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Showing 20 of 1,036 academic articles
Mamoun Alazab, Swarna Priya Ramu, M. Parimala, Praveen Kumar Reddy Maddikunta et al. • IEEE Transactions on Industrial Informatics
(2021)
Federated learning (FL) is a recent development in artificial intelligence, which is typically based on the concept of decentralized data. As cyberattacks are frequently happening in the various applications deployed in real time, most indu...
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DOI: https://doi.org/10.1109/tii.2021.3119038
• The MIT Press eBooks
(2018)
Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives. Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existi...
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DOI: https://doi.org/10.7551/mitpress/11636.001.0001
Tim Stevens • Digital War
(2020)
Abstract Cybersecurity protects citizens and society from harm perpetrated through computer networks. Its task is made ever more complex by the diversity of actors—criminals, spies, militaries, hacktivists, firms—operating in global informa...
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DOI: https://doi.org/10.1057/s42984-020-00007-w
Aaron Ezroj • Routledge eBooks
(2026)
Cybersecurity professionals should stay current on developments with whistleblowing systems. Countries have rapidly moved to enact laws aimed at protecting critical infrastructure. They have also been moving to protect personal privacy. The...
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DOI: https://doi.org/10.4324/9781003589587-8
Elias Dritsas, Μαρία Τρίγκα • Future Internet
(2025)
The proliferation of the Internet of Things (IoT) has transformed the digital landscape, enabling a vast array of interconnected devices to communicate and share data seamlessly. However, the rapid expansion of IoT networks has also introdu...
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DOI: https://doi.org/10.3390/fi17010030
Samuel Greengard • Communications of the ACM
(2016)
Researchers aim to apply artificial intelligence and machine-learning methods to take cybersecurity to a new, higher, and better level....
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DOI: https://doi.org/10.1145/2898969
Priyanka Mahesh, Akash Tiwari, Chenglu Jin, P. R. Kumar et al. • Proceedings of the IEEE
(2020)
The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of addi...
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DOI: https://doi.org/10.1109/jproc.2020.3032074
Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi et al. • International Conference on Information Systems Security and Privacy (ICISSP)
(2025)
The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across divers...
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DOI: https://doi.org/10.5220/0013377600003899
Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, Nikhitha Yathiraju • IJARCCE
(2022)
Artificial intelligence is opening up new avenues for value generation in enterprises, industries, communities, and society as a whole.Technology has been researched to be relevant in many aspects of the world.This factor has made it to be ...
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DOI: https://doi.org/10.17148/ijarcce.2022.11912
Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri et al. • Sensors
(2023)
This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant...
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DOI: https://doi.org/10.3390/s23156666
PMC: 10422504
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Barbara J. Grosz • Artificial Intelligence
(1982)
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DOI: https://doi.org/10.1016/0004-3702(82)90032-7
Diane J. Litman • Proceedings of the AAAI Conference on Artificial Intelligence
(2016)
Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the ne...
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Open Access
DOI: https://doi.org/10.1609/aaai.v30i1.9879
Mallory Selfridge • Artificial Intelligence in Engineering
(1987)
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DOI: https://doi.org/10.1016/0954-1810(87)90076-8
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
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Open Access
DOI: https://doi.org/10.55041/ijsrem27094
Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...
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Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33017322
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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DOI: https://doi.org/10.1162/coli_r_00312
James D. Pustejovsky, Branimir Boguraev • Artificial Intelligence
(1993)
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DOI: https://doi.org/10.1016/0004-3702(93)90017-6
Barry Walsh • Apress eBooks
(2022)
Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to be $43b in 2025. Ostensibly the branch of AI concerned with programming computers to underst...
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DOI: https://doi.org/10.1007/978-1-4842-8817-7_10
Santanu Pattanayak • Apress eBooks
(2022)
In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...
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DOI: https://doi.org/10.1007/978-1-4842-8931-0_4