
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are promising tools that can be used to develop algorithms to better understand and predict interactions between food- and nutrition-related data and health outcomes. Understanding that additional research is needed to identify areas where AI/ML is likely to have an impact, the National Academies Food and Nutrition Board hosted a public workshop in October 2023 to explore the future benefits and limitations of integrating big data and AI/ML tools into nutrition research. Participants also discussed issues related to diversity, equity, inclusion, bias, and privacy and the appropriate use of evidence generated from these new methods.
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Langue Anglais ● Format EPUB ● Pages 128 ● ISBN 9780309715737 ● Éditeur Alice Vorosmarti & Joe Alper ● Maison d’édition National Academies Press ● Publié 2024 ● Téléchargeable 3 fois ● Devise EUR ● ID 9585953 ● Protection contre la copie Adobe DRM
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