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How archives obscure recorded media—and the case in favor of discovering them.\r\n\r\nSilence is not absence. It may be perceived as meaningless, or it may not be perceived at all, but it takes up space. In Dissonant Records, Tanya Clement makes the case for spoken word audio recordings within the archives. She explains why we tend to not use these audio recordings in research, what silences …
Distributional reinforcement learning is a new mathematical formalism for thinking about decisions. Going beyond the common approach to reinforcement learning and expected values, it focuses on the total reward or return obtained as a consequence of an agent\'s choices—specifically, how this return behaves from a probabilistic perspective. In this first comprehensive guide to distributional r…
The goal of this book is to establish an alternative agenda for commentary on AI that emphasizes the opportunities for human-centered\r\nsystem design by prioritizing direct specification of computer behavior. Drawing on the tradition of end-user programming research and\r\nresulting products and features, case studies show the ways that usable and controllable modes of abstract representation …
This book examines how management education responds to economic, social, and geopolitical uncertainties by reimagining global business education as a force for inclusion, peace, and mutual understanding. It challenges the traditional export of Western models and instead promotes inclusive internationalization through diverse practices, co-created pedagogy, and context-driven knowledge. Drawing…
This book traces the experience of digital economic transformation in seven developing countries, providing insights for policymakers and practitioners in similar situations as well as lessons for outsiders trying to support government reform efforts more broadly. In one country, the prime minister pushes for the liberalization of digital finance as a central pillar of the country’s national …
The future of the teaching profession is central not only to the field of education but also to the development of democratic and inclusive societies. Since the 1980s, however, the teaching profession has undergone unprecedented changes in terms of the status and attractiveness of the profession, labor markets, and accountability models. At the same time, it has become increasingly subject to g…
The idea of an intelligent machine has fascinated humans for centuries. Intelligence can be defined as the capacity for learning, reasoning, understanding, or the aptitude for grasping truths, relationships, facts, or meanings. Any of these perspectives requires the capacity to acquire data from the surrounding environment and possibly act over that environment. In short, the building of autono…
The areas of machine learning and deep learning have experienced impressive progress in recent years. This progress has mainly been driven by the availability of high processing performance at an affordable cost and a large quantity of data. Most state-of-the-art techniques today are based on deep neural networks or the more recently proposed transformers. This progress has sparked innovations …
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and…
The aim of this reprint is to address increasingly complex human problems by utilizing various sensors to collect data, enabling the formulation of solutions through deep learning and artificial intelligence (AI). This trend creates a high demand for sensors while presenting new challenges in developing sensor devices and applications across various fields, such as healthcare, manufacturing, ag…