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Full Description
A Biologist's Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist's perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.
This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.
Contents
1. An Introduction to Artificial Intelligence from a Biologist's Perspective
2. AI and Biology; Their Potential to Transform Together
3. Artificial Intelligence Techniques Most Popularly Used in Biology
4. Robotics and Computer Vision for Health, Food Security and Environment
6. Applications of AI in Veterinary Sciences
7. Precision Agriculture using AI
8. Genetics, Bioinformatics and AI: the Vast Scope
9. Food Manufacture, Processing, Storage, and Marketing using AI
10. AI in Animal Farms for Management and Breeding
11. AI in Classrooms: How AI Can Aid in Teaching Biology
12. Advances in Robotics for Biological Sciences
13. Ethical Issues Around AI
14. A Meshwork of AI and Biology: the Future of Science
