Broadband Internet Research Articles

What Explains Inequalities in Telehealth Utilization Among North Carolina Medicaid Beneficiaries?

Background: Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics. Methods: Using North Carolina Medicaid claims data of Medicaid beneficiaries with BH or MSK conditions, we apply nonlinear regression-based decomposition analysis-based models developed by Kitagawa, Oaxaca, and Blinder to determine which observed variables are associated with racial, ethnic, and rural inequalities in telehealth usage. Results: In the BH cohort, we found statistically significant differences in telehealth usage by race in the adult population, and by race, Hispanic ethnicity, and rurality in the pediatric population. In the MSK cohort, we found significant inequities by Hispanic ethnicity and rurality among adults, and by race and rurality among children. Inequalities in telehealth use between groups were small, ranging from 0.7 percentage points between urban and rural adults with MSK conditions to 3.8 percentage points between white adults and people of color among those with BH conditions. Overall, we found that racial and ethnic inequalities in telehealth use are not well explained by the observed variables in our data. Rural disparities in telehealth use are better explained by observed variables, particularly area-level broadband internet use. Conclusions: For inequalities between rural and urban residents, our analysis provides observational evidence that infrastructure such as broadband internet access is an important driver of differences in telehealth use. For racial and ethnic inequalities, the pathways may be more complex and difficult to measure, particularly when relying on administrative data sources in place of more detailed data on individual-level socioeconomic factors.

Social and Structural Determinants of Health Associated with COVID-19 Vaccine Hesitancy among Older Adults in the United States.

State-level COVID-19 vaccination rates among older adults have been uneven in the United States. Due to the immunocompromised nature of older adults, vaccine hesitancy increases the risk of morbidity and mortality. This study aims to determine the association between the social determinants of health, the structural determinants of health, and COVID-19 vaccine hesitancy among older adults in the United States. Secondary data from the Health and Retirement Study (HRS) dataset were used. A descriptive analysis and multinomial multivariable logistic regression were performed to examine the association of the independent variables-gender, age, race, immigration status, marital status, broadband internet access, social security income, Medicare coverage, education, and frequency of religious service-with the dependent variable, vaccine hesitancy. Compared to the respondents with no vaccine hesitancy and without the specific predictor, the respondents who reported religious attendance at least once/week were more likely to be "somewhat hesitant", divorced respondents had higher odds of being "somewhat hesitant", and older adults aged 65-74 years were more likely to be "very hesitant" or "somewhat hesitant" about the COVID-19 vaccine. Compared to the respondents with no vaccine hesitancy and without the specific predictor, females had higher odds of being "very hesitant", "somewhat hesitant", or a "little hesitant", and African Americans were more likely to be "very hesitant", "somewhat hesitant", or a "little hesitant" about the COVID-19 vaccine. Addressing these factors may limit the barriers to vaccine uptake reported among older adults and improve herd immunity among the immunocompromised population.

SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks

The convergence of mobile edge computing (MEC) network with unmanned aerial vehicles (UAVs) presents an auspicious opportunity to revolutionize wireless communication and facilitate high-speed internet access in remote regions for mobile devices (MDs) as well as large scale artificial intelligence (AI) models. However, the substantial amount of data produced by the UAVs-assisted MEC network necessitates the integration of efficient distributed learning techniques in AI models. In recent times, distributed learning algorithms, including federated reinforcement learning (FRL) and split learning (SL), have been explored for the purpose of learning machine learning (ML) models that are distributed by sharing model parameters, as opposed to large raw data-sets as seen in traditional centralized learning algorithms. To implement the hybrid method, the model is first trained locally on each UAV-assisted MEC network using SL. Subsequently, the model parameters that have been encrypted are sent to a central server for federated averaging. Finally, after the model has been updated, it is distributed to each UAV-assisted MEC network for local fine-tuning. Our simulations indicate that the proposed split and federated reinforcement learning (SFRL) framework yields comparable high-test accuracy performance while consuming less energy compared to extant distributed learning algorithms. Furthermore, the SFRL algorithm efficiently realizes energy-efficient selection between the SL and FRL methods under different distributions. Numerical results shows that the proposed scheme improves the accuracy by 29.31% and reduced the energy consumption by around 67.34% and time delay by about 7.37%. as compared to the existing baseline schemes.

