arXiv - CS - Emerging Technologies最新文献_第7页

Mapping the Digital Healthcare Revolution 绘制数字医疗革命地图

arXiv - CS - Emerging Technologies Pub Date : 2024-07-29 DOI: arxiv-2407.20300

Marcelo Corrales Compagnucci, Mark Fenwick, Michael Lowery Wilson, Nikolaus Forgo, Till Baernighausen

引用次数: 0

Faculty Perspectives on the Potential of RAG in Computer Science Higher Education 教师对 RAG 在计算机科学高等教育中的潜力的看法

arXiv - CS - Emerging Technologies Pub Date : 2024-07-28 DOI: arxiv-2408.01462

Sagnik Dakshit

{"title":"Faculty Perspectives on the Potential of RAG in Computer Science Higher Education","authors":"Sagnik Dakshit","doi":"arxiv-2408.01462","DOIUrl":"https://doi.org/arxiv-2408.01462","url":null,"abstract":"The emergence of Large Language Models (LLMs) has significantly impacted the\u0000field of Natural Language Processing and has transformed conversational tasks\u0000across various domains because of their widespread integration in applications\u0000and public access. The discussion surrounding the application of LLMs in\u0000education has raised ethical concerns, particularly concerning plagiarism and\u0000policy compliance. Despite the prowess of LLMs in conversational tasks, the\u0000limitations of reliability and hallucinations exacerbate the need to guardrail\u0000conversations, motivating our investigation of RAG in computer science higher\u0000education. We developed Retrieval Augmented Generation (RAG) applications for\u0000the two tasks of virtual teaching assistants and teaching aids. In our study,\u0000we collected the ratings and opinions of faculty members in undergraduate and\u0000graduate computer science university courses at various levels, using our\u0000personalized RAG systems for each course. This study is the first to gather\u0000faculty feedback on the application of LLM-based RAG in education. The\u0000investigation revealed that while faculty members acknowledge the potential of\u0000RAG systems as virtual teaching assistants and teaching aids, certain barriers\u0000and features are suggested for their full-scale deployment. These findings\u0000contribute to the ongoing discussion on the integration of advanced language\u0000models in educational settings, highlighting the need for careful consideration\u0000of ethical implications and the development of appropriate safeguards to ensure\u0000responsible and effective implementation.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"128 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141937235","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

Danish DPA Banned the Use of Google Chromebooks and Google Workspace in Schools in Helsingor Municipality 丹麦 DPA 禁止赫尔辛格市的学校使用谷歌 Chromebooks 和谷歌工作空间

arXiv - CS - Emerging Technologies Pub Date : 2024-07-28 DOI: arxiv-2407.19377

Marcelo Corrales Compagnucci

{"title":"Danish DPA Banned the Use of Google Chromebooks and Google Workspace in Schools in Helsingor Municipality","authors":"Marcelo Corrales Compagnucci","doi":"arxiv-2407.19377","DOIUrl":"https://doi.org/arxiv-2407.19377","url":null,"abstract":"On July 14th, 2022, the Danish Data Protection Authority issued a reprimand\u0000against Helsingor Municipality. It imposed a general ban on using Google\u0000Chromebooks and Google Workspace for education in primary schools in the\u0000Municipality. The Danish DPA banned such processing and suspended any related\u0000data transfers to the United States (U.S.) until it is brought in line with the\u0000General Data Protection Regulation (GDPR). The suspension took effect\u0000immediately, and the Municipality had until August 3rd, 2022, to withdraw and\u0000terminate the processing, as well as delete data already transferred. Finally,\u0000in a new decision on August 18th, 2022, the Danish DPA has ratified the ban to\u0000the use of Google Chromebooks and Workspace. In the eyes of the Danish DPA, the\u0000Municipality failed for example to document that they have assessed and reduced\u0000the relevant risks to the rights and freedoms of the pupils. This article is\u0000structured as follows: section II provides the background concerning the\u0000unfolding events after the Schrems II ruling. Section III discusses the origins\u0000and facts of the Danish DPA case. Section IV examines the reasoning and\u0000critical findings of the Danish DPA decision. Finally, section V concludes with\u0000some general recommendations the Danish municipalities must follow based on the\u0000ensuing effects stemming from this case.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"1402 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866686","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

