Automation, Control and Intelligent Systems

Special Issue

Emerging Trends in Artificial Intelligence and Machine Learning

  • Submission Deadline: Jun. 30, 2024
  • Status: Open for Submission
  • Lead Guest Editor: Siva Jyothi Penamakuru
About This Special Issue
In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become integral components of various industries, revolutionizing the way we approach problem-solving and decision-making. This special issue aims to delve into the latest trends, challenges, and breakthroughs in the field, providing a comprehensive overview of the current state of AI and ML.
Artificial Intelligence and Machine Learning have witnessed unprecedented growth, influencing domains ranging from healthcare and finance to transportation and entertainment. This special issue seeks to explore the multifaceted landscape of AI and ML, emphasizing their impact on society, industry, and academia. We aim to gather a collection of high-quality articles that not only showcase cutting-edge research but also address the broader implications and applications of AI and ML.
The primary goal of this special issue is to advance the understanding and application of Artificial Intelligence and Machine Learning in various domains. We invite contributions that explore the transformative potential of AI and ML with particular interest in its impact on Education, Finance, Healthcare, Retail etc
We welcome a diverse range of contributions, including original research articles, review papers, case studies, and opinion pieces. Authors are encouraged to present their findings, methodologies, and insights related to the aforementioned topics, fostering a rich discussion within the AI and ML community.
Through this special issue, we aim to consolidate the latest research and advancements in AI and ML, providing a platform for researchers and practitioners to share their knowledge and perspectives. The outcomes of this special issue will contribute to the ongoing dialogue on the responsible development and deployment of AI technologies, shaping the future of intelligent systems.
Researchers from various disciplines are invited to contribute, creating an interdisciplinary collection that reflects the collaborative nature of addressing challenges and exploring opportunities in Artificial Intelligence and Machine Learning. Your valuable contributions will play a pivotal role in advancing our understanding and application of these transformative technologies.

Potential Topics:

  1. Ethical considerations in AI and ML
  2. Advancements in deep learning algorithms
  3. Explainability and interpretability in machine learning models
  4. Applications of AI in healthcare and medical diagnostics
  5. AI-driven innovations in financial technology
  6. Natural Language Processing and its evolving role
  7. AI for cybersecurity and threat detection
  8. Challenges and opportunities in AI for edge computing
Lead Guest Editor
  • Siva Jyothi Penamakuru

    Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, India

Guest Editors
  • Rohita Yamaganti

    Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, India

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