Just-in-Accuracy: Mobile Approach to Uncertainty

Authors

  • Martine Ceberio Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA
  • Christoph Lauter Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA
  • Vladik Kreinovich Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA

DOI:

https://doi.org/10.13052/jmm1550-4646.2036

Keywords:

uncertainty, precision, accuracy, mobile computing

Abstract

To make a mobile device last longer, we need to limit computations to a bare minimum. One way to do that, in complex control and decision making problems, is to limit precision with which we do computations, i.e., limit the number of bits in the numbers’ representation. A problem is that often, we do not know with what precision should we do computations to get the desired accuracy of the result. What we propose is to first do computations with very low precision, then, based on these computations, estimate what precision is needed to achieve the given accuracy, and then perform computations with this precision.

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Author Biographies

Martine Ceberio, Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA

Martin Ceberio is a professor of Computer Science at the University of Texas at El Paso. She joined UTEP in 2003 after obtaining her PhD in Computer Science from the University of Nantes, France (2003). Her research revolves around reliable decision-making under uncertainty, optimization, constraint solving, solving dynamical systems, and studying neural networks with uncertainty. She is passionate about teaching and mentoring students. She is a fierce advocate of her students’ success and seizes every opportunity to provide advice and mentoring. Her other passion is in broadening participation in Computer Science and fostering cultures of inclusion. She hosts young women high-school students as research interns in her research lab to introduce them to computing in summers.

Christoph Lauter, Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA

Christoph Lauter received his PhD in Computer Science from Ecole Normale Superieure de Lyon, France, in 2008. He worked as a Software Engineer in the Numerics Team at Intel Corporation in 2008-10 and in 2022. Since 2010, he has been Maitre de Conferences (Associate Professor) at Sorbonne Universite, Paris, France. In 2018, he joined University of Alaska Anchorage (UAA), where he worked as an Assistant Professor until 2022. In 2022, he joined University of Texas at El Paso (UTEP), where he holds an Associate Professor position. His research interests are Floating-Point Arithmetic, Uncertainty Quantification and Validated Numerical Computing.

Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA

Vladik Kreinovich is Professor of Computer Science at the University of Texas at El Paso. His main interests are representation and processing of uncertainty, especially interval computations and intelligent control. He has published 13 books, 44 edited books, and more than 2,000 papers.

Vladik is President-Elect of the International Fuzzy Systems Association (IFSA), Secretary of the IEEE Systems, Man, and Cybernetics Society, Fellow of International Fuzzy Systems Association (IFSA), Fellow of Mexican Society for Artificial Intelligence (SMIA), Fellow of the Russian Association for Fuzzy Systems and Soft Computing.

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Published

2024-05-06

How to Cite

Ceberio, M., Lauter, C., & Kreinovich, V. (2024). Just-in-Accuracy: Mobile Approach to Uncertainty. Journal of Mobile Multimedia, 20(03), 665–678. https://doi.org/10.13052/jmm1550-4646.2036

Issue

2024: Vol 20 Iss 3

Section

Control and Decision-making Systems with Mobile Applications

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