Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable information services. Achieving this ambitious goal requires new radio techniques for adaptive learning and intelligent decision making because of the complex heterogeneous nature of the network structures and wireless services. Machine learning (ML) algorithms have great success in supporting big data analytics, efficient parameter estimation and interactive decision making. Hence, in this article, we review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning. Furthermore, we investigate their employment in the compelling applications of wireless networks, including heterogeneous networks (HetNets), cognitive radios (CR), Internet of things (IoT), machine to machine networks (M2M), and so on. This article aims for assisting the readers in clarifying the motivation and methodology of the various ML algorithms, so as to invoke them for hitherto unexplored services as well as scenarios of future wireless networks.Comment: 46 pages, 22 fig

Big Data and the Internet of Things

Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski (eds.) Big Data Analysis: New algorithms for a new society, Springer Series on Studies in Big Data, to appea

To Frame or Reframe: Where Might Design Thinking Research Go Next?

Design thinking is gaining widespread attention in the practitioner and academic literature. Successful implementation has been documented, and its value shown in empirical studies. There is little examination, however, of how design thinking practices fit with other approaches from which firms might choose to frame and solve problems such as agile, lean startup, scientific method, Six Sigma, critical thinking, and systems thinking. By digging into the basic capabilities underlying design thinking, academic researchers might better understand problem framing and solving in general and provide insight for practitioners as to where alternative approaches might be applied

An overview of research on human-centered design in the development of artificial general intelligence

Abstract: This article offers a comprehensive analysis of Artificial General Intelligence (AGI) development through a humanistic lens. Utilizing a wide array of academic and industry resources, it dissects the technological and ethical complexities inherent in AGI's evolution. Specifically, the paper underlines the societal and individual implications of AGI and argues for its alignment with human values and interests. Purpose: The study aims to explore the role of human-centered design in AGI's development and governance. Design/Methodology/Approach: Employing content analysis and literature review, the research evaluates major themes and concepts in human-centered design within AGI development. It also scrutinizes relevant academic studies, theories, and best practices. Findings: Human-centered design is imperative for ethical and sustainable AGI, emphasizing human dignity, privacy, and autonomy. Incorporating values like empathy, ethics, and social responsibility can significantly influence AGI's ethical deployment. Talent development is also critical, warranting interdisciplinary initiatives. Research Limitations/Implications: There is a need for additional empirical studies focusing on ethics, social responsibility, and talent cultivation within AGI development. Practical Implications: Implementing human-centered values in AGI development enables ethical and sustainable utilization, thus promoting human dignity, privacy, and autonomy. Moreover, a concerted effort across industry, academia, and research sectors can secure a robust talent pool, essential for AGI's stable advancement. Originality/Value: This paper contributes original research to the field by highlighting the necessity of a human-centered approach in AGI development, and discusses its practical ramifications.Comment: 20 page

Exploring the Ways Arts and Culture Intersect with Public Safety: Identifying Current Practice and Opportunities for Further Inquiry

This report describes the range of activities at the intersection of public safety and arts and culture, outlines a theory of change, and provides recommendations for further consideration. Through interviews with experts in the field, this research found that art in the public safety sector promotes empathy and understanding, influences law and policy, provides career opportunities, supports well-being, and advances the quality of place

Tangible user interfaces : past, present and future directions

In the last two decades, Tangible User Interfaces (TUIs) have emerged as a new interface type that interlinks the digital and physical worlds. Drawing upon users' knowledge and skills of interaction with the real non-digital world, TUIs show a potential to enhance the way in which people interact with and leverage digital information. However, TUI research is still in its infancy and extensive research is required in or- der to fully understand the implications of tangible user interfaces, to develop technologies that further bridge the digital and the physical, and to guide TUI design with empirical knowledge. This paper examines the existing body of work on Tangible User In- terfaces. We start by sketching the history of tangible user interfaces, examining the intellectual origins of this field. We then present TUIs in a broader context, survey application domains, and review frame- works and taxonomies. We also discuss conceptual foundations of TUIs including perspectives from cognitive sciences, phycology, and philoso- phy. Methods and technologies for designing, building, and evaluating TUIs are also addressed. Finally, we discuss the strengths and limita- tions of TUIs and chart directions for future research

An Organization’s Ability to Improve Outsourcing Outcomes in Information Technology Outsourcing Initiatives by Increasing Organizational Knowledge: A Case Study

The problem addressed in this study was the literature gap regarding how internal organizational knowledge can be increased effectively within outsourcing projects. The study was a qualitative social constructionist case study composed of senior technology leaders. The purpose this study addressed was to understand the current structure of technical outsourcing contracts and how future contracts could be structured to address the problem of this study. The research incorporated how a reconceptualized absorptive capacity model, sociocognitive theory, and digital leadership mindsets could improve knowledge transfer outcomes between a vendor and client. Research shows that increasing an organization’s knowledge during an outsourcing project can lead to increased organizational innovation capacity and improve the output and quality of products. The qualitative semistructured interview data were codified manually using transcribed data with NVivo 12 software for depicting patterns and themes. The study findings indicated that corporate learning programs lacked the necessary rigor to prepare the organization effectively before and after an outsourcing engagement in terms of preparing associates with the technical knowledge transfer necessary to lessen future vendor dependencies. Additionally, I found a lack of formalized language depicting learning and knowledge transfer deliverables in outsourcing contracts. The study’s primary conclusion centered on the importance of leaders incorporating a more digital mindset and a corporate learning program focused on a structured, continual strategic learning program. Additionally, the development and inclusion of formalized learning objectives, knowledge transfer, and stated deliverables in an outsource contract are vital