Awareness and Usage of E books Among Students of Panjab University, Chandigarh

The advancement of digital technologies has an impact on how information is disseminated and made accessible in the academic world. The use of digital resources has grown significantly, with e-books becoming a valuablemeducational resource. Panjab University library is spending a huge amount of money in terms of subscribing to a number of e resources to fulfill the information demand of faculty and students. PU library started subscribing to e-books from the year 2008 and presently a diverse collection of e-books from reputed publishers are available for the users. Since no such study has been conducted to examine the use and awareness of e-books, to determine level of relevance of e-books, subscribed by Panjab University, it is therefore imperative to investigate how Panjab University students use and are aware of their subscription to e-books. A total of 400 questionnaires were distributed using a simple random sampling method and 202 responses were received. This paper also explores the usage, relevance and the difficulties encountered while accessing e-books. For this purpose, an online survey was conducted amongst post graduate students and research scholars of Panjab University. Majority of the respondents73 (66.4 %) are accessing e-books through University Library website. 72 (62.6 %) of respondents express thatfriends and teachers helped them to know about availability of e-books in the library. Respondents encountere problems i.e. difficulties to login the sites, low speed of internet and restrictions in downloading etc. while accessing e-books. This study offers some useful and practical suggestions that can help libraries to enrich their e-book collections. The findings of the study will be helpful in developing e-book collection while keeping user needs in mind to enhance overall digital learning experience.

Transformational Changes in the Creative Sector under the Influence of Generative AI Technologies

Each time period of economic development is characterized by one or another key, central technology that links the technological structure together. In the 19th century, this technology became the use of steam engines, from the beginning of the 20th century – electricity and internal combustion engines, in the 90s – computerization and the emergence of network technologies, then – cellular communications and mobile broadband Internet, then – the emergence of social networks and social media. Now, according to the consensus opinion of industry experts, the function of such technology is performed by generative artificial intelligence, which emerged just a few years ago, but has already significantly changed many sectors of the economy. The article discusses the main aspects associated with the emergence of breakthrough technologies of generative artificial intelligence. The key factors that influenced the emergence of technological capabilities were studied, such as the growth of the computing capabilities of processors, a consistent increase in funding for innovative projects, and an increase in publication activity in this direction. Particular attention is paid to the characteristics of the value chain of generative artificial intelligence technologies. It is shown that hardware requirements are becoming higher, a previously non-existent stage of creating basic models appears, as well as a layer of companies adapting basic models to the tasks of business practice by learning from industry data. We have also shown that generative artificial intelligence technologies will have the greatest impact on the creative sector of the economy, since they allow us to significantly speed up and optimize processes at all stages of creating the value of a product, reducing the need for manual labor, but not replacing it completely.

Development of an online teaching platform to improve access to postgraduate pathology training in sub-Saharan Africa.

Resource barriers to the provision of accessible training in cancer diagnosis in lower- and middle-income countries (LMICs) limit the potential of African health systems. Long-term provision via teaching visits from senior pathologists and trainee foreign placements is unsustainable due to the prohibitive costs of travel and subsistence. Emerging eLearning methods would allow pathologists to be trained by experts in a cheaper, more efficient, and more scalable way. This study aimed to develop an online teaching platform, starting with hematopathology, for trainee pathologists in sub-Saharan Africa, initially in Nairobi, Kenya, and Lusaka, Zambia. Course materials were prepared for both Canvas and the Zoom eLearning platforms using digitally scanned slides of lymph nodes and bone marrow trephines. Initial in-person visits were made to each site to establish trainee rapport and maximize engagement, evaluate different methods and course content, and obtain feedback to develop the project. The knowledge of trainees before and after course completion was used to measure initial effectiveness. Online teaching with the preferred platform is to be continued for 1 year before re-evaluation for long-term effectiveness. Canvas was selected as the preferred delivery platform as it is freely available and has good functionality to support all required tasks. Face-to-face teaching was considered optimal to establish the initial rapport necessary to maximize subsequent engagement with online teaching. Challenges have included sub-optimal internet speeds and connections and scheduling issues. Weekly online hematopathology teaching sessions using live image capture microscope sessions, Zoom, and Canvas have been delivered to students in Kenya and Zambia, with good attendance and interaction in case discussions. Our team has successfully designed and delivered an online training program in hematopathology to trainee pathologists in Kenya and Zambia, which has been ongoing for over a year. This project is now being scaled to other sub-Saharan countries and other sub-specialties.

