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Affiner la recherche Interroger des sources externesAdopting Artificial Intelligence Tools in Higher Education: Teaching and Learning / Thangavel Murugan
Titre : Adopting Artificial Intelligence Tools in Higher Education: Teaching and Learning Type de document : texte imprimé Auteurs : Thangavel Murugan, Auteur Editeur : Taylor & Francis Ltd Langues : Français (fre) Langues originales : Français (fre) Index. décimale : 006 Méthodes d'informatiques spéciales Adopting Artificial Intelligence Tools in Higher Education: Teaching and Learning [texte imprimé] / Thangavel Murugan, Auteur . - [S.l.] : Taylor & Francis Ltd, [s.d.].
Langues : Français (fre) Langues originales : Français (fre)
Index. décimale : 006 Méthodes d'informatiques spéciales Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 25/327056 L/006.068 Livre Bibliothèque Centrale indéterminé Exclu du prêt
Titre : AI and the Future of the Public Sector : The Creation of Public Sector 4.0 Type de document : texte imprimé Auteurs : Tony Boobier, Auteur Mention d'édition : 1éd. Editeur : USA : John Wiley et Sons Année de publication : 2022 Importance : 260p. Présentation : Couverture externe,tableaux,figures Format : 26X18cm ISBN/ISSN/EAN : 978-1-119-86810-1 Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm) Catégories : 4 Sciences sociales et humaines Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : In AI and the Future of the Public Sector: The Creation of Public Sector 4.0, renowned executive and consultant Tony Boobier delivers a comprehensive reference of the most relevant and central issues regarding the adoption and implementation of AI in the public sector. In the book, you'll find out why data and analytics are the solution to significant and ongoing problems in the public service relating to its ability to effectively provide services in an environment of reduced funding. You'll also discover the likely impact of future technological developments, like 5G and quantum computing, as well as explore the future of healthcare and the effective digitalization of the healthcare industry.
The book also offers:
Discussions of policing 4.0 and how data and analytics will transform public safety Explorations of the future of education and how ai can dramatically enhance educational standards while reducing costs Treatments of the internationalization of public services and its impact on agencies and departments everywhere
A can't-miss resource for public sector employees at the managerial and professional levels, AI and the Future of the Public Sector is an insightful and timely blueprint to the effective use of artificial intelligence that belongs in the bookshelves of policy makers, academics, and public servants around the world.Note de contenu : Introduction
Chapter1:Understanding the key building blocks of progress
Chapter2:office of finance
Chapter3:public order and safety
Chapter4:Personal social services
Chapter5:Health
Chapter6:Education
Chapter7:Defense
Chapter8:Smarter cities and transportation
Chapter9:Housing and the environment
Chapter10:Employment,industry,and agriculture
Chapter11:The role of the state
Chapter12:Risk and cybercrime
Chapter13:Implementation-leadership and management
Chapter14:Further implementation issues
Chapter15:CONCLUSION
Appendix:A,B,c,D
Index
AI and the Future of the Public Sector : The Creation of Public Sector 4.0 [texte imprimé] / Tony Boobier, Auteur . - 1éd. . - [S.l.] : USA : John Wiley et Sons, 2022 . - 260p. : Couverture externe,tableaux,figures ; 26X18cm.
ISBN : 978-1-119-86810-1
Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm)
Catégories : 4 Sciences sociales et humaines Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : In AI and the Future of the Public Sector: The Creation of Public Sector 4.0, renowned executive and consultant Tony Boobier delivers a comprehensive reference of the most relevant and central issues regarding the adoption and implementation of AI in the public sector. In the book, you'll find out why data and analytics are the solution to significant and ongoing problems in the public service relating to its ability to effectively provide services in an environment of reduced funding. You'll also discover the likely impact of future technological developments, like 5G and quantum computing, as well as explore the future of healthcare and the effective digitalization of the healthcare industry.
