AI-Enabled Collaborative Distributed Computing in Networked UAVs by Bassem Mokhtar

“…Nowadays, the evolution of AI is noticed in supporting many life applications and manipulating different data types. …”
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Opportunities and Obstacles to Marketing Through AI: Theoretical study by Zakia Omer

“…Integrating artificial intelligence (AI) has profoundly transformed marketing, presenting significant opportunities and critical challenges. …”
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THE STRATEGIC ROLE OF GENERATIVE AI IN MANAGING COMPANY’S PROCESSES by Viorica Mirela ȘTEFAN-DUICU, Mihaela SUDACEVSCHI, Maria Zenovia GRIGORE

“…Generative AI technologies present a major potential in handling the company's business because it provides support on every operational level, being a strategic mechanism that facilitates adaptation to the innovative markets and resilient conditions.…”
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Interactive Panel Summaries of the 2024 Voice AI Symposium by Jean-Christophe Bélisle-Pipon, James Anibal, James Anibal, Ruth Bahr, Steven Bedrick, Oita Coleman, David Dorr, Barbara J. Evans, Guy Fagherazzi, Alexander Gelbard, Satrajit Ghosh, Anita Ho, Christie Jackson, Dale Joachim, Lampros Kourtis, Andrea Krussel, Amir Lahav, Breanna Leuze, Bob MacDonald, Geralyn Miller, Vivek Mohan, Matthew Naunheim, Maria Powell, Anaïs Rameau, Sat Ramphal, Vardit Ravitsky, Charlie Reavis, Samantha Salvi Cruz, Jamie Toghranegar, Adam Vogel, Stephanie Watts, Joseph Yracheta, Robin Zhao, The Bridge2AI-Voice Consortium, Yael Bensoussan, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean Christophe Belisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, Bill Hersh, Andrea Krussel, Steven Bedrick, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg

“…The 2024 Voice AI Symposium presented by the Bridge2AI-Voice Consortium, was a 2-day event which took place May 1st-May 2nd in Tampa, FL. …”
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The Evaluation of GenAI Capabilities to Implement Professional Tasks by Yaroslav Kouzminov, Ekaterina Kruchinskaia

“… Generative AI (GenAI) or large language models (LLMs) have been running the world since 2022, but despite all the trends surrounding the use of generative models, these cannot yet be used professionally. …”
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Geophysical Well Logging in the AI Era: Practices and Prospects by XIAO Lizhi

“…This article introduces the current state of AI applications in the oil and gas sector, analyzes their development trends, and presents preliminary progress in the exploration and research of AI application scenarios within the field of well logging. …”
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Interpretation of AI-Generated vs. Human-Made Images by Daniela Velásquez-Salamanca, Miguel Ángel Martín-Pascual, Celia Andreu-Sánchez

“…To this end, we presented 24 AI-generated images (produced using Midjourney, DALL·E, and Firefly) and 8 human-made images to 161 participants—71 visual professionals and 90 non-professionals. …”
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AI in Marketing Management: Executive Perspectives from Companies

“…The integration of artificial intelligence (AI) in marketing and business communication is transforming corporate strategies, offering significant opportunities while presenting notable challenges. …”
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Be AIware! An AI Competency Model for K-12 Education by Lana Sattelmaier, Jan Pawlowski

“…This paper presents the AIware Competency Model, a comprehensive framework of 98 AI-related competencies designed for K–12 education, including emerging aspects of GAI. …”
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Leveraging AI for enhanced cybersecurity: a comprehensive review by Thammisetty Swetha, U. Kumaran, V. P. Meena, Ibrahim A. Hameed

“…This study focuses on comprehensively examining current literature works dedicated to AI along with its applications in cybersecurity and presents an innovative architecture to deal with challenges that pose enormous risks to worlds community. …”
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THE ROLE OF AI APPLICATIONS IN ROMANIA’S BUSINESS AND ADMINISTRATION SECTORS by Liana Luminița BOCA, Carmen BOGHEAN

“…The study shows that the adoption of technologies based on artificial intelligence (AI) offers significant benefits over time even if it presents some notable challenges. …”
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High-Risk AI Systems—Lie Detection Application by Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, Charalampos Papapavlou, Dimosthenis Anagnostopoulos

“…For example, the emerging application of artificial intelligence for lie detection when inspecting passengers presents significant opportunities for future implementation. …”
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AI-Driven Chatbot for Real-Time News Automation by Fahim Sufi, Musleh Alsulami

“…The rapid expansion of digital news sources has necessitated intelligent systems capable of filtering, analyzing, and deriving meaningful insights from vast amounts of information in real time. This study presents an AI-driven chatbot designed for real-time news automation, integrating advanced natural language processing techniques, knowledge graphs, and generative AI models to improve news summarization and correlation analysis. …”
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AI ethics education: A systematic literature review by Lucas J. Wiese, Indira Patil, Daniel S. Schiff, Alejandra J. Magana

“…Drawing on an educational perspective, this paper presents a systematic literature review and qualitative analysis of the early years of AI ethics education as a formalized field to analyze whether its future trajectory is aligned with educational best practices. …”
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Deploying AI on Edge: Advancement and Challenges in Edge Intelligence by Tianyu Wang, Jinyang Guo, Bowen Zhang, Ge Yang, Dong Li

“…In recent years, artificial intelligence (AI) has achieved significant progress and remarkable advancements across various disciplines, including biology, computer science, and industry. …”
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A setup for live AI support in interventional radiology by Komposch Jan, Malzacher Till, Baumgärtner Timo, Braun Michael, Roßkopf Johannes, Franz Alfred M., Schmitz Bernd

“…However, this method has yet to be tested during a live intervention. In this work, we present a setup to integrate AI based support in an angiography suite. …”
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Utility of Certain AI Models in Climate-Induced Disasters by Ritusnata Mishra, Sanjeev Kumar, Himangshu Sarkar, Chandra Shekhar Prasad Ojha

“…As a result, multiple AI tools such as Random Forest (RF), Random Tree (RT), M5P (M5 model trees), M5Rules, Feed-Forward Neural Networks (FFNNs), Gradient Boosting Machine (GBM), Adaptive Boosting (AdaBoost), and Support Vector Machines kernel-based model (SVM-Pearson VII Universal Kernel, Radial Basis Function) are tested in the present study using various combinations of datasets. …”
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Hybrid AI and semiconductor approaches for power quality improvement by Ravikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, Tae Hoon Kim, Sivarama Prasad Tera, Shafiq Ahmad

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Lossy DICOM conversion may affect AI performance by Robin Sebastian Mayer, Fabian Fliedner, Ingvild Frøberg Mathisen, Anna Laib, Julia Bein, Marco Eichelberg, Peter J. Wild, Nadine Flinner

“…And already trained AI models showed significant performance differences between the image formats in five out of 64 scenarios, mainly when only little data was used during AI training. …”
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AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas, Xanthi Papageorgiou, Fransisco Garcia, Zinonas Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides

“…Additionally, explainable AI is applied to handle AI opaqueness. This study aims to present existing clinical approaches for infection assessment in terms of scoring systems and diagnostic biomarkers, along with their limitations, and an extensive overview of AI applications in healthcare and ICUs in terms of (a) sepsis detection/prediction and sepsis mortality prediction, (b) length of ICU/hospital stay prediction, and (c) ICU admission/hospitalization prediction after Emergency Department admission, each constituting an important factor towards either prompt interventions and improved patient wellbeing or efficient resource management. …”
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