[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2177":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":22,"tags":26,"view_count":31,"doi":32,"paper":33,"created_at":46},2177,"AI Fundamentals – Unit II: Applications of Artificial Intelligence","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22686297","Unit II – Applications of Artificial Intelligence is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the applications of Artificial Intelligence across six important domains: Healthcare, Finance, Retail, Agriculture, Education, and Transportation. It explains how AI technologies are used in these sectors for prediction, automation, decision support, personalization, optimization, and improving efficiency. The PPT presents concepts using simple explanations, real-world examples, diagrams, flowcharts, application workflows, comparison tables, benefits, challenges, and visual learning approaches. It is designed to support classroom teaching, student learning, revision, and examination preparation. Topics Covered AI in Healthcare AI in Finance AI in Retail AI in Agriculture AI in Education AI in Transportation AI technologies used across different application domains Benefits and challenges of AI applications AI-based prediction and decision support Real-world examples and integrated applications Learning Outcomes After studying this unit, learners will be able to: Explain major applications of AI in different domains. Identify how AI supports decision-making and automation. Describe the benefits and limitations of AI applications. Compare AI applications across different industries. Understand the role of AI in healthcare, finance, retail, agriculture, education, and transportation. Target Audience: Undergraduate students, particularly students studying Computer Science and related disciplines. Educational Use: This resource is intended for teaching, learning, classroom presentation, revision, and educational adaptation in accordance with the OER license specified for the resource. Author:Dr C V KrishnaveniLecturer in Computer ScienceSKR & SKR Government College for Women (Autonomous)Kadapa, Andhra Pradesh, India","第二单元——人工智能的应用是一份为本科人工智能基础课程开发的开源教育资源（OER）演示文稿。本演示文稿介绍了人工智能在六个重要领域的应用：医疗保健、金融、零售、农业、教育和交通运输。它解释了人工智能技术如何在这些领域用于预测、自动化、决策支持、个性化、优化和提升效率。该PPT通过简明解释、真实案例、图表、流程图、应用工作流程、对比表格、优势、挑战以及可视化学习方法呈现相关概念。其设计旨在支持课堂教学、学生学习、复习和考试准备。涵盖主题：医疗保健中的人工智能、金融中的人工智能、零售中的人工智能、农业中的人工智能、教育中的人工智能、交通运输中的人工智能、不同应用领域中使用的AI技术、AI应用的优势与挑战、基于AI的预测与决策支持、真实案例与集成应用。学习成果：学习本单元后，学习者将能够：解释AI在不同领域中的主要应用。识别AI如何支持决策与自动化。描述AI应用的优势与局限。比较不同行业中的AI应用。理解AI在医疗保健、金融、零售、农业、教育和交通运输中的作用。目标受众：本科生，尤其是学习计算机科学及相关学科的学生。教育用途：本资源旨在用于教学、学习、课堂演示、复习以及根据本资源所规定的OER许可进行教育适配。作者：C V Krishnaveni博士，计算机科学讲师，SKR & SKR Government College for Women (Autonomous)，卡达帕，安得拉邦，印度。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-10T00:00:00Z","论文",25,false,40,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":17,"relevant":20,"comment":21},8,10,6,1,"面向本科教学的AI应用综述型开放课件，仅一节涉及农业，属教学资料而非农业信息化实质进展，不宜进入每日精选。",[23,24],{"name":10,"url":6},{"name":10,"url":25},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22686296",[27,28,29,30],"智慧农业","农业人工智能","AI应用","教育资源",0,"10.5281\u002Fzenodo.22686297",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":31,"oa_url":6,"card":39,"direction":43,"ingested_from":45},"W7212122161",[36],{"name":37,"orcid":38},"Venkata Krishnaveni Chennuru","https:\u002F\u002Forcid.org\u002F0000-0003-2209-483X",{"tldr":40,"method":41,"finding":42,"direction":43,"opportunity":44},"这是一份面向本科生的AI基础开放教育资源，介绍AI在医疗、金融、零售、农业等六大领域的应用。","以PPT形式整合概念讲解、案例、流程图、对比表等教学素材，覆盖六大应用领域。","AI在农业等领域主要用于预测、自动化、决策支持与效率优化，并需权衡其利弊。","农业人工智能与决策模型","可针对农业领域开发更细化的AI应用教学模块或案例库，弥补现有OER中农业内容较泛的空白。","openalex","2026-09-11T23:30:47.523585Z"]