THE BODY OF «GENERAL AI» AS AN ONTO-SOCIAL VERIFIER by Станіслав БЕСКАРАВАЙНИЙ

“…And the body of general AI, as a subject, is that part of the technosphere which it sets goals and correlates with reality better than other subjects; The dynamic nature of the corporeality of general AI has been established: in the context of the rapid development of artificial intelligence capabilities, it is necessary to constantly improve your body and deepen its reflection for use as a verifier in both senses; It has been established that the body of general AI, upon achieving a balance of ontological and social verification, can be an instrument for removing the contradiction between AI, as an individual, and AI, as a subject. …”
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Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks by Peisheng Yang, Xiaohua Xu, Meilan Shao, Yewei Liu

“…This study introduces an innovative artificial intelligence approach based on knowledge graphs and graph neural networks. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…A long-term goal of Artificial Intelligence (AI) is to provide machines with the capability of understanding natural language. …”
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Detection to false data for smart grid by Jian Zheng, Shumiao Ren, Jingyue Zhang, Yu Kui, Jingyi Li, Qin Jiang, Shiyan Wang

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Multimodal, transmedial, and trans-European perspectives for online language teaching and learning: II YUFE – Ukraine seminar by Joanna Winska, Iryna Shevchenko

“…These tools include digital technologies such as H5P, ChatGPT, augmented reality, artificial intelligence, as well as innovative pedagogical approaches like project-based learning and design thinking. …”
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…In addition, this study is the first to use interpretable artificial intelligence to provide feedback for teaching and learning Wushu. …”
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Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool by Maria Galanty, Dieuwertje Luitse, Sijm H. Noteboom, Philip Croon, Alexander P. Vlaar, Thomas Poell, Clara I. Sanchez, Tobias Blanke, Ivana Išgum

“…Abstract Medical datasets are vital for advancing Artificial Intelligence (AI) in healthcare. Yet biases in these datasets on which deep-learning models are trained can compromise reliability. …”
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Electromagnetic signal modulation recognition technology based on lightweight deep neural network by Sicheng ZHANG, Yun LIN, Ya TU, Shiwen Mao

“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6～6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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Results comparison of cervical cancer early detection using cerviray ® with VIA test by Ali Budi Harsono, Hadi Susiarno, Dodi Suardi, Kemala Isnainiasih Mantilidewi, Viko Duvadilan Wibowo, Yudi Mulyana Hidayat

“…Abstract Objectives This study investigates the performance of artificial intelligence (AI) technology, namely Cerviray AI®, compared with Cerviray® expert, aiming to compare its sensitivity, specificity, positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC ROC). …”
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Effect of selected formal and legal factors on the quality of life of individuals with limited mobility. Study findings by Katarzyna Jaworska, Jakub Jan Zięty, Michał Krzykowski

“…It is of particular importance to clearly regulate the responsibility for damage caused by an action (a felony) taken by artificial intelligence in the Polish legal system, especially the rules on which it should be based – fault, risk, or fairness. …”
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The data-intensive research paradigm: challenges and responses in clinical professional graduate education by Chunhong Yang, Yijing Chen, Changshun Qian, Fangmin Shi, Fangmin Shi, You Guo, You Guo, You Guo, You Guo, You Guo

“…With the widespread application of big data, artificial intelligence, and machine learning technologies in the medical field, a new paradigm of data-intensive clinical research is emerging as a key force driving medical advancement. …”
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Computational measurement and task scheduling: a study on IoT edge device strategies by ZHU Shuqiong, XU Qingqing, LI Xiaotao, CHEN Wei

“…The rapid advancement of mobile communications and artificial intelligence has catalyzed an exponential increase in intelligent devices and data generation. …”
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Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM by Igor Peško, Vladimir Mučenski, Miloš Šešlija, Nebojša Radović, Aleksandra Vujkov, Dragana Bibić, Milena Krklješ

“…The paper presents a research of precision that can be achieved while using artificial intelligence for estimation of cost and duration in construction projects. …”
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Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation by Hao Yin, Zhiyong Wu, Hai He

“…An Explainable Artificial Intelligence framework was then applied to assess the influence of these local-scale factors on the Standardized Precipitation Index (SPI3) at the grid scale. …”
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Neural-field-based image reconstruction for bioluminescence tomography by Xuanxuan Zhang, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang

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Plant and marine-derived natural products: sustainable pathways for future drug discovery and therapeutic development by Muhammad Ahmad, Muhammad Ahmad, Maleha Tahir, Zibin Hong, Muhammad Anjum Zia, Hamza Rafeeq, Muhammad Shaheez Ahmad, Saif ur Rehman, Junming Sun

“…Future perspectives will highlight the role of responsible innovation, artificial intelligence, and machine learning in advancing drug discovery, underscoring the importance of continued research to meet global health needs.…”
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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. …”
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Controlling tangential flow filtration in biomanufacturing processes via machine learning: A literature review by Bastian Oetomo, Ling Luo, Yiran Qu, Michele Discepola, Sandra E. Kentish, Sally L. Gras

“…With the rapid growth of the biopharmaceutical sector in recent years, in conjunction with many recent successful developments in machine learning and artificial intelligence, the demand for the sector to shift to Industry 4.0 has emerged. …”
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ChatGPT-4o can serve as the second rater for data extraction in systematic reviews. by Mette Motzfeldt Jensen, Mathias Brix Danielsen, Johannes Riis, Karoline Assifuah Kristjansen, Stig Andersen, Yoshiro Okubo, Martin Grønbech Jørgensen

“…Yet, they are time-consuming. Artificial intelligence (AI), like ChatGPT-4o, may streamline processes of data extraction, but its efficacy requires validation.…”
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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

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