electronic computers can perform generic sets of operations known as programs. These programs enable computers to perform a wide range of tasks. A computer system is a nominally complete computer that includes the hardware, operating system (main software), and peripheral equipment needed and used for full operation. This term may also refer to a group of computers that are linked and function together, such as a computer network or computer cluster. A broad range of industrial and consumer products use computers as control systems. Simple special-purpose devices like microwave ovens and remote controls are included, as are factory devices like industrial robots and computer-aided design, as well as general-purpose devices like personal computers and mobile devices like smartphones. Computers power the Internet, which links bil ...
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Cognitive Neuroscience
Cognitive neuroscience is the scientific field that is concerned with the study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience.Gazzaniga 2002, p. xv Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational modeling. Parts of the brain play an important role in this field. Neurons play the most vital role, since the main point is to establish an understanding of cognition from a neural perspective, along with the different lobes of the cerebral cortex. Methods employed in c ...
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AI In Healthcare
Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data. The primary aim of health-related AI applications is to analyze relationships between clinical techniques and patient outcomes. AI programs are applied to practices such as diagnostics, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. What differentiates AI technology from traditional technologies in healthcare is the ability to gather data, process it, and produce a well-defined output to the end-user. AI does this through machine learning algorithms and deep learning. These processes can recognize patterns in behavior and create their ...
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Health Technology
Health technology is defined by the World Health Organization as the "application of organized knowledge and skills in the form of devices, medicines, vaccines, procedures, and systems developed to solve a health problem and improve quality of lives". This includes pharmaceuticals, devices, procedures, and organizational systems used in the healthcare industry, as well as computer-supported information systems. In the United States, these technologies involve standardized physical objects, as well as traditional and designed social means and methods to treat or care for patients. Development Pre-digital Era During a pre-digital era, patients suffered from inefficient and faulty clinical systems, processes, and conditions. Many medical errors happened in the past due to undeveloped health technologies. Some examples of these medical errors included adverse drug events and alarm fatigue. Alarm fatigue is caused when an alarm is repeatedly triggered or activated and one becomes d ...
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Javier Andreu-Perez
Javier Andreu-Perez is a British computer scientist and a Senior Lecturer and Chair in Smart Health Technologies at the University of Essex. He is also associate editor-in-chief of ''Neurocomputing'' for the area of Deep Learning and Machine Learning. Andreu-Perez research is mainly focused on Human-Centered Artificial Intelligence (HCAI). He also chairs a interdisciplinary lab in this area, HCAI-Essex. Early life and education Andreu-Perez was born in Malaga, Spain. During his childhood he spent time living in Essex (United Kingdom), where he later in life joined as an academic, at University of Essex. He received his PhD in Intelligent Systems from Lancaster University (United Kingdom) in 2012. He is also alumni of the Hamlyn Centre at Imperial College London, which is one of the centers that form part of the Institute of Global Health Innovation. The centre focuses on the development of technological innovations for global health challenges. Research and career Andre ...
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Explainable Artificial Intelligence
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. By refining the mental models of users of AI-powered systems and dismantling their misconceptions, XAI promises to help users perform more effectively. XAI may be an implementation of the social right to explanation. XAI is relevant even if there is no legal right or regulatory requirement. For example, XAI can improve the user experience of a product or service by helping end users trust that the AI is making good decisions. This way the aim of XAI is to explain what has been done, what is done right now, what will be done next and unveil the information the actions are based on. These characteristics make it possible (i) to confirm existing knowledge ...
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Hani Hagras
Hani Hagras is a computer scientist and professor from the University of Essex, Colchester, UK was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2013 ''for contributions to fuzzy systems'' in particular for his work on Type-2 fuzzy sets and systems. He is also a Fellow of the IET and a Principal Fellow of the Higher Education Academy (PFHEA), an award issued by Advance HE. Prof. Hagras is Chair of the Centre for Computational Intelligence (C4CI), and co-chair of the Artificial Intelligence Research Group at the University of Essex. He is also Chief Scientific Officer at Temenos AG. Prof. Hagras research on Type-2 fuzzy sets and systems and Explainable Artificial Intelligence has been funded by Innovate UK, European Commission, the UK Department of Trade and Industry (DTI), UK Technology Strategy Board (TSB), UK Engineering and Physical Sciences Research Council (EPSRC), UK Economics and Social Sciences Research Council (ESRC), the Higher Educat ...
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Ray Turner (computer Scientist)
Professor Raymond Turner (born 28 April 1947) is an English logician, philosopher, and theoretical computer scientist based at the University of Essex. He is best known for his work on logic in computer science and for his pioneering work in the philosophy of computer science. He is on the editorial boards for the Journal of Logic and Computation and the Stanford Encyclopedia of Philosophy, for Logic, Computation, and Agency. Books * ''Logics for Artificial Intelligence'', 121 pages, E. Horwood, 1984, * ''Truth and Modality for Knowledge Representation'', 141 pages, The MIT Press, 1991, * ''Constructive Foundations for Functional Languages'', 288 pages, McGraw-Hill Publishing Co, 1 May 1991, * ''Computable Models'', 240 pages, Springer, 2009, * ''Computational Artefacts: Towards a Philosophy of Computer Science'', 285 pages, Springer, 2018, Selected Papers * ''A theory of properties'', The Journal of Symbolic Logic. 52 (02), 455–472. * ''Counterfactuals without possible w ...
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