Integrating Artificial Intelligence into Creativity Education: Developing a Creative Problem-Solving Course for Higher Education

This project aims to develop an introductory college course that integrates Artificial Intelligence (AI) to enhance the Creative Problem Solving (CPS) process. Drawing on best practices for teaching CPS and the latest research of AI, the project outcomes are prototypes of a Master Course Development Document, Student Syllabus, and Lesson Plan with accompanying PowerPoint slides. The course will equip students with the knowledge and skills to apply AI techniques to the CPS process. This project aims to begin to bridge the gap between AI and CPS education, preparing students for the demands of the modern workforce while fostering interdisciplinary thinking

Design research in the Netherlands 2005 : proceedings of the symposium held on 19-20 May 2005, Eindhoven University of Technology

Design Research in the Netherlands 2005 is the third instalment of a symposium that intends to provide a forum for researchers across the academic and designing disciplines. The five-year interval (1995, 2000, and 2005) allows participants to take a step back from daily considerations and to reflect on their basic methodological assumptions, research programmes, and outcomes. Work on design research is organised in this book in three main parts: Design Research, Design Processes, and Design Tools. The part on Design Research contains papers from the Designed Intelligence Group of Industrial Design TU Eindhoven, the Philosophy Department of the Faculty of Technology, Policy and Management TU Delft, Design Theory and Methodology group of Industrial Design TU Delft, Form and Media Studies of Architecture TU Delft, and Technical Ecology of Architecture TU Delft. The part on Design Processes contains papers from Construction Management & Engineering of Engineering Technology University Twente, Construction Management of Architecture TU Eindhoven, Physical Aspects of the Built Environment Architecture TU Eindhoven, Technical Design & Informatics of Architecture TU Delft, and Knowledge Centre Buildings & Systems TU/e-TNO. The part on Design Tools contains contributions from the Institute of Artificial Art Amsterdam and University of Amsterdam, Technical Design & Informatics of Architecture TU Delft, Design, Integration and Operations of Aircraft and Rotorcraft of Aerospace Engineering TU Delft, TNO Delft, Computational Design of Architecture TU Delft, ID StudioLab of Industrial Design TU Delft, and Design Systems of Architecture TU Eindhoven. Design Research in the Netherlands 2005 in this way provides a sample sheet of the many varied ways in which design is investigated in the Netherlands

Design research in the Netherlands 2005 : proceedings of the symposium held on 19-20 May 2005, Eindhoven University of Technology

Design Research in the Netherlands 2005 is the third instalment of a symposium that intends to provide a forum for researchers across the academic and designing disciplines. The five-year interval (1995, 2000, and 2005) allows participants to take a step back from daily considerations and to reflect on their basic methodological assumptions, research programmes, and outcomes. Work on design research is organised in this book in three main parts: Design Research, Design Processes, and Design Tools. The part on Design Research contains papers from the Designed Intelligence Group of Industrial Design TU Eindhoven, the Philosophy Department of the Faculty of Technology, Policy and Management TU Delft, Design Theory and Methodology group of Industrial Design TU Delft, Form and Media Studies of Architecture TU Delft, and Technical Ecology of Architecture TU Delft. The part on Design Processes contains papers from Construction Management & Engineering of Engineering Technology University Twente, Construction Management of Architecture TU Eindhoven, Physical Aspects of the Built Environment Architecture TU Eindhoven, Technical Design & Informatics of Architecture TU Delft, and Knowledge Centre Buildings & Systems TU/e-TNO. The part on Design Tools contains contributions from the Institute of Artificial Art Amsterdam and University of Amsterdam, Technical Design & Informatics of Architecture TU Delft, Design, Integration and Operations of Aircraft and Rotorcraft of Aerospace Engineering TU Delft, TNO Delft, Computational Design of Architecture TU Delft, ID StudioLab of Industrial Design TU Delft, and Design Systems of Architecture TU Eindhoven. Design Research in the Netherlands 2005 in this way provides a sample sheet of the many varied ways in which design is investigated in the Netherlands

Spartan Daily, April 22, 1993

Volume 100, Issue 52https://scholarworks.sjsu.edu/spartandaily/8410/thumbnail.jp

Spartan Daily, April 22, 1993

Volume 100, Issue 52https://scholarworks.sjsu.edu/spartandaily/8410/thumbnail.jp

Deep Learning for Computer Vision in Smart Cities

[EN] The Digital Age has caused a rapid shift from traditional industry to an economy mainly based upon information technology. According to recent studies, 74 zettabytes (ZB) of data have been generated, captured and replicated in the world in 2021, with video accounting for 82% of internet traffic. This figure has been amplified due to the coronavirus pandemic, and it is expected to keep increasing, reaching 149 ZB by 2024. Processing this impressive amount of information is one of the main scientific challenges of our time. Against this backdrop, Machine Learning (ML) and two related paradigms have emerged: big data and deep learning. These disciplines take advantage of mathematical optimization methods, bioinspiration and modern Graphics Processing Units (GPUs) to manage large datasets efficiently and effectively. Cities from around the world have adapted the previous methods to make use of the newly available data, promoting themselves as “smart”. Apart from aiming to integrate innovative technologies in their daily operation, Smart Cities (SCs) aim to attract new residents and external investors. Some of the key motivations of the Horizon projects and NextGenerationEU funds are precisely to make cities more digital, greener, healthier and robust. Artificial Intelligence (AI) can greatly contribute to the achievement of those objectives. Several lines of action have been identified in SCs, such as: smart mobility, smart environment, smart people, smart living and smart economy. This dissertation focuses on vision applications of deep learning within the scope of SCs. Theoretical and practical research gaps are identified and suitable solutions are proposed. As a result, the state of the art has been pushed forward and new use cases have been successfully implemented. A novel solution is proposed for each of the identified lines of action. Two models have been designed and evaluated with special attention to efficiency and scalability, and a third model has been created and tested focusing on accuracy within a high-resource environment. Moreover, two novel methods have been developed: a method for automatising crucial healthcare challenges, making early diagnosis an option; and another method for automatic unbiased cadastral categorization

A survey of app store analysis for software engineering

App Store Analysis studies information about applications obtained from app stores. App stores provide a wealth of information derived from users that would not exist had the applications been distributed via previous software deployment methods. App Store Analysis combines this non-technical information with technical information to learn trends and behaviours within these forms of software repositories. Findings from App Store Analysis have a direct and actionable impact on the software teams that develop software for app stores, and have led to techniques for requirements engineering, release planning, software design, security and testing. This survey describes and compares the areas of research that have been explored thus far, drawing out common aspects, trends and directions future research should take to address open problems and challenges