A Survey on Integration of Empathy Cues Into Empathetic Text Generation by Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Jorge Adolfo Ramirez Uresti, Miguel Gonzalez Mendoza, Randy Gomez

Subjects: “…Affective computing…”
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Two-qubit gate protocols with microwave-dressed Rydberg ions in a linear Paul trap by Joseph W P Wilkinson, Katrin Bolsmann, Thiago L M Guedes, Markus Müller, Igor Lesanovsky

Subjects: “…quantum information processing…”
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Quantum Zeno Monte Carlo for computing observables by Mancheon Han, Hyowon Park, Sangkook Choi

“…Abstract The recent development of logical quantum processors marks a pivotal transition from the noisy intermediate-scale quantum (NISQ) era to the fault-tolerant quantum computing (FTQC) era. …”
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Ornstein–Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines by Jesús García Fernández, Nasir Ahmad, Marcel van Gerven

Subjects: “…Ornstein–Uhlenbeck process…”
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Peculiarities of Modeling a Specialized Computing System by G. A. Zvonareva, D. S. Buzunov

“…When developing distributed computing systems with parallel data processing, there is a problem of assessing the impact of workload values and structure on its performance indexes. …”
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The Great Chains of Computing: Informatics at Multiple Scales by Kevin Kirby, James Walden, Rudy Garns, Maureen Doyle

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Advanced computing to support urban climate neutrality by Gregor Papa, Rok Hribar, Gašper Petelin, Vida Vukašinović

“…Central to this are recent advances in artificial intelligence, particularly machine learning, which offer enhanced capabilities for analyzing and processing large, heterogeneous urban data. By integrating these computational tools, cities can develop and optimize complex models that enable real-time, data-driven decisions. …”
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Face Mask Detection at the Fog Computing Gateway by Srinivasa Raju Rudraraju, Nagender Kumar Suryadevara, Atul Negi

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The Fog Computing Paradigm: Scenarios and Security Issues by Ivan Stojmenovic, Sheng Wen

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An Edge Computing Collaboration Solution for Internet of Vehicles by Vu Khanh Quy, Dang Van Anh, Vi Hoai Nam, Nguyen Minh Quy, Anh-Ngoc Le

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Considerations of Cloud Computing Contracts at the Conclusion Stage by Mohammadali Hasanian, Esmaeil Shahsavandi, Amirabbas Bozorgmehr

“…As a result, cloud computing is a model for providing services in information technology, which allows storing and processing information in It provides internet platform or private networks. …”
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Editorial: Artificial Intelligence and Cybersecurity in Pervasive Computing by Ji-Jian Chin

“…This issue features seven articles on these intersections, including four AI articles exploring natural language processing and computer vision, and three cybersecurity articles covering cryptography, medical devices, and maritime security.…”
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REVIEW ON FOG COMPUTING – APPLICATIONS, SECURITY, AND SOLUTIONS by Varun Varma Sangaraju, SV Achuta Rao, Amjan Shaik, Prasuna VG, Nagaraju P B S.R.K.R.

“…A distributed computing model known as fog computing lies near the user for efficient data processing and analysis. …”
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Survey on edge computing technology for autonomous driving by Pin LYU, Jia XU, Taoshen LI, Wenbiao XU

“…Edge computing plays an extremely important role in the environment perception and data processing of autonomous driving.Autonomous driving vehicles can expand their perception scope by obtaining environmental information from edge nodes, and can also deal with the problem of insufficient computing resources by offloading tasks to edge nodes.Compared with cloud computing, edge computing avoids high latency caused by long-distance data transmission, and provides autonomous driving vehicles with faster responses, and relieves the traffic load of the backbone network.Firstly, the edge computing-based cooperative perception and task offloading technologies for autonomous vehicles were introduced firstly, and related challenging issues were also proposed.Then the state-of-the-art of cooperative perception and task offloading technologies were analyzed and summarized.Finally, the problems need to be further studied in this field were discussed.…”
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Practical few-atom quantum reservoir computing by Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh

“…We demonstrate that the quantum reservoir outperforms traditional classical reservoir computing in both memory retention and nonlinear data processing through two tasks, namely, the prediction of time-series data using the Mackey-Glass task and the classification of sine-square waveforms. …”
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The Opportunities and Challenges in Integrating AI with Quantum Computing by Tomasz Słapczyński, Marlena Stradomska

“… The convergence of Artificial Intelligence (AI) and Quantum Computing (QC) marks a potentially transformative technological frontier. …”
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Fast Optical Switching for Computing-Power Interconnects by YIN Lin, WANG Fu, WANG Xiaolong, GUO Wenkui, ZONG Yichen

“…On the one hand, high density, low-latency processing and computing resource scheduling are required within the AIDC to meet large-scale real-time training and reasoning. …”
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Massive Crowd Simulation With Parallel Computing on GPU by Vincenzo Lombardo, Davide Gadia, Dario Maggiorini

“…Traditional approaches to crowd simulation rely on heavy Central Processing Unit (CPU) computation. This approach has limitations in terms of scalability and performance, which are solvable with the use of Graphics Programming Units (GPUs) and parallel computing techniques. …”
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On the Lanczos Method for Computing Some Matrix Functions by Ying Gu, Hari Mohan Srivastava, Xiaolan Liu

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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…The suggested technique demonstrates promising potential for practical applications in the field of multi-lingual voice processing.…”
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