AI for Scientific Discovery / (Record no. 7173)

MARC details
000 -LEADER
fixed length control field 02391 a2200265 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250922165537.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032124841
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number HasA
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Hastings, Janna
245 ## - TITLE STATEMENT
Title AI for Scientific Discovery /
Statement of responsibility, etc Janna Hastings
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton:
Name of publisher CRC Press;
Year of publication ©2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii, 119p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title AI for Everything
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Preface. Acknowledgements. About the Author. 1 Introduction: AI and the Digital Revolution in Science. 2 AI for Managing Scientific Literature and Evidence. 3 AI for Data Interpretation. 4 AI for Reproducible Research. 5 Limitations of AI and Strategies for Combating Bias. 6 Conclusion: AI and the Future of Scientific Discovery. Index.
520 ## - SUMMARY, ETC.
Summary, etc AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple 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 and supporting the management of large-scale data and knowledge resources so that they can be shared and 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 and 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 number-crunching and statistical inference at a massive scale that AI technologies are best at.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Robotics Computation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Human Computer Interaction
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Social Impact of Computing & IT on Society
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term General Computing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Algorithms and Complexity
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Computer Science Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 30/07/2025 Today and Tomorrows Printers and Publishers 1875.32 TTPP/132/2025-26 006.3 HasA (11509) 11509 Copy 1 2679.02 30/07/2025 Books