Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023最新文献

LLM-Cloud Complete: Leveraging Cloud Computing for Efficient Large Language Model-based Code Completion LLM-Cloud Complete：利用云计算实现基于大型语言模型的高效代码完成

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-08-08 DOI: 10.60087/jaigs.v5i1.200

Mingxuan Zhang, Bo Yuan, Hanzhe Li, Kangming Xu

{"title":"LLM-Cloud Complete: Leveraging Cloud Computing for Efficient Large Language Model-based Code Completion","authors":"Mingxuan Zhang, Bo Yuan, Hanzhe Li, Kangming Xu","doi":"10.60087/jaigs.v5i1.200","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.200","url":null,"abstract":"This paper introduces LLM-CloudComplete, a novel cloud-based system for efficient and scalable code completion leveraging large language models (LLMs). We address the challenges of deploying LLMs for real-time code completion by implementing a distributed inference architecture, adaptive resource allocation, and multi-level caching mechanisms. Our system utilizes a pipeline parallelism technique to distribute LLM layers across multiple GPU nodes, achieving near-linear scaling in throughput. We propose an adaptive resource allocation algorithm using reinforcement learning to optimize GPU utilization under varying workloads. A similarity-based retrieval mechanism is implemented within a three-tier caching system to reduce computational load and improve response times. \u0000Additionally, we introduce several latency reduction strategies, including predictive prefetching, incremental completion generation, and sparse attention optimization. Extensive evaluations on diverse programming languages demonstrate that LLM-CloudComplete outperforms existing state-of-the-art code completion systems, achieving a 7.4% improvement in Exact Match accuracy while reducing latency by 76.2% and increasing throughput by 320%. Our ablation studies reveal the significant contributions of each system component to overall performance. LLM-CloudComplete represents a substantial advancement in cloud-based AI-assisted software development, paving the way for more efficient and responsive coding tools. We discuss limitations and future research directions, including privacy-preserving techniques and adaptability to diverse programming paradigms.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"11 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role of Artificial Intelligence and Big Data in Sustainable Entrepreneurship 人工智能和大数据在可持续创业中的作用

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-24 DOI: 10.60087/jaigs.v5i1.199

Rula Abu Shanab

{"title":"Role of Artificial Intelligence and Big Data in Sustainable Entrepreneurship","authors":"Rula Abu Shanab","doi":"10.60087/jaigs.v5i1.199","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.199","url":null,"abstract":"There is a pressing necessity to shift our economy, society, and culture to systems and actions that promote ecological sustainability. This radical transformation necessitates an equally radical transformation of resource utilization and decision-making strategies. Sustainable entrepreneurship (SE) is frequently touted as the solution to the triple-bottom-line challenges that businesses encounter; however, there are tangible constraints on its potential. SE is currently in the first phase of implementing technological frontier tools that provide empirical guidance throughout the entrepreneurial decision-making process. The potential for artificial intelligence (AI) to inform decision-making is advanced by Big Data (BD), which also establishes pathways to attain desired outcomes. The interactions between AI, BD, and SE have been generally under-studied thus far. The absence of work that consolidates and synthesizes this literature is the primary focus of this conceptual paper. We propose that AI and BD are capable of rapidly contributing to the continued sustainable development of the weak form, but they also hold significant potential for attaining the strong sustainability ideal. We present two proposals for the integration of AI and BD to inform and facilitate SE. Finally, we outline potential areas for future research. \u0000The core of human cosmology and ethics has always been the definition of his uniqueness. He ceased to be the species situated at the center of the universe, accompanied by the sun and stars, with the arrival of Copernicus and Galileo. He ceased to be the species that was created and specially endowed by God with soul and reason with the arrival of Darwin. With Freud, he ceased to be the species whose behavior could potentially be regulated by the rational mind. He has ceased to be the species that is uniquely capable of complex, intelligent manipulation of his environment as we begin to produce mechanisms that think and learn.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"51 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Utilizing the Internet of Things (IoT), Artificial Intelligence, Machine Learning, and Vehicle Telematics for Sustainable Growth in Small and Medium Firms (SMEs) 利用物联网 (IoT)、人工智能、机器学习和车辆远程信息处理技术促进中小型企业 (SME) 的可持续增长

