This paper explores the use of immersive technolo-gies and AI-driven virtual interactions to aid the social reintegration of incarcerated individuals. By integrating a ChatGPT-based AI within a virtual reality framewo...
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The reintegration of incarcerated individuals into society presents significant challenges, particularly in addressing barriers related to vocational training, social skill development, and emotional rehabilitation. I...
详细信息
The reintegration of incarcerated individuals into society presents significant challenges, particularly in addressing barriers related to vocational training, social skill development, and emotional rehabilitation. I...
详细信息
ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
The reintegration of incarcerated individuals into society presents significant challenges, particularly in addressing barriers related to vocational training, social skill development, and emotional rehabilitation. immersive technologies, such as Virtual Reality and Augmented Reality, combined with generative Artificial Intelligence (AI) and Large Language Models, offer innovative opportunities to enhance these areas. These technologies create practical, controlled environments for skill acquisition and behavioral training, while generative AI enables dynamic, personalized, and adaptive experiences. This paper explores the broader potential of these integrated technologies in supporting rehabilitation, reducing recidivism, and fostering sustainable employment opportunities and these initiatives align with the overarching equity objective of ensuring Decent Work for All, reinforcing the commitment to inclusive and equitable progress across diverse communities, through the transformative potential of immersive and AI-driven systems in correctional systems.
This paper explores the use of immersive technolo-gies and AI-driven virtual interactions to aid the social reintegration of incarcerated individuals. By integrating a ChatGPT-based AI within a virtual reality framewo...
详细信息
ISBN:
(数字)9798331521578
ISBN:
(纸本)9798331521585
This paper explores the use of immersive technolo-gies and AI-driven virtual interactions to aid the social reintegration of incarcerated individuals. By integrating a ChatGPT-based AI within a virtual reality framework, the developed application offers interactive, realistic simulations aimed at fostering essential skills, such as effective communication and vocational abilities. Users interact with a lifelike avatar, designed to simulate scenarios like job interviews and interpersonal dialogues, promoting empathy, self-confidence, and behavioral adaptability. Initial assessments indicate that the application effectively supports engaging and empathetic interactions, which are crucial for preparing individuals for reintegration into society. The application will be open-access, allowing further refinement and adaptability by experts and developers, ultimately aiming to reduce recidivism and support a more humane approach to correctional rehabilitation through technological advancement.
This study explores and systematically reviews advancements in applying artificial intelligence (AI) and Internet of Things (IoT) technologies to the high-pressure die casting (HPDC) process. Widely utilized in alumin...
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ISBN:
(数字)9798331515478
ISBN:
(纸本)9798331515485
This study explores and systematically reviews advancements in applying artificial intelligence (AI) and Internet of Things (IoT) technologies to the high-pressure die casting (HPDC) process. Widely utilized in aluminum automotive part production, HPDC presents significant challenges, including defect reduction, process optimization, and predictive maintenance. The primary objective of this research is to examine how AI and IoT can address these challenges by enhancing decision-making, improving quality control, and increasing operational efficiency. The systematic review, based on PRISMA guidelines, analyzed 16 peer-reviewed studies that focus on the integration of machine learning (ML) and deep learning (DL) techniques in HPDC. The findings reveal critical applications, such as defect detection, predictive modeling for optimizing the solidification cycle, and fault diagnosis. Despite the potential benefits, challenges remain, including high implementation costs, data quality issues, and the limited interpretability of AI models. Furthermore, the analysis underscores the predominance of private datasets and highlights the need for public, anonymized repositories to foster collaborative research. This study contributes by providing a comprehensive overview of AI applications in HPDC, identifying existing barriers, and proposing directions for future research. These findings reinforce the transformative potential of AI in advancing Industry 4.0 and offer valuable insights for academia and industry, paving the way for more sustainable and efficient HPDC operations.
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