The book also offers:
Discussions of policing 4.0 and how data and analytics will transform public safety Explorations of the future of education and how ai can dramatically enhance educational standards while reducing costs Treatments of the internationalization of public services and its impact on agencies and departments everywhere
A can't-miss resource for public sector employees at the managerial and professional levels, AI and the Future of the Public Sector is an insightful and timely blueprint to the effective use of artificial intelligence that belongs in the bookshelves of policy makers, academics, and public servants around the world.Note de contenu : Introduction
Chapter1:Understanding the key building blocks of progress
Chapter2:office of finance
Chapter3:public order and safety
Chapter4:Personal social services
Chapter5:Health
Chapter6:Education
Chapter7:Defense
Chapter8:Smarter cities and transportation
Chapter9:Housing and the environment
Chapter10:Employment,industry,and agriculture
Chapter11:The role of the state
Chapter12:Risk and cybercrime
Chapter13:Implementation-leadership and management
Chapter14:Further implementation issues
Chapter15:CONCLUSION
Appendix:A,B,c,D
Index
Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 24/324589 L/006.054 Livre Bibliothèque Centrale indéterminé Exclu du prêt
Titre : AI by Design : A Plan for Living with Artificial Intelligence Type de document : texte imprimé Auteurs : Catriona Campbell, Auteur Mention d'édition : 1éd. Editeur : Francis :CRC Press Année de publication : 2022 Collection : Chapman & Hall/CRC Artificial Intelligence and Robotics Series Importance : 144p. Présentation : Couverture externe,tableaux,figures Format : 20X13cm ISBN/ISSN/EAN : 978-1-03-219666-4 Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm) Catégories : 4 Sciences sociales et humaines Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance. AI by Design : A Plan for Living with Artificial Intelligence [texte imprimé] / Catriona Campbell, Auteur . - 1éd. . - [S.l.] : Francis :CRC Press, 2022 . - 144p. : Couverture externe,tableaux,figures ; 20X13cm. - (Chapman & Hall/CRC Artificial Intelligence and Robotics Series) .
ISBN : 978-1-03-219666-4
Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm)
Catégories : 4 Sciences sociales et humaines Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance. Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 24/324592 L/006.055 Livre Bibliothèque Centrale indéterminé Exclu du prêt
Titre : AI for Diversity Type de document : texte imprimé Auteurs : Roger A. Soraa,, Auteur Editeur : Taylor & Francis Ltd Langues : Français (fre) Langues originales : Français (fre) Index. décimale : 006 Méthodes d'informatiques spéciales AI for Diversity [texte imprimé] / Roger A. Soraa,, Auteur . - [S.l.] : Taylor & Francis Ltd, [s.d.].
Langues : Français (fre) Langues originales : Français (fre)
Index. décimale : 006 Méthodes d'informatiques spéciales Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 24/324595 L/006.056 Livre Bibliothèque Centrale indéterminé Exclu du prêt
Titre : AI for Scientific Discovery Type de document : texte imprimé Auteurs : Janna Hastings, Auteur Mention d'édition : 1éd. Editeur : Francis :CRC Press Année de publication : 2023 Importance : 119P. Présentation : Couverture externe Format : 20X13cm ISBN/ISSN/EAN : 978-1-03-212484-1 Note générale : 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. Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm) Catégories : 4 Sciences sociales et humaines Mots-clés : SCIENTIFIC,CONCLUSION Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : 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. Note de contenu : 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.AI for Scientific Discovery [texte imprimé] / Janna Hastings, Auteur . - 1éd. . - [S.l.] : Francis :CRC Press, 2023 . - 119P. : Couverture externe ; 20X13cm.
ISBN : 978-1-03-212484-1
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.
Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm)
Catégories : 4 Sciences sociales et humaines Mots-clés : SCIENTIFIC,CONCLUSION Index. décimale : 006 Méthodes d'informatiques spéciales Résumé : 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. Note de contenu : 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.Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 24/324613 L/006.057 Livre Bibliothèque Centrale indéterminé Exclu du prêt
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