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-24 DOI: 10.60087/jaigs.v5i1.197

Abideen Mayowa Abdul-Yekeen, Opeyemi Rasaq, Maryam Adebukola Ayinla, Azeezat Sikiru, Victoria Kujore, Tawakalit Omolabake Agboola

{"title":"Utilizing the Internet of Things (IoT), Artificial Intelligence, Machine Learning, and Vehicle Telematics for Sustainable Growth in Small and Medium Firms (SMEs)","authors":"Abideen Mayowa Abdul-Yekeen, Opeyemi Rasaq, Maryam Adebukola Ayinla, Azeezat Sikiru, Victoria Kujore, Tawakalit Omolabake Agboola","doi":"10.60087/jaigs.v5i1.197","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.197","url":null,"abstract":"New technologies like the Internet of Things (IoT), artificial intelligence, machine learning, and vehicle telematics have tremendous potential to improve SMEs business processes, increase efficiency, and reduce costs to obtain a competitive advantage. However, the application of these technologies is also associated with certain difficulties for SMEs to adopt and incorporate them in their business processes due to limited resources, knowledge, and funds. The advancement in technologies such as IoT and the digitization and datafication of physical infrastructure and processes are causing massive shifts across fields. While an increasing number of devices are being connected to the internet and are capturing large volumes of information about operations, users, and the physical environment, new opportunities are arising to leverage that big data for better analytics and automation. The purpose of this paper is to assess how SMEs can apply IoT, AI, machine learning, and vehicle telematics for sustainable development by enhancing business processes, data analysis, predictive maintenance, and efficient supply chain and transportation.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"32 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Impact of AI on Education: Innovative Tools and Trends 人工智能对教育的影响：创新工具和趋势

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-18 DOI: 10.60087/jaigs.v5i1.198

Doctor P. Z Msekelwa

{"title":"Impact of AI on Education: Innovative Tools and Trends","authors":"Doctor P. Z Msekelwa","doi":"10.60087/jaigs.v5i1.198","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.198","url":null,"abstract":"Every year, digital technologies appear in every industry. The new, developing technologies offer both advantages and disadvantages. The following are some recent examples of cutting-edge innovations in technology: data science, cybersecurity, block chain technology, artificial intelligence, machine learning, quantum learning, Internet of Things (IoT), 5G and 6G networks, hyper automation, cloud computing, robotics, and natural language processing. AL and ML combined with other cutting-edge, popular technologies have the potential to yield the positive outcomes and contribute to a greener future. Personalized medicine, drug development and predictive diagnostics using large scale data sets are all areas where machine learning might be beneficial to physicians. Students studying mechanical engineering must have a solid understanding of emerging trends such as autonomous vehicles. The potential of AV to create new, improved lifestyle and revolutionize urban planning and transportation has attracted a lot of interest. A research utilized a quantitative technique to further his research. A questionnaire was used to collect data from different participants, and 120 students from different fields in higher education sector were chosen at random. According to research, students who used popular technologies acquired more sophisticated abilities that will increase their output at work. Technology is always changing because it takes ongoing training to keep up with the latest development. The issue of the digital divide will be resolved by ongoing training.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":" 71","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Critique of Modern Feminism 现代女权主义批判

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-16 DOI: 10.60087/jaigs.v5i1.196

Arabella Jo

{"title":"Critique of Modern Feminism","authors":"Arabella Jo","doi":"10.60087/jaigs.v5i1.196","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.196","url":null,"abstract":"This paper explores the counter argument for Chapter 3 of Marriages, Families, and Relationships by Mary Ann Lamanna, Agnes Riedmann, and Susan Stewart, which deals with the topic of Gender Identities and Families, especially regarding feminism. This paper will provide a general summary, main points, and concepts of the chapter that focuses on feminism. Afterwards, this paper will continue to provide a general social, legal, and cultural climate of the time the book was written versus now (2024), and then reflect on some new information and research that disproves the glorification of modern feminism as done in the book. The critique will demonstrate how modern feminism, under the guise of advocating for gender equality, can sometimes promote racist and sexist agendas. Specifically, this paper will detail the mechanisms through which modern feminism disguises itself, manipulating social perceptions to orient one group as superior over others. This will include an analysis of how certain feminist narratives utilize the concepts of victimhood and social proof to establish a hierarchy of suffering and legitimacy, thereby positioning some groups as more deserving of support and resources than others, based on race, class, or historical experiences.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"9 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141641368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-Driven Risk Management Strategies in Financial Technology 人工智能驱动的金融科技风险管理战略

