Next Generation AI Language Models in Research
Promising Perspectives and Valid Concerns
Herausgeber: Qureshi, Kashif Naseer; Jeon, Gwanggil
Next Generation AI Language Models in Research
Promising Perspectives and Valid Concerns
Herausgeber: Qureshi, Kashif Naseer; Jeon, Gwanggil
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.
Andere Kunden interessierten sich auch für
- John Atkinson-AbutridyText Analytics168,99 €
- AI Based Advancements in Biometrics and its Applications189,99 €
- Artificial Intelligence and Machine Learning for Smart Community134,99 €
- Shahab D MohagheghArtificial Intelligence for Science and Engineering Applications110,99 €
- Blockchain for Healthcare 4.0134,99 €
- Federated Learning for Smart Communication using IoT Application212,99 €
- Internet of Things and Big Data Analytics-Based Manufacturing145,99 €
-
-
-
In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 332
- Erscheinungstermin: 13. November 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 667g
- ISBN-13: 9781032667935
- ISBN-10: 1032667931
- Artikelnr.: 70771979
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 332
- Erscheinungstermin: 13. November 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 667g
- ISBN-13: 9781032667935
- ISBN-10: 1032667931
- Artikelnr.: 70771979
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Prof. Kashif Naseer Qureshi is an associate professor in Cybersecurity in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. He received a PhD. degree from the University of Technology Malaysia (UTM) in 2016. He is the co-principal investigator in Cyber Reconnaissance and Combat project in the higher education commission. His research interest focuses on the Internet of Everything (IoE), Internet of connected Vehicles (IoV), Electronic Vehicles charging management planning and recommendation (EV), and Internet of Things (IoT) use cases implementation in wireless and wired networks and cybersecurity. His research interest includes many topics under the general areas of cyber security, wireless networks, security perspectives for IoE and IoT networks, privacy-preserving data aggregation, computer forensics, and cloud security. His name listed in the top 2% of scientists for three consecutive years from Stanford University, USA. He has published various high-impact factor papers in international journals and conference proceedings and served on several conferences IPCs and journal editorial boards. He has five books related to cybersecurity and AI fields. He has completed various projects related to routing and cyber-security domains in the UK, China, Ireland, Malaysia, and Pakistan. Prof. Gwanggil Jeon received BS, MS, and PhD (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively.From September 2009 to August 2011, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa,ON, Canada, as a post-doctoral fellow. From September 2011 to February 2012, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an assistant professor. From December 2014 to February 2015 and June 2015 to July 2015, he was a visiting scholar at Centre de Mathematiques et Leurs Applications (CMLA), Ecole Normale Superieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a prestigious visiting professor at Dipartimento di Informatica, Universita degli Studi di Milano Statale, Italy. He is currently a full professor at Incheon National University, Incheon, Korea. He was a visiting professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand, and the University of Burgundy, Dijon, France. Dr. Jeon is an IEEE senior member, and associate editor of Sustainable Cities and Society, IEEE Access , Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and the industry-Academic Merit Award by the Ministry of SMEs and Startups of Korea Minister in 2020.
1. Introduction and History of Language Models in Research 2. The
Advantages of Artificial Intelligence in Research 3. AI Models and Data
Analytics: Transforming Research Methods 4. Advanced AI-Based Healthcare
Systems Applications and Services 5. AI Models in Environmental Social
Science Research: Leveraging Technology for Sustainable Solutions 6.
Artificial Intelligence in Natural Science Research: Innovations and
Limitations 7. AI Models and Ethical Considerations in Research 8. AI
Models and Applications of AI Models 9. The Role of Human Expertise in
AI-Aided Research 10. Limitations and Challenges of Language Models in
Research 11. Ethical Implications of Language Models 12. Security and
Privacy Concerns in AI Models
Advantages of Artificial Intelligence in Research 3. AI Models and Data
Analytics: Transforming Research Methods 4. Advanced AI-Based Healthcare
Systems Applications and Services 5. AI Models in Environmental Social
Science Research: Leveraging Technology for Sustainable Solutions 6.
Artificial Intelligence in Natural Science Research: Innovations and
Limitations 7. AI Models and Ethical Considerations in Research 8. AI
Models and Applications of AI Models 9. The Role of Human Expertise in
AI-Aided Research 10. Limitations and Challenges of Language Models in
Research 11. Ethical Implications of Language Models 12. Security and
Privacy Concerns in AI Models
1. Introduction and History of Language Models in Research 2. The
Advantages of Artificial Intelligence in Research 3. AI Models and Data
Analytics: Transforming Research Methods 4. Advanced AI-Based Healthcare
Systems Applications and Services 5. AI Models in Environmental Social
Science Research: Leveraging Technology for Sustainable Solutions 6.
Artificial Intelligence in Natural Science Research: Innovations and
Limitations 7. AI Models and Ethical Considerations in Research 8. AI
Models and Applications of AI Models 9. The Role of Human Expertise in
AI-Aided Research 10. Limitations and Challenges of Language Models in
Research 11. Ethical Implications of Language Models 12. Security and
Privacy Concerns in AI Models
Advantages of Artificial Intelligence in Research 3. AI Models and Data
Analytics: Transforming Research Methods 4. Advanced AI-Based Healthcare
Systems Applications and Services 5. AI Models in Environmental Social
Science Research: Leveraging Technology for Sustainable Solutions 6.
Artificial Intelligence in Natural Science Research: Innovations and
Limitations 7. AI Models and Ethical Considerations in Research 8. AI
Models and Applications of AI Models 9. The Role of Human Expertise in
AI-Aided Research 10. Limitations and Challenges of Language Models in
Research 11. Ethical Implications of Language Models 12. Security and
Privacy Concerns in AI Models