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AI for scientific discovery /
"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 mul...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
2023.
|
| Edición: | First edition. |
| Colección: | AI for everything.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 007 | cr cnu---unuuu | ||
| 008 | 230218t20232023flua ob 001 0 eng | ||
| 010 | |a 2022056544 | ||
| 040 | |a DLC |b eng |e rda |c DLC |d TYFRS |d OCLCF |d YDX |d ORMDA |d OCLCQ |d OCLCO | ||
| 019 | |a 1376454811 | ||
| 020 | |a 9781003226642 |q electronic book | ||
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| 020 | |a 9781000885163 |q electronic book | ||
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| 035 | |a (OCoLC)1376234230 |z (OCoLC)1376454811 | ||
| 037 | |a 9781003226642 |b Taylor & Francis | ||
| 037 | |a 9781000885163 |b O'Reilly Media | ||
| 042 | |a pcc | ||
| 050 | 0 | 4 | |a Q180.55.E4 |b H37 2023 |
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| 049 | |a UAMI | ||
| 100 | 1 | |a Hastings, Janna, |e author. | |
| 245 | 1 | 0 | |a AI for scientific discovery / |c Janna Hastings. |
| 246 | 3 | |a Artificial intelligence for scientific discovery | |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c 2023. | |
| 264 | 4 | |c Ã2023 | |
| 300 | |a 1 online resource (xiii, 119 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a AI for everything series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a "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"-- |c Provided by publisher. | ||
| 545 | 0 | |a 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. | |
| 588 | |a Description based on online resource; title from digital title page (viewed on July 31, 2023). | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Research |x Data processing. | |
| 650 | 0 | |a Science |x Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Sciences |x Informatique. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a COMPUTERS / General |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Computer Science |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Social Aspects / General |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Research |x Data processing |2 fast | |
| 650 | 7 | |a Science |x Data processing |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Hastings, Janna. |t AI for scientific discovery |b First edition. |d Boca Raton : CRC Press, 2023 |z 9781032128771 |w (DLC) 2022056543 |
| 830 | 0 | |a AI for everything. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781000885163/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||