Aim and Scope

Aim: The journal Future and Emerging Technologies in AI & ML aims to explore and present groundbreaking research, developments, and applications of artificial intelligence (AI) and machine learning (ML) technologies, with a special focus on their future potential and emerging trends. It seeks to foster interdisciplinary discussions on how these technologies will shape industries, economies, and societies in the years to come. The journal’s goal is to provide a platform for researchers, practitioners, and policymakers to exchange insights, innovations, and visionary ideas in the field of AI and ML, promoting the responsible and sustainable integration of these technologies in diverse domains.

Scope: The journal covers a wide array of topics related to the future and emerging advancements in AI and ML. Its scope includes, but is not limited to:

  1. Cutting-Edge AI and ML Techniques:

    • Novel machine learning algorithms, deep learning methods, reinforcement learning, and neural networks.
    • Advances in generative models (e.g., GANs, Transformers) and their implications for various sectors.
    • Quantum computing and its integration with AI and ML.
    • Autonomous systems and intelligent robotics.

  2. AI/ML Applications Across Industries:

    • AI in healthcare, bioinformatics, personalized medicine, and drug discovery.
    • Smart cities, autonomous vehicles, and AI-powered infrastructure.
    • AI in manufacturing, logistics, and supply chain management.
    • AI in finance, cybersecurity, and digital forensics.
    • Applications in education, agriculture, and climate change mitigation.

  3. Ethics, Policy, and Governance in AI/ML:

    • Ethical considerations, bias reduction, and fairness in AI/ML models.
    • Privacy, data protection, and regulatory challenges in AI applications.
    • The societal impact of AI/ML technologies, including the future of work and human-machine collaboration.
    • AI governance frameworks and policy recommendations.

  4. Future Trends and Emerging Technologies:

    • AI and ML in the context of Internet of Things (IoT), 5G, and edge computing.
    • Augmented reality (AR) and virtual reality (VR) powered by AI.
    • Cognitive computing and advancements in human-like machine intelligence.
    • AI for sustainability and environmental protection.
    • Integration of AI with blockchain and decentralized technologies.

  5. AI/ML Methodologies for Big Data and Cloud Computing:

    • AI/ML techniques for large-scale data analytics and pattern recognition.
    • Federated learning, cloud-based AI, and distributed learning architectures.
    • Data mining and predictive analytics for business intelligence.

  6. AI in Creativity and Human-Machine Interaction:

    • AI-powered art, music, and content creation.
    • Natural language processing, computer vision, and human-centered AI.
    • Cognitive augmentation and human-computer interfaces.

The journal encourages the submission of both theoretical and practical research, as well as case studies and surveys, to drive forward-thinking discussions on the transformative potential of AI and ML in addressing current challenges and shaping the future. The aim is to be a leading source of knowledge for researchers and practitioners who are at the cutting edge of AI and ML advancements.