Search

Showing total 4 results
Start Over Topic computer science Topic artificial intelligence Publication Type Electronic Resources
4 results

1. How AI Impacts Urban Living and Public Health. 17th International Conference, ICOST 2019, New York City, NY, USA, October 14-16, 2019, Proceedings.

Author

Pagán, José, Mokhtari, Mounir, Aloulou, Hamdi, Abdulrazak, Bessam, Cabrera, María Fernanda, and Pagán, José

Subjects
Network hardware, Artificial intelligence, Expert systems / knowledge-based systems, User interface design & usability, Computer science, Computer communication systems, Special purpose computers, User interfaces (Computer systems)
Abstract

Summary: This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.

2. Participative Urban Health and Healthy Aging in the Age of AI. 19th International Conference, ICOST 2022, Paris, France, June 27-30, 2022, Proceedings.

Author

Aloulou, Hamdi, Abdulrazak, Bessam, de Marassé-Enouf, Antoine, Mokhtari, Mounir, and Aloulou, Hamdi

Subjects
Network hardware, Software Engineering, Information retrieval, User interface design & usability, Computer vision, Information technology: general issues, architecture types, artificial intelligence, communication systems, computer hardware, computer networks, computer science, computer systems, engineering, Human-Computer Interaction (HCI), internet, Internet of Things (IoT), network protocols, sensors, signal processing, software architecture, software design, software engineering, telecommunication systems, ubiquitous computing, user interfaces
Abstract

Summary: This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems.

3. Numerical and Evolutionary Optimization 2021.

Author

Quiroz, Marcela, de la Fraga, Luis Gerardo, Lara, Adriana, Trujillo, Leonardo, Schütze, Oliver, and Quiroz, Marcela

Subjects
Information technology industries, Computer science, distributor's pallet loading problem, heuristics, bin packing, real-life instances, emergency medical services, emergency medicine, decision-support system, pre-hospital emergency care, ambulance response time, machine learning, geo-indistinguishability, differential privacy, privacy-preserving machine learning, input perturbation, estimation of distribution algorithm, Mallows model, moth-flame algorithm, job shop scheduling problem, quay crane scheduling problem, first-passage time, Markov chain, queueing theory, simulation, OR in health services, KPI, wind energy, wind turbine blades, erosion, modal analysis, aerodynamic analysis, AutoML, feature selection, fault severity assessment, gearboxes, XGBoost classifiers, autism, attention, ASD, learning activities, EEG, BCI, features, artificial intelligence, Grouping Genetic Algorithm, variable decomposition, Large-Scale Constrained Optimization, DVT, early diagnosis, machine-learning, smart system, embedded system, edge computing, edge device, OpenFOAM, CFD, ANFIS, ANFIS (GA), ANFIS (PSO), ANFIS (FFA), nonlinear programming, largest small polygons (LSP), {LSP(n)} model-class, optimal area sequence {A(n)}, revised LSP model, mathematica model development environment, IPOPT solver engine, numerical optimization results and regression model for estimating {A(n)}, n/a
Abstract

Summary: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

4. Inventing intelligence : on the history of complex information processing and artificial intelligence in the United States in the mid-twentieth century

Author

Penn, Jonathan, Staley, Richard, and Curry, Helen

Subjects
006.3, Complex Information Processing, Artificial Intelligence, Business History, Mid-Twentieth Century, United States, Mathematical Sciences, Management Science, Computer Science, Bureaucracy, Herbert A. Simon, Frank Rosenblatt, John McCarthy, Marvin Minsky, Cold War
Abstract

In the mid-1950s, researchers in the United States melded formal theories of problem solving and intelligence with another powerful new tool for control: the electronic digital computer. Several branches of western mathematical science emerged from this nexus, including computer science (1960s–), data science (1990s–) and artificial intelligence (AI). This thesis offers an account of the origins and politics of AI in the mid-twentieth century United States, which focuses on its imbrications in systems of societal control. In an effort to denaturalize the power relations upon which the field came into being, I situate AI’s canonical origin story in relation to the structural and intellectual priorities of the U.S. military and American industry during the Cold War, circa 1952 to 1961. This thesis offers a detailed and comparative account of the early careers, research interests, and key outputs of four researchers often credited with laying the foundations for AI and machine learning—Herbert A. Simon, Frank Rosenblatt, John McCarthy and Marvin Minsky. It chronicles the distinct ways in which each sought to formalise and simulate human mental behaviour using digital electronic computers. Rather than assess their contributions as discontinuous with what came before, as in mythologies of AI's genesis, I establish continuities with, and borrowings from, management science and operations research (Simon), Hayekian economics and instrumentalist statistics (Rosenblatt), automatic coding techniques and pedagogy (McCarthy), and cybernetics (Minsky), along with the broadscale mobilization of Cold War-era civilian-led military science generally. I assess how Minsky’s 1961 paper 'Steps Toward Artificial Intelligence' simultaneously consolidated and obscured these entanglements as it set in motion an initial research agenda for AI in the following two decades. I argue that mind-computer metaphors, and research in complex information processing generally, played an important role in normalizing the small- and large-scale structuring of social behaviour using mathematics in the United States from the second half of the twentieth century onward.

Published
2020
Full Text
View/download PDF