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-11 DOI: 10.60087/jaigs.v5i1.194

Harsh Daiya

引用次数: 0

The Effectiveness of Cyber Threat Intelligence in Improving Security Operations 网络威胁情报在改进安全运营方面的有效性

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-07-09 DOI: 10.60087/jaigs.v5i1.193

Joshua Smallman

{"title":"The Effectiveness of Cyber Threat Intelligence in Improving Security Operations","authors":"Joshua Smallman","doi":"10.60087/jaigs.v5i1.193","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.193","url":null,"abstract":"The purpose of this research was to comprehensively evaluate the effectiveness of Cyber Threat Intelligence (CTI) in enhancing security operations, while simultaneously identifying the various barriers to its adoption. Additionally, the study aimed to provide potential solutions to mitigate the identified barriers, to ensure successful adoption of CTI.A systematic review was undertaken to identify the main factors of enhanced security operations. Relevant questions and statements were then developed from these factors and a questionnaire was created using Google Forms. These questionnaires were then distributed via email to a sample size of 50 information technology professionals. These results were then analyzed using Microsoft Excel and SPSS. Overall, the research revealed that companies who used CTI reported significant gains in threat detection and response, risk management and threat-hunting abilities, which in turn lead to enhanced security operations. According to the research, several factors prevented organizations from adopting CTI. Among these were technological, regulatory, ignorance-related, and lack of executive support. Finally, to tackle these identified barriers the following were proposed adopting comprehensive awareness and education programs, the formation of an Executive CTI Steering Committees, structured CTI training and skills development programs, technology assessment and modernization initiative-based initiatives, proactive compliance, and legal strategies.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"27 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Headlamp and Side Mirror using Linear Regression based on Raspberry Pi3 基于 Raspberry Pi3 的线性回归自适应大灯和侧镜

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-06-12 DOI: 10.60087/jaigs.v5i1.171

Rahul Ekatpure

{"title":"Adaptive Headlamp and Side Mirror using Linear Regression based on Raspberry Pi3","authors":"Rahul Ekatpure","doi":"10.60087/jaigs.v5i1.171","DOIUrl":"https://doi.org/10.60087/jaigs.v5i1.171","url":null,"abstract":"The greatest number of fatal traffic accidents occurs on curved roads at nighttime. In most cases, the late recognition of objects in the traffic zone plays an important role. This highlights to the importance of the role of automobile forward lighting systems. This paper developed a proto-type auto adjustable headlamp and mirror tilt to improve cost and reliability. Also, an adaptive mirror is implemented to remove the blind spots while taking turns. The methodology used here adaptive headlamps and mirrors are developed using Raspberry Pi3 as hardware and Python is used as programming language. Machine learning algorithm “Linear regression” is used for computing the output. Machine Learning Linear regression is considered here as it simple and efficient algorithm in terms of implementation and memory usage. Easily available components like Raspberry Pi3, LDR Sensor, ADXL Gyroscope are used and the design is developed to provide the steering mechanism for the headlamps and mirror which are actuated along with the steering of the front wheels. Around 15% increase in the illuminated area on road and 20% increase in the side mirror view is achieved.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"31 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Cloud Computing Security Through Artificial Intelligence-Based Architecture 通过人工智能架构增强云计算安全性

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-06-12 DOI: 10.60087/jaigs.v5i1.166

Sundeep Reddy Mamidi

引用次数: 0

GPU-Optimized Image Processing and Generation Based on Deep Learning and Computer Vision 基于深度学习和计算机视觉的 GPU 优化图像处理与生成

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 Pub Date : 2024-06-11 DOI: 10.60087/jaigs.v5i1.162

Yiyu Lin, Ang Li, Huixiang Li, Yadong Shi, Xiaoan Zhan

引用次数: 0