• Advances on Machine Learning and Artificial Intelligence in Computer Technology
    Vol. 11 No. 8s (2023)


    Machine Learning (ML) and Artificial Intelligence (AI) have revolutionized numerous domains, including computer technology. The seamless integration of ML and AI techniques into computer technology has significantly enhanced its capabilities, leading to breakthroughs in various fields such as natural language processing, computer vision, data analytics, and robotics, among others. This special issue aims to present the latest advances, applications, and challenges in the intersection of ML, AI, and computer technology.


    The scope of this special issue encompasses a wide range of topics related to the advances in ML and AI techniques within the context of computer technology. The objective is to gather high-quality research contributions that demonstrate innovative approaches, novel algorithms, and practical applications that harness the power of ML and AI in enhancing computer technology.

    The potential areas of interest for this special issue include, but are not limited to:

    1. Machine learning algorithms and models for computer technology:
    - Supervised, unsupervised, and reinforcement learning algorithms.
    - Deep learning architectures and neural networks for computer technology applications.
    - Transfer learning and domain adaptation techniques in computer technology.

    2. Artificial intelligence applications in computer technology:
    - Natural language processing and understanding in computer systems.
    - Computer vision, image recognition, and object detection in computer technology.
    - AI-driven data analytics, decision-making, and pattern recognition in computer systems.
    - Robotics and autonomous systems in computer technology.

    3. Advances in computer technology enabled by ML and AI:
    - ML and AI techniques for cybersecurity, threat detection, and intrusion detection.
    - Intelligent systems for network management, optimization, and anomaly detection.
    - ML-based software engineering tools, including code generation and bug detection.
    - AI-enabled computer hardware designs and architectures.

    4. Challenges and future directions:
    - Ethical considerations and fairness in ML and AI for computer technology.
    - Addressing bias and interpretability challenges in ML and AI systems.
    - Scalability and efficiency issues in deploying ML and AI in computer technology.
    - Emerging trends, novel applications, and future research directions in the field.

    Researchers, academicians, industry professionals, and practitioners are encouraged to submit original research papers, reviews, and case studies that explore the advances, applications, and challenges of ML and AI in computer technology. The special issue aims to foster knowledge exchange, collaboration, and innovation in this rapidly evolving field, ultimately contributing to the advancement of computer technology through ML and AI.

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