Αποτελέσματα Αναζήτησης
4 Ιουλ 2024 · This review will discuss the application of expert systems, machine learning and deep learning approaches in the context of refractive lens design generation. Optimisation of SPDs generated by AI networks is considered to be outside of the scope of this review.
1 Απρ 2023 · AI has risen in power as a result of significant advances in computational capacity and a wide range of new technologies (e.g., computer vision, machine learning, and natural language processing) (Mariani et al., 2022), as well as the blast of data to train algorithms (Bornet et al., 2021).
30 Ιουλ 2023 · This research paper provides a comprehensive review of the impact of AI and ML on innovation. It examines how these technologies have influenced different aspects of innovation, including...
31 Μαρ 2021 · Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses on state-of-the-art DL algorithms and aims to highlight the contributions of DL to optical communications.
20 Σεπ 2024 · The review begins by outlining key concepts, including the distinctions between AI, ML, and deep learning, and delves into various learning paradigms such as supervised, unsupervised, and...
3 Ιαν 2023 · This review highlights the applications of AI in ophthalmology: a specialty that lends itself well to the integration of computer algorithms due to the high volume of digital imaging, data, and objective metrics such as central retinal thickness.
27 Σεπ 2023 · This journal article provides a comprehensive evaluation of recent improvements in AI and ML, exploring key methodologies, applications, and the implications of these technologies. Since...
