| Description |
1 online resource (xiii, 119 pages) : illustrations. |
| Series |
AI for everything series |
|
AI for everything.
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Introduction : AI and the digital revolution in science -- AI for managing scientific literature and evidence -- AI for data interpretation -- AI for reproducible research -- Limitations of AI and strategies for combating bias -- Conclusion : AI and the future of scientific discovery. |
| Summary |
"AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines. Artificial intelligence technologies support discovery science in multiple different ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation - in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research, by underpinning the discovery process with AI-enabled standards and pipelines, support the management of large-scale data and knowledge resources so that they can be shared, integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of the number-crunching and statistical inference at massive scale that AI technologies are best at"-- Provided by publisher. |
| Biography |
Janna Hastings is a computer scientist with more than a decade of experience across the life, behavioural and social sciences. She is also a data scientist with a PhD in computational biology and extensive experience in bioinformatics, cheminformatics and psychoinformatics. She is currently Assistant Professor of Medical Knowledge and Decision Support at the University of Zurich, and Vice-Director of the School of Medicine at the University of St. Gallen. Her current research focuses on bridging the gaps between knowledge and learning to bring AI technologies in medicine closer to the needs and workflows of clinicians and to support truly interdisciplinary and integrative knowledge discovery. |
| Subject |
Research -- Data processing.
|
|
Science -- Data processing.
|
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Artificial intelligence.
|
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Sciences -- Informatique. |
|
Intelligence artificielle. |
|
artificial intelligence. |
|
Artificial intelligence |
|
Research -- Data processing |
|
Science -- Data processing |
| Added Title |
Artificial intelligence for scientific discovery |
| Other Form: |
Print version: Hastings, Janna. AI for scientific discovery First edition. Boca Raton : CRC Press, 2023 9781032128771 (DLC) 2022056543 |
| ISBN |
9781003226642 electronic book |
|
1003226647 electronic book |
|
9781000885163 electronic book |
|
100088516X electronic book |
|
9781000885095 electronic book |
|
1000885097 electronic book |
|
hardcover |
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paperback |
| Standard No. |
10.1201/9781003226642 doi |
|
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