Generative AI
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Generative AI is a cutting-edge field that integrates machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. It's designed to understand and learn from vast amounts of data, identifying patterns, styles, and characteristics inherent in the input material. This capability allows it to produce new, original content that mirrors the complexity and variability of human-generated outputs (Sai et al. 2024). The applications of generative AI are vast and varied. In creative industries, it can generate art, music, and literature, providing tools for artists to explore new creative territories. In business, it can create realistic simulations and models for training, marketing, and product development. Additionally, generative AI plays a crucial role in synthesizing realistic voices and deepfakes, raising important ethical considerations regarding its use and the potential for misuse in spreading misinformation.
Reference:
Sai, Siva, Aanchal Gaur, Revant Sai, Vinay Chamola, Mohsen Guizani, and Joel J. P. C. Rodrigues. 2024. “Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations.” IEEE Access 12: 31078–106. https://doi.org/10.1109/ACCESS.2024.3367715.
Generative AI
Generative AI is a cutting-edge field that integrates machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. It's designed to understand and learn from vast amounts of data, identifying patterns, styles, and characteristics inherent in the input material. This capability allows it to produce new, original content that mirrors the complexity and variability of human-generated outputs.
The applications of generative AI are vast and varied. In creative industries, it can generate art, music, and literature, providing tools for artists to explore new creative territories. In business, it can create realistic simulations and models for training, marketing, and product development. Additionally, generative AI plays a crucial role in synthesizing realistic voices and deepfakes, raising important ethical considerations regarding its use and the potential for misuse in spreading misinformation.
Reference:
Sai, Siva, Aanchal Gaur, Revant Sai, Vinay Chamola, Mohsen Guizani, and Joel J. P. C. Rodrigues. 2024. “Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations.” IEEE Access 12: 31078–106. https://doi.org/10.1109/ACCESS.2024.3367715.
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Wearable
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Wearable AI, usually a small device or computer incorporated with both predictive and perceptual capacities, can be commonly seen in smart glasses and smart watches to collect biometric data such as body and skin temperature, blood pressure, and heart rate using microprocessors and sensors to provide health management and early diagnosis (Nahavandi et al. 2022). Although Wearable AI is most used in fitness trackers for regular health monitoring, it has great potential in helping patients with different physical and mental disorders.
Reference:
Nahavandi, Darius, Roohallah Alizadehsani, Abbas Khosravi, and U Rajendra Acharya. 2022. “Application of Artificial Intelligence in Wearable Devices: Opportunities and Challenges.” Computer Methods and Programs in Biomedicine 213 (January): 106541. https://doi.org/10.1016/j.cmpb.2021.106541.