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The essays are tied together by their explorations of connections (primarily among technology, society, and knowledge) and by their general focus on modern "high" technology. They also share an emphasis on the complexity of technological formation and fixation and on the role of belief (especially self-validating belief) in technological change.
A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. - Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' - Emma Gannon, author of The Multi-Hyphen Method and host of the podcast Ctrl Alt Delete
MACHINE OF DEATH tells thirty-four different stories about people who know how they will die. Prepare to have your tears jerked, your spine tingled, your funny bone tickled, your mind blown, your pulse quickened, or your heart warmed. Or better yet, simply prepare to be surprised. Because even when people do have perfect knowledge of the future, there's no telling exactly how things will turn out.
In Ways of Knowing, John V. Pickstone provides a new and accessible framework for understanding science, technology, and medicine (STM) in the West from the Renaissance to the present. Pickstone's approach has four key features. First, he synthesizes the long-term histories and philosophies of disciplines that are normally studied separately. Second, he dissects STM into specific ways of knowing—natural history, analysis, and experimentalism—with separate but interlinked elements. Third, he explores these ways of knowing as forms of work related to our various technologies for making, mending, and destroying. And finally, he relates scientific and technical knowledges to popular understandings and to politics. Covering an incredibly wide range of subjects, from minerals and machines to patients and pharmaceuticals, and from experimental physics to genetic engineering, Pickstone's Ways of Knowing challenges the reader to reexamine traditional conceptualizations of the history, philosophy, and social studies of science, technology, and medicine.
"Written for vibration analysts, predictive maintenance specialists, field mechanics, and a wide variety of engineers, Vibration Spectrum Analysis assumes no prior knowledge of advanced mathematics or mechanical engineering. It carefully guides the reader through sophisticated analysis techniques in a logical, easy-to-understand manner."--BOOK JACKET.
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Originally published in 1977, the chapters in this volume derive from a conference on Perceiving, Acting and Knowing held by the Center for Research in Human Learning at the University of Minnesota in 1973. The volume was intended to appeal, not just to the specialist or the novice, but to anyone sufficiently interested in psychology to have obtained a sense of its history at the time. Through these essays the authors express a collective attitude that a careful scrutiny of the fundamental tenets of contemporary psychology may be needed. In some essays specific faults in the foundations of an area are discussed, and suggestions are made for remedying them. In other essays the authors flirt with more radical solutions, namely, beginning from new foundations altogether. Although the authors do not present a monolithic viewpoint, a careful reading of all their essays under one cover reveals a glimpse of a new framework by which theory and research may be guided.
Nanotechnology is an emerging and rapidly growing field whose dynamics and prospects pose many great challenges not only to scientists and engineers but also to society at large. This volume includes the state-of-the-art philosophical, ethical, and sociological reflection on nanotechnology, written by leading scholars from the humanities and social sciences in North America and Europe. It unravels the philosophical underpinnings of nanotechnology, its metaphysical and epistemological foundations, and its conceptual complexity. It explores the ethical issues of nanotechnology, its impact on human, environmental, and social conditions, and the options for reasonable risk management. It examines the public discourse on nanotechnology and its related visions and provides both lessons from the past and outlooks for the future.
We ask question after question of an indifferent universe that would just as soon remain mute; and slowly, patiently, one sentence at a time, we write our own version of the book of nature. It is called science, from the Latin word for knowledge, and it is a book everybody should read. With simplicity and elegance, Knowing interprets the book of nature for curious readers of all sorts--but especially for those hoping to appreciate the beauty of physics without getting lost in the mathematics. Indeed, there is a world of scientific understanding in the pages of this gracefully written and inviting book, where hundreds of little diagrams substitute for the equations that physicists otherwise need to tell their tale. Readers will discover the way things work: how big things (like Earth or Moon) come from small things (like quarks and electrons), how tiny particles push and pull, and how the world hangs in the balance. We learn how an "unbiased" observer and a fixed speed of light, nothing else, conjure up E=mc2 and four-dimensional space-time. We see how Newton's clockwork universe of unwavering determination differs (but not in every respect) from Heisenberg's quantum universe of hazy uncertainty. And we see how a world of chaos throws a wrench into everybody's mechanical ideal. From tiny atoms to vast galaxies, the universe is ours to explore and to know: its particles, its interactions, its laws, its unending surprises. Heavily illustrated with explanatory drawings and diagrams--perhaps no other science book for general readers uses diagrams so extensively--Knowing takes us to the edge of modern science, allowing us to peer in further than we would have dreamed possible.
Knowing Reality is a guided introduction to metaphysics and epistemology. Each of the book’s twelve chapters contains extended excerpts from influential historical and contemporary philosophers, as well as a guided exposition of their views and their locations within the logical space of the issues at play. Topics are introduced through engaging thought experiments, with relevant philosophical puzzles sprinkled throughout. Complex issues are explained using down-to-earth examples, with illustrations provided to connect with readers and assist them in understanding the sophisticated concepts under discussion.