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Global Journal of Technology and Optimization

ISSN: 2229-8711

Open Access

Aleksander Garcia

Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea

Publications
  • Mini Review   
    Artificial Intelligence System Optimisation: Improving Performance and Efficiency
    Author(s): Aleksander Garcia*

    As the field of Artificial Intelligence (AI) continues to advance at a rapid pace, the need for optimization techniques becomes increasingly crucial. Optimization plays a vital role in enhancing the performance and efficiency of AI systems, enabling them to tackle complex tasks with greater accuracy and speed. This article explores 20 key optimization methods employed in AI systems, ranging from algorithmic improvements to hardware and software enhancements. By understanding these optimization strategies, researchers and practitioners can unlock the full potential of AI and drive innovation in various domains... Read More»
    DOI: 10.37421/2229-8711.2023.14.322

    Abstract HTML PDF

Google Scholar citation report
Citations: 664

Global Journal of Technology and Optimization received 664 citations as per Google Scholar report

Global Journal of Technology and Optimization peer review process verified at publons

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