This paper presents a comprehensive overview of recent innovations in artificial intelligence (AI) that have significantly advanced the development of autonomous systems. Autonomous systems are characterized by their ability to operate independently, make decisions, and perform tasks without human intervention. The growth in AI research has led to the development of sophisticated algorithms and machine learning techniques that facilitate the complex decision-making processes required for autonomy. The abstract discusses the integration of AI into various domains, including robotics, transportation, and healthcare, highlighting how advancements in computer vision, natural language processing, and reinforcement learning have enabled systems to perceive their environments, understand human language, and learn from experience. Furthermore, the paper examines the ethical implications and challenges associated with the deployment of autonomous systems, emphasizing the need for robust safety measures and regulatory frameworks. Overall, the abstract underscores the transformative potential of AI in shaping the future of autonomous systems and the importance of interdisciplinary collaboration in achieving this goal.
Harris, J. Innovations in Artificial Intelligence for Autonomous Systems. Advanced Sciences, 2022, 4, 33. https://doi.org/10.69610/j.as.20221023
AMA Style
Harris J. Innovations in Artificial Intelligence for Autonomous Systems. Advanced Sciences; 2022, 4(2):33. https://doi.org/10.69610/j.as.20221023
Chicago/Turabian Style
Harris, James 2022. "Innovations in Artificial Intelligence for Autonomous Systems" Advanced Sciences 4, no.2:33. https://doi.org/10.69610/j.as.20221023
APA style
Harris, J. (2022). Innovations in Artificial Intelligence for Autonomous Systems. Advanced Sciences, 4(2), 33. https://doi.org/10.69610/j.as.20221023
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