Broadband Internet access and health outcomes: Patient and provider responses in Medicare

High-speed internet has increased the amount of information available in health care markets. Online information may improve health outcomes if it reduces information frictions and helps patients choose higher quality providers or causes providers to improve quality. We examine how health outcomes for common procedures in Medicare changed after broadband internet rolled out across ZIP Codes from 1999 to 2008. Estimates imply that broadband expansion improved health outcomes by 5%. Broadband access primarily helped patients choose higher-quality providers; we also find some evidence that broadband improved provider quality. We use a structural model to decompose the improvements in patient outcomes over time. Counterfactual simulations imply that broadband roll-out was responsible for 16% of the improvement in outcomes by the end of the period.

Metaverse decline, growth in online videos increases: implications to libraries

Purpose This paper aims to explore the decline of the metaverse and the concurrent growth of online videos, examining their implications for libraries. It analyzes factors contributing to the metaverse decline, such as technical issues and privacy concerns, and explores the emergence and popularity of online video platforms. Design/methodology/approach This study applied the interpretive content/document analysis of literature harvested from different databases of Scopus, Web of Science and Directory of Open Access Journals. Given the shift in digital consumption patterns and their impact on libraries, the paper systematically reviews the literature to elucidate the changing landscape of digital engagement and its implications for library services and outreach efforts. Findings The paper identifies technical issues, privacy concerns and a lack of interoperability as key factors contributing to the decline of the metaverse. Conversely, the growth of online videos is driven by the emergence of platforms, increasing accessibility to high-speed internet and a diversification of content offerings. These trends reshape user preferences and behaviors, presenting both challenges and opportunities for libraries. Originality/value The decline of the metaverse and the rise of online videos underscore the importance of adaptation and innovation for libraries. To remain relevant in the digital age, libraries must transform their services to meet the demand for on-demand content and multimedia resources. The findings highlight the need for libraries to invest in digital literacy and media literacy programs, embrace emerging technologies and forge strategic partnerships with online video platforms. By adapting to changing trends and user preferences, libraries will continue to fulfill their mission of providing access to information and knowledge in the digital age.

Living in a Neighborhood With Limited Access to Broadband Internet Is Associated With Adverse Pregnancy Outcomes [ID 2683563

INTRODUCTION: The internet is an essential tool for ensuring health care access and delivery. We aimed to estimate the association between living in an area with limited broadband internet access and specific adverse pregnancy outcomes. METHODS: We performed an electronic health record-based retrospective cohort study of pregnant people who delivered at a referral medical center between September 1, 2019, and June 1, 2022. Primary outcomes were preterm birth, low birth weight (less than 2,500 g) and birth weight z-score for gestational age. Neighborhood internet access was defined as the proportion of residents with internet access in the pregnant person’s census tract of residence, based on the 2020 American Community Survey estimate and determined by geocoding. We used multivariable logistic or linear regression analysis to estimate the independent effect of internet access and computed adjusted odds ratios (aOR) or mean differences with 95% CIs for a 5-unit increase in the proportion with internet access for a given census tract. RESULTS: Among 5,190 pregnant people included, 885 (17.1%) had a preterm birth, 728 (14.0%) delivered a low-birth weight neonate, and 515 (9.9%) had a small-for-gestational age neonate. After adjusting for relevant confounders, increasing internet access was associated with reduced odds of preterm birth (aOR 0.97; 95% CI, 0.93–1.00; P=.048), reduced odds of low birth weight (aOR 0.95; 95% CI, 0.91–0.98), and increasing birth weight z-score (Beta 0.02; 95% CI, 0.01–0.03). CONCLUSION: Living in neighborhoods with better broadband internet coverage was associated with reduced odds of preterm birth, decreased odds of delivering a low-birth weight neonate, and increasing birth weight.