Interactive Learning in Computer Science Education Supported by a Discord Chatbot Discord 聊天机器人支持计算机科学教育中的互动学习

arXiv - CS - Emerging Technologies Pub Date : 2024-07-27 DOI: arxiv-2407.19266

Santiago Berrezueta-Guzman, Ivan Parmacli, Stephan Krusche, Stefan Wagner

{"title":"Interactive Learning in Computer Science Education Supported by a Discord Chatbot","authors":"Santiago Berrezueta-Guzman, Ivan Parmacli, Stephan Krusche, Stefan Wagner","doi":"arxiv-2407.19266","DOIUrl":"https://doi.org/arxiv-2407.19266","url":null,"abstract":"Enhancing interaction and feedback collection in a first-semester computer\u0000science course poses a significant challenge due to students' diverse needs and\u0000engagement levels. To address this issue, we created and integrated a\u0000command-based chatbot on the course communication server on Discord. The\u0000DiscordBot enables students to provide feedback on course activities through\u0000short surveys, such as exercises, quizzes, and lectures, facilitating\u0000stress-free communication with instructors. It also supports attendance\u0000tracking and introduces lectures before they start. The research demonstrates the effectiveness of the DiscordBot as a\u0000communication tool. The ongoing feedback allowed course instructors to\u0000dynamically adjust and improve the difficulty level of upcoming activities and\u0000promote discussion in subsequent tutor sessions. The data collected reveal that\u0000students can accurately perceive the activities' difficulty and expected\u0000results, providing insights not possible through traditional end-of-semester\u0000surveys. Students reported that interaction with the DiscordBot was easy and\u0000expressed a desire to continue using it in future semesters. This responsive\u0000approach ensures the course meets the evolving needs of students, thereby\u0000enhancing their overall learning experience.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866689","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

Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform 量子加速器与高性能计算的整合：迈向统一的量子平台

arXiv - CS - Emerging Technologies Pub Date : 2024-07-26 DOI: arxiv-2407.18527

Amr Elsharkawy, Xiaorang Guo, Martin Schulz

{"title":"Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform","authors":"Amr Elsharkawy, Xiaorang Guo, Martin Schulz","doi":"arxiv-2407.18527","DOIUrl":"https://doi.org/arxiv-2407.18527","url":null,"abstract":"To harness the power of quantum computing (QC) in the near future, tight and\u0000efficient integration of QC with high performance computing (HPC)\u0000infrastructure (both on the software (SW) and the hardware (HW) level) is\u0000crucial. This paper addresses the development of a unified quantum platform\u0000(UQP) and how it is being integrated into the HPC ecosystem. It builds on the\u0000concepts of hybrid high performance computing - quantum computing (HPCQC)\u0000workflows and a unified HPCQC toolchain, introduced in our previous work and\u0000makes the next needed step: it unifies the low-level interface between the\u0000existing classical HPC systems and the emerging quantum hardware technologies,\u0000including but not limited to machines based on superconducting qubits, neutral\u0000atoms or trapped ions. The UQP consists of three core components: a runtime\u0000library, an instruction set architecture (ISA) and a quantum control processor\u0000(QCP) micro-architecture. In particular, this work contributes a unified HPCQC\u0000runtime library that bridges the gap between programming systems built on\u0000quantum intermediate representation (QIR) standard with a novel, unified hybrid\u0000ISA. It then introduces the initial extension of an ISA and QCP\u0000micro-architecture to be platform and technology agnostic and enables it as an\u0000efficient execution platform. The UQP has been verified to ensure correctness.\u0000Further, our performance analysis shows that the execution time and memory\u0000requirements of the runtime library scale super-linearly with number of qubits,\u0000which is critical to support scalability efforts in QC hardware.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866688","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

Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements 本科生学习的革命性变革：CourseGPT 及其生成式人工智能的进步

