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Looks at the details of everyday life in the past.
A first of four volumes collecting the Pulitzer Prize- and Academy Award-winning cartoonist's Village Voice strips reflects the political and cultural arenas of the mid-twentieth century and tackles a wide range of topics, from the Eisenhower administration and McCarthyism to the Cold War and the impending civil rights era.
The creator of the popular webcomic "xkcd" uses line drawings and just ten hundred common words to provide simple explanations for how things work, including microwaves, bridges, tectonic plates, the solar system, the periodic table, helicopters, and other essential concepts.
Ever wondered how vaccines work, why whales strand themselves or if luck exists? The Explainer: From Déjà Vu to Why the Sky Is Blue, and Other Conundrums is a collection of around 100 of the best articles published in ‘The Explainer’ and ‘Monday’s Medical Myths’ sections of The Conversation. The book answers questions on everyone's mind about a diverse range of topics, abstract concepts, and popular and hard core science. Sections include: animals and agriculture, body, climate and energy, medical myths, mind and brain, research and technology, and more. Expert authors combine facts, analysis, new ideas and enthusiasm to make often challenging topics highly readable in just a few short pages. This book is for the curious, those with a thirst for answers, and those with a fascination of how phenomena, new technologies and current issues in our daily lives work.
Fifty of the world’s most creative people share their stories and inspirations in this volume created by the Exploratorium science museum. What do music visionary Brian Eno, kinetic sculptor Theo Jansen, science writer Mary Roach, Mythbuster Adam Savage, and Pulitzer-winning journalist Thomas Friedman have in common? They are all game-changers: scientists, artists, entertainers, and activists who revolutionized their fields with bold new perspectives and approaches—and they all had transformative, course-setting experiences at the Exploratorium science museum, the San Francisco landmark visited by a million people a year in person and by millions more online. Join them and forty-five more brilliant thinkers and doers in a wonderfully playful, insightful, and sometimes incredibly moving journey to see how you, too, can harness your powers of observation, inquiry, and engagement to be the change you want to see in the world—regardless of who you are or what you do. Interviewees and subjects include: Oscar-Winning Sound Designer Walter Murch on observation Laurie Anderson on art as a way of knowing Memory Expert Elizabeth Loftus on how we learn Oliver Sacks on perception Mary Roach on how she learned to ask the right questions Adam Savage on the fun of finding things out Mickey Hart on the art of playing to learn, and learning to play California Governor Gavin Newsom on the importance of science Community activist Randy Carter on finding joy in the worst of places . . . and dozens more interviews, insights, and activities suggested by artists, scientists, poets, and politicians, in a book that can help you become more creative—and maybe just change the world.
This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: ​ Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
Grade level: 1, 2, 3, p, e.