Design and analysis of SRR based metamaterial loaded circular patch multiband antenna for satellite applications

Satellite communication has reached a turning point in transmitting data quickly and receiving signals clearly in faraway places. This paper presents a metamaterial-based antenna for distant and military applications that overcomes restrictions and performs unmatched. This project explores metamaterials to create a unique antenna. Expect to be astounded by its power to bend electromagnetic waves, miniaturize, and change our relationship with the universe. The feeding mechanism of this antenna is a modified co-planar waveguide. At 5.6 GHz, the proposed antenna unit cell measures 0.076λ0×0.2λ0, making it small thanks to its MTM characteristic. CP radiation is made when two orthogonally polarized modes are stimulated at the same time and two composite right- and left-handed transmission line unit cells are placed orthogonally. Reduced size, increased bandwidth, and improved Learn how this discovery opens new doors for high-resolution photography, broadband internet, and space exploration. One nanostructure that makes up a metamaterial is the Split Ring Resonator (SRR). SRR dimensions must be smaller than the resonance wavelength, making them crucial for near-infrared and optical responses. This effort examined nanoscale SRR characteristics in the infrared and visible ranges. SRRs composed of aluminum (Al) and gold (Au) were produced on silicon and silica substrates using electron beam lithography (EBL). The proposed structure consists of a microstrip-line-supplied SRR, a parasitic patch that is perpendicular to the ground plane, and two via holes connected by two split rings that feed the patch indirectly. Choosing the right material parameter for all such antennas depends on the planned structure. Fabrication and testing of the antenna matched simulations. Dimensions: 23.7 mm × 16.2 mm × 1.6 mm; substrate dielectric constant: 4.4. Experimental data are detailed and compared to analytical calculations. Simulation results show that metamaterials have negative permittivity and permeability in a certain frequency range, which can be predicted by an analytical method. Simulations indicated eight BRS, WiMAX, radar, and mobile phone resonance frequencies. Radiation is dipole-like in the omnidirectional in the H-plane and E-plane. 10 dB return loss and 3 dB axial ratio bandwidths are 38.6.7% and 8.1%, respectively.

A Study of Microsoft Challenges and Opportunities of Managing a Hybrid Workforce

The outbreak of COVID-19 generated challenges for both employers and employees over a broad spectrum of industries. People were recommended to observe social distancing and lockdowns and/or curfews for non-essential businesses were implemented. This global situation catalyzed process innovation and a transition from traditional work settings, specifically on-site work, to a remote work setting where employees use online communication requiring homes with computers and high-speed internet. thesis explores how work settings changed due to the pandemic, how different work settings affect work-related collaborations which is a cornerstone in the innovation process, but also to investigate differences amongst personality traits in various work settings. The research presented herein is based on a quantitative survey of 156 respondents from a multitude of industries including several countries. The survey was designed using the Likert scale to capture how respondents perceived various aspects of collaboration before, during, and after the COVID-19 pandemic. In addition to respondent’s perceptions, relevant demographic information was collected. The survey results were analyzed using descriptive statistics, CFA, SEM analysis, and statistical tests. Differences between work settings were found regarding certain aspects of collaboration. The most notable was that informal collaboration was limited when working from home. The most important aspects of collaboration are to be able to trust collaborative partners and feel mutual respect. Employers need to develop digital communication tools and collaboration practices when adopting a hybrid workplace. Informal interactions are an important aspect of collaboration, and these interactions are limited when working from home.

The welfare effects of mobile broadband internet: Evidence from Nigeria

This paper estimates the impacts of mobile broadband coverage on household welfare in Nigeria. The analysis exploits a unique data set that integrates a longitudinal household survey with information from Nigerian mobile operators on the deployment of mobile broadband internet between 2010 and 2016. Overall, estimates show that mobile broadband coverage had large and positive impacts on household consumption thereby reducing poverty significantly. This effect is if anything stronger among poorer households. Labor force participation explains a big part of this welfare-enhancing effect.

Statistical Measurement of Zhuhai's Digital Economy Development Level Based on Entropy Method

Against the backdrop of the increasing popularity of mobile internet and the expanding commercialization of fifth-generation mobile communications (5G), the digital economy is booming with continuous innovations and integrations of internet technologies such as artificial intelligence, blockchain, cloud computing, and big data. As one of the special economic zones, Zhuhai has emphasized in its work report the need to "vigorously develop the digital economy." Based on panel data from Zhuhai and its surrounding cities from 2018 to 2022, this paper empirically measures the level of digital economic development in Zhuhai and conducts a deep analysis of its development from the perspective of temporal characteristics. The research results indicate that: (1) Among various evaluation indicators of the digital economy, the output value of the communication and other electronic equipment manufacturing industries (in tens of thousands of yuan) has the greatest impact on the development of the digital economy, followed by the total volume of telecommunications business (in tens of thousands of yuan). The number of internet broadband users (in tens of thousands of households) and FTTH/O fiber-optic access users (in tens of thousands of households) have relatively smaller impacts. (2) In terms of temporal characteristics, the annual growth rate of Zhuhai's digital economy exhibits a steady decline, which differs from that of surrounding cities. (3) Regarding spatial characteristics, the development of the digital economy is highly unbalanced among different cities in Guangdong, and there is still a significant gap between Zhuhai and its surrounding cities. Based on the measurement results, countermeasures and suggestions are proposed to enhance the digital economic development in Zhuhai.