arXiv - CS - Emerging Technologies Pub Date : 2024-07-25 DOI: arxiv-2407.18310

Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed

{"title":"Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements","authors":"Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed","doi":"arxiv-2407.18310","DOIUrl":"https://doi.org/arxiv-2407.18310","url":null,"abstract":"Integrating Generative AI (GenAI) into educational contexts presents a\u0000transformative potential for enhancing learning experiences. This paper\u0000introduces CourseGPT, a generative AI tool designed to support instructors and\u0000enhance the educational experiences of undergraduate students. Built on\u0000open-source Large Language Models (LLMs) from Mistral AI, CourseGPT offers\u0000continuous instructor support and regular updates to course materials,\u0000enriching the learning environment. By utilizing course-specific content, such\u0000as slide decks and supplementary readings and references, CourseGPT provides\u0000precise, dynamically generated responses to student inquiries. Unlike generic\u0000AI models, CourseGPT allows instructors to manage and control the responses,\u0000thus extending the course scope without overwhelming details. The paper\u0000demonstrates the application of CourseGPT using the CPR E 431 - Basics of\u0000Information System Security course as a pilot. This course, with its large\u0000enrollments and diverse curriculum, serves as an ideal testbed for CourseGPT.\u0000The tool aims to enhance the learning experience, accelerate feedback\u0000processes, and streamline administrative tasks. The study evaluates CourseGPT's\u0000impact on student outcomes, focusing on correctness scores, context recall, and\u0000faithfulness of responses. Results indicate that the Mixtral-8x7b model, with a\u0000higher parameter count, outperforms smaller models, achieving an 88.0%\u0000correctness score and a 66.6% faithfulness score. Additionally, feedback from\u0000former students and teaching assistants on CourseGPT's accuracy, helpfulness,\u0000and overall performance was collected. The outcomes revealed that a significant\u0000majority found CourseGPT to be highly accurate and beneficial in addressing\u0000their queries, with many praising its ability to provide timely and relevant\u0000information.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866690","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

Mobile Technology: A Panacea to Food Insecurity In Nigeria -- A Case Study of SELL HARVEST Application 移动技术：解决尼日利亚粮食不安全问题的灵丹妙药 -- SELL HARVEST 应用程序案例研究

arXiv - CS - Emerging Technologies Pub Date : 2024-07-23 DOI: arxiv-2407.16614

Mudathir Muhammad Salahudeen, Muhammad Auwal Mukhtar, Saadu Salihu Abubakar, Salawu I. S

{"title":"Mobile Technology: A Panacea to Food Insecurity In Nigeria -- A Case Study of SELL HARVEST Application","authors":"Mudathir Muhammad Salahudeen, Muhammad Auwal Mukhtar, Saadu Salihu Abubakar, Salawu I. S","doi":"arxiv-2407.16614","DOIUrl":"https://doi.org/arxiv-2407.16614","url":null,"abstract":"Over time, agriculture is the most consistent activity, and it evolves every\u0000day. It contributes to a vast majority of the Gross Domestic Product (GDP) of\u0000Nigeria but as ironic as it may be, there is still hunger in significant parts\u0000of the country due to low productivity in the agricultural sector and\u0000comparison to the geometric population growth. During the first half of 2022,\u0000agriculture contributed about 23% of the country's GDP while the industry and\u0000services sector had a share of the remaining 77%. This showed that with the\u0000high rate of agricultural activities, Nigeria has not achieved food security\u0000for the teeming population. and more productivity levels can be attained.\u0000Technology can/will assist Nigeria in overcoming global poverty and hunger\u0000quicker in both rural and urban areas. Today, there are many types of\u0000agricultural technologies available for farmers all over the world to increase\u0000productivity. Major technological advancements include indoor vertical farming,\u0000automation, robotics, livestock technology, modern greenhouse practices,\u0000precision agriculture, artificial intelligence, and blockchain. Mobile phones\u0000have one of the highest adoption rates of technologies developed within the\u0000last century. Digitalization will bring consumers and farmers closer together\u0000to access the shortest supply chain possible and reduce rural poverty and\u0000hunger. The paper will review the different agricultural technologies and\u0000propose a mobile solution, code Sell Harvest, to make farming more sustainable\u0000and secure food. Keywords: Sell Harvest, Agriculture, Technology, Artificial Intelligence, and\u0000Digital Farming.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"245 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773729","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

Artificial Agency and Large Language Models 人工机构和大型语言模型

arXiv - CS - Emerging Technologies Pub Date : 2024-07-23 DOI: arxiv-2407.16190

Maud Van Lier, Gorka Muñoz-Gil

{"title":"Artificial Agency and Large Language Models","authors":"Maud Van Lier, Gorka Muñoz-Gil","doi":"arxiv-2407.16190","DOIUrl":"https://doi.org/arxiv-2407.16190","url":null,"abstract":"The arrival of Large Language Models (LLMs) has stirred up philosophical\u0000debates about the possibility of realizing agency in an artificial manner. In\u0000this work we contribute to the debate by presenting a theoretical model that\u0000can be used as a threshold conception for artificial agents. The model defines\u0000agents as systems whose actions and goals are always influenced by a dynamic\u0000framework of factors that consists of the agent's accessible history, its\u0000adaptive repertoire and its external environment. This framework, in turn, is\u0000influenced by the actions that the agent takes and the goals that it forms. We\u0000show with the help of the model that state-of-the-art LLMs are not agents yet,\u0000but that there are elements to them that suggest a way forward. The paper\u0000argues that a combination of the agent architecture presented in Park et al.\u0000(2023) together with the use of modules like the Coscientist in Boiko et al.\u0000(2023) could potentially be a way to realize agency in an artificial manner. We\u0000end the paper by reflecting on the obstacles one might face in building such an\u0000artificial agent and by presenting possible directions for future research.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773815","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

