Search results for: EDGE INTELLIGENCE ACCELERATORS

• Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

  Publication

  • J. Balicki
  • P. Dryja
  • M. Zakidalski

  - Year 2019

  Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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• Fully Tunable Analog Biquadratic Filter for Low-Power Auditory Signal Processing in CMOS Technologies

  Publication

  • W. Jendernalik
  • J. Jakusz

  - Electronics - Year 2024

  A novel Gm-C structure of a second-order continuous-time filter is proposed that allows for the independent control of the filter’s natural frequency (ω0) and quality factor (Q). The structure consists of two capacitors and four transconductors. Two transconductors together with the capacitors form a lossless second-order circuit with tunable ω0. The other two transconductors form a variable gain amplifier (VGA) which realizes...

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• Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension

  Publication

  • E. Szczerbicki
  • C. Sanin
  • K. Sterling-zuluaga

  - Year 2022

  The Semantic Web concept is proposing a future concept of the WorldWideWeb (WWW) where both humans and man-made systems are able to interconnect and exchange knowledge. One of the challenges of Semantic Web is smart and trusted accommodation of knowledge in artificial systems so it can be unified, enhanced, reused, shared, communicated and distributed with added aptitude. Our research represents an important component of addressing...

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• Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud

  Publication

  • J. Balicki
  • H. Balicka
  • P. Dryja
  • M. Tyszka

  - Year 2020

  In a smart city, artificial intelligence tools support citizens and urban services. From the user point of view, smart applications should bring computing to the edge of the cloud, closer to citizens with short latency. However, from the cloud designer point of view, the trade-off between cost, energy and time criteria requires the Pareto solutions. Therefore, the proposed multi-criteria differential evolution can optimize virtual...

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• Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems

  Publication

  • A. Kwaśniewska
  • S. Raghava
  • C. Davila
  • M. Sevenier
  • D. Gamba
  • J. Rumiński

  - Year 2022

  The rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased over the past ten years and continues to accelerate. Since then, AI has made the leap from research case studies to real production ready applications. The significance of this growth cannot be undermined as it catalyzed the very nature of computing. Conventional platforms struggle to achieve greater performance...

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• AI-Driven Sustainability in Agriculture and Farming

  Publication

  • J. Szymański
  • K. Nurzyńska
  • P. Weichbroth

  - Year 2025

  In this chapter, we discuss the role of artificial intelligence (AI) in promoting sustainable agriculture and farming. Three main themes run through the chapter. First, we review the state of the art of smart farming and explore the transformative impact of AI on modern agricultural practices, focusing on its contribution to sustainability. With this in mind, our analysis focuses on topics such as data collection and storage, AI...

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• Visions for the future of particle accelerators

  Publication

  • R. Romaniuk
  • R. S. Romaniuk

  - Year 2013

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• Leading Edge

  Journals

  ISSN: 1070-485X

• Smart Knowledge Engineering for Cognitive Systems: A Brief Overview

  Publication

  • C. Silva de Oliveira
  • C. Sanin
  • E. Szczerbicki

  - CYBERNETICS AND SYSTEMS - Year 2022

  Cognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...

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• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence