The field of Artificial Intelligence (AI) is changing at a dramatic pace. Every day, new articles and information about AI are topics of discussion. If you want to take a deeper dive into this complex topic, check out these AI eBooks and audiobooks available from the NIH Library.
eBooks
Get back to basics with eBooks featuring AI fundamentals, machine learning, natural language processing, deep learning, and more. Recent titles from the NIH Library’s extensive eBook collection include:
- AI in Clinical Medicine: A Practical Guide for Healthcare Professionals (2023)
- Explainable Deep Learning AI (2023)
- Foundation Models for Natural Language Processing (2023)
- Fundamentals of Artificial Intelligence (2020)
- Machine Learning and Artificial Intelligence (2023)
- Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases (2023)
- Responsible AI: Implementing Ethical and Unbiased Algorithms (2021)
- Sex and Gender Bias in Technology and Artificial Intelligence (2022)
- Understanding Artificial Intelligence: Fundamentals and Applications (2022)
Popular Science AI eBooks and Audiobooks
NIH staff can check out AI titles through the NIH Library’s OverDrive platform. Information on how to set up and use OverDrive is available on the Library’s OverDrive FAQ page.
- The Alignment Problem: Machine Learning and Human Values [eBook] (2020)
- Artificial You: AI and the Future of Your Mind [audiobook] (2019)
- The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence [eBook] (2021)
- Human Compatible: Artificial Intelligence and the Problem of Control [audiobook] (2019)
For more information, contact Rebecca Jacob, rebecca.jacob@nih.gov.
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