VidyaRANG: Conversational Learning Based Platform powered by Large Language Model VidyaRANG：基于大语言模型的会话学习平台

arXiv - CS - Emerging Technologies Pub Date : 2024-07-23 DOI: arxiv-2407.16209

Chitranshu Harbola, Anupam Purwar

{"title":"VidyaRANG: Conversational Learning Based Platform powered by Large Language Model","authors":"Chitranshu Harbola, Anupam Purwar","doi":"arxiv-2407.16209","DOIUrl":"https://doi.org/arxiv-2407.16209","url":null,"abstract":"Providing authoritative information tailored to a student's specific doubt is\u0000a hurdle in this era where search engines return an overwhelming number of\u0000article links. Large Language Models such as GPTs fail to provide answers to\u0000questions that were derived from sensitive confidential information. This\u0000information which is specific to some organisations is not available to LLMs\u0000due to privacy constraints. This is where knowledge-augmented retrieval\u0000techniques become particularly useful. The proposed platform is designed to\u0000cater to the needs of learners from divergent fields. Today, the most common\u0000format of learning is video and books, which our proposed platform allows\u0000learners to interact and ask questions. This increases learners' focus time\u0000exponentially by restricting access to pertinent content and, at the same time\u0000allowing personalized access and freedom to gain in-depth knowledge.\u0000Instructor's roles and responsibilities are significantly simplified allowing\u0000them to train a larger audience. To preserve privacy, instructors can grant\u0000course access to specific individuals, enabling personalized conversation on\u0000the provided content. This work includes an extensive spectrum of software\u0000development and product management skills, which also circumscribe knowledge of\u0000cloud computing for running Large Language Models and maintaining the\u0000application. For Frontend development, which is responsible for user\u0000interaction and user experience, Streamlit and React framework have been\u0000utilized. To improve security and privacy, the server is routed to a domain\u0000with an SSL certificate, and all the API key/s are stored securely on an AWS\u0000EC2 instance, to enhance user experience, web connectivity to an Android\u0000Studio-based mobile app has been established, and in-process to publish the app\u0000on play store, thus addressing all major software engineering disciplines","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773831","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

A Programming Model for Disaggregated Memory over CXL 通过 CXL 分解内存的编程模型

arXiv - CS - Emerging Technologies Pub Date : 2024-07-23 DOI: arxiv-2407.16300

Gal Assa, Michal Friedman, Ori Lahav

{"title":"A Programming Model for Disaggregated Memory over CXL","authors":"Gal Assa, Michal Friedman, Ori Lahav","doi":"arxiv-2407.16300","DOIUrl":"https://doi.org/arxiv-2407.16300","url":null,"abstract":"CXL (Compute Express Link) is an emerging open industry-standard interconnect\u0000between processing and memory devices that is expected to revolutionize the way\u0000systems are designed in the near future. It enables cache-coherent shared\u0000memory pools in a disaggregated fashion at unprecedented scales, allowing\u0000algorithms to interact with a variety of storage devices using simple loads and\u0000stores in a cacheline granularity. Alongside with unleashing unique\u0000opportunities for a wide range of applications, CXL introduces new challenges\u0000of data management and crash consistency. Alas, CXL lacks an adequate\u0000programming model, which makes reasoning about the correctness and expected\u0000behaviors of algorithms and systems on top of it nearly impossible. In this work, we present CXL0, the first programming model for concurrent\u0000programs running on top of CXL. We propose a high-level abstraction for CXL\u0000memory accesses and formally define operational semantics on top of that\u0000abstraction. We provide a set of general transformations that adapt concurrent\u0000algorithms to the new disruptive technology. Using these transformations, every\u0000linearizable algorithm can be easily transformed into its provably correct\u0000version in the face of a full-system or sub-system crash. We believe that this\u0000work will serve as the stepping stone for systems design and modelling on top\u0000of CXL, and support the development of future models as software and hardware\u0000evolve.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773731","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