Prospects for a Megacity Region Transition in Australia: A Preliminary Examination of Transport and Communication Drivers

Australian governments continue to search for a model capable of planning future urban settlements at an extended spatial scale (the mega-metropolitan region) to accommodate high population growth more sustainably. Attempts at decentralisation over the past half century have failed, as state capital cities continue to sprawl in an unsustainable manner and increase their primacy at the expense of regional cities. This paper examines how two technologies, broadband and fast rail—both infrastructures capable of re-shaping space–time relationships—could underpin a transition of Australia’s largest capital cities into megacity regions by functionally integrating regional cities into their core metropolitan agglomerations. With the Melbourne megacity region as a spatial framework, changes in population and economic development are examined for Melbourne and several regional cities in Victoria following the introduction of regional fast rail (RFR) and broadband. The impact of high-speed rail (HSR) for intercity corridors in southeast England is analysed as a possible analogue for future application in Victoria. The results revealed that RFR primarily served to extend capital city suburban development. Only HSR had the capacity to ‘punch through’ and boost growth for ‘basic’ new economy industries in ‘on-line’ urban centres in corridors linked to London. High-speed broadband proved most attractive to Melbourne’s agglomeration of high-skilled information workers. Lower speed broadband services were more uniformly taken up across all centres. This discussion speculates on the impacts of these and other green economy and digitalisation drivers on prospects for a future megacity region transition in Victoria.

Computerized clinical decision support to improve stroke prevention therapy in primary care management of atrial fibrillation: a cluster randomized trial

Despite guidelines supporting antithrombotic therapy use in atrial fibrillation (AF), under-prescribing persists. We assessed whether computerized clinical decision support (CDS) would enable guideline-based antithrombotic therapy for AF patients in primary care. This cluster randomized trial of CDS versus usual care (UC) recruited participants from primary care practices across Nova Scotia, following them for 12 months. The CDS tool calculated bleeding and stroke risk scores and provided recommendations for using oral anticoagulants (OAC) per Canadian guidelines. From June 14, 2014 to December 15, 2016, 203 primary care providers (99 UC, 104 CDS) with access to high-speed Internet were recruited, enrolling 1,145 eligible patients (543 UC, 590 CDS) assigned to the same treatment arm as their provider. Patient mean age was 72.3 years; most were male (350, 64.5% UC, 351, 59.5% CDS) and from a rural area (298, 54.9% UC, 315, 53.4% CDS). At baseline, a higher than anticipated proportion of patients were receiving guideline-based OAC therapy (373, 68.7% UC, 442, 74.9% CDS; relative risk [RR] 0.97 (95% confidence interval [CI], 0.87-1.07; P = .511)). At 12 months, prescription data were available for 538 usual care and 570 CDS patients, and significantly more CDS patients were managed according to guidelines (415, 77.1% UC, 479, 84.0% CDS; RR 1.08 (95% CI, 1.01-1.15; P = .024)). Notwithstanding high baseline rates, primary care provider access to the CDS over 12 months further optimized the prescribing of OAC therapy per national guidelines to AF patients potentially eligible to receive it. This suggests that CDS can be effective in improving clinical process of care. Clinical Trials NCT01927367. https://clinicaltrials.gov/ct2/show/NCT01927367?term=NCT01927367&draw=2&rank=1.

Some operations on intuitionistic fuzzy graphs via novel versions of the Sombor index for internet routing

Topological indices (TIs) are numerical structures that are associated with a graph to identify its topology. TIs are highly popular in the literature with a wide range of applications from chemistry to economics. However, TIs have limitations in representating complex relations within the graphs creating some uncertainities. Fuzzy graph (FG) and intuitionistic fuzzy graph (IFG) are introduced to overcome these uncertainities. While a FG a describes degree of membership of an object in a graph, IFG delineate information on membership or nonmembership under uncertainity. This study aims to introduce novel TIs such as the general second Zagreb index, the Sombor index of the third version, and the Sombor index of the fourth version in the IFG framework in order to improve practicality of FG and IFG applications. Some properties of the proposed indices and their upper bounds are provided as well. Proposed TIs are applied to an internet routing network as a case study. Results of the study show that adding more internet routers in the network can increase internet speed and the strength of the entire system. Finally, comparative studies for the Sombor index of the third version and the Sombor index of the fourth version are also revealed.

The effect of digital transformation on the productivity of business enterprises in South Africa

As digital technologies continue to shape the economy, countries are faced with increasing scrutiny in the use of digital transformation to aid productivity and improve performance. In South Africa, the COVID-19 pandemic accelerated Small and medium-sized businesses’ (SMEs’) uptake of digital technologies, as many businesses had to shift their operations online and adopt new digital tools and technologies to solve the challenges posed by the pandemic. This has led to an increased focus on digital transformation mechanisms among South African firms. Therefore, the study examines the effect of digital transformation on the productivity of firms using cross-sectional data from the World Bank Enterprise Survey (WBES) (2020). The survey was based on firms and is a representative sample of the private sector in the South African economy and covers a wide variety of business environment themes, such as infrastructure, competitiveness, access to finance, and performance indicators. We found that digital transformation improved productivity of South African firms. Furthermore, empirical findings are reassuring robust to the IV-2SLS and quantile regression model, size of business, sectoral and provincial analysis. Finally, we recommend that policy makers should develop and implement initiatives to improve digital infrastructure, including high-speed internet access and reliable connectivity, especially in rural and underserved areas.

An intelligent mechanism for dynamic spectrum sharing in 5G IoT networks

Amid the rapid advancement of wireless network technologies, the forthcoming ubiquity of the Internet of Things (IoT) necessitates the development of sophisticated architectural frameworks and algorithms capable of handling the associated spectrum management complexities. This study proposes an innovative Mobile Broadband Internet of Things (MBIN) architecture, designed to facilitate efficient progression of the impending IoT revolution. The centerpiece of this architecture is a ground-breaking Advanced Cloud-Enabled Double Auction (ACEDA) algorithm. Deployed within the MBIN framework, this mechanism optimizes the sharing of spectrum resources, thereby enhancing the performance of the IoT structure. Theoretical grounding, algorithmic implementation, simulation results, and user satisfaction analysis are discussed in-depth to validate the efficacy of this approach.

An unexpected digital divide? A look at internet speeds and socioeconomic groups

As societies and economies continue to digitize, the need to understand the digital divide beyond binary availability or adoption metrics is increasing. Understanding the quality and performance of home internet—measured by internet speeds—among different socioeconomic groups contributes to the complex digital equity landscape at a time when all U.S. states and territories are completing digital equity plans. Using 2021 speed test data from Ookla, this study conducts spatial regressions at the census tract level to find that most of the sociodemographic factors associated with lower home internet adoption rates (e.g., rural, poor, older) remain when looking at actual internet speeds. However, an unexpected finding—supported by emerging research—that White non-Hispanic residents are using the internet at slower speeds compared to the two largest minority groups of Blacks and Hispanics suggests a need to potentially reassess the design of digital equity programs and policy interventions.

Home Automation Using AI and IoT

The IoT network's massive data flows and storage can be easily managed with AI. IoT is currently growing more and more popular because to the development of high-speed internet networks and several cutting-edge sensors that can be incorporated into microcontrollers. The data that is now flowing across the internet includes user data that is sent and received from workstations as well as sensor data. Fewer data may really be experiencing challenges on the storage side, latency, channels limitation, and suffocation inside the networks due to the increase in the number of workstations and numerous sensors. Over the past ten years, several algorithms have been presented to prevent these issues. AI is still the only algorithm that can manage and regulate network congestion in addition to mining information. This paper's purpose is to demonstrate how an AI system is being used in the Internet of Things. The study emphasizes the significance of information management and mining. Additionally, the approach used in synthetic intelligence, such as fuzzy logics or neural networks, will be examined in this study in relation to IoT network. The software in specified networks and self-modifying networks are some of the essential parameters in the AI IoT system.