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

This classic MUP text discusses the historical development of science, technology and medicine in Western Europe and North America from the Renaissance to the present. Combining theoretical discussion and empirical illustration, it redefines the geography of science, technology and medicine.

This is the first cross-over book into the history of science written by an historian of economics. It shows how 'history of technology' can be integrated with the history of economic ideas. The analysis combines Cold War history with the history of postwar economics in America and later elsewhere, revealing that the Pax Americana had much to do with abstruse and formal doctrines such as linear programming and game theory. It links the literature on 'cyborg' to economics, an element missing in literature to date. The treatment further calls into question the idea that economics has been immune to postmodern currents, arguing that neoclassical economics has participated in the deconstruction of the integral 'self'. Finally, it argues for an alliance of computational and institutional themes, and challenges the widespread impression that there is nothing else besides American neoclassical economic theory left standing after the demise of Marxism.

"In the seemingly mundane Northern farm of early America and the people who sought to improve its productivity and efficiency, Emily Pawley finds a world rich with innovative practices and marked by a developing interrelationship between scientific knowledge, industrial methods, and capitalism. Agricultural "improvers" became increasingly scientistic, driving tremendous increases in the range and volume of agricultural output-and transforming American conceptions of expertise, success, and exploitation. Pawley's focus on soil, fertilizer, apples, mulberries, agricultural fairs, and experimental stations shows each nominally dull subject to have been an area of intellectual ferment and sharp contestation: mercantile, epistemological, and otherwise"--

These final four Angelhaunt books are at once philosophy and works of art. Ratcliff has created in these four books both poetry and religion, both blasphemy and a completely original cosmology. Ratcliff has looked into himself, found both treasures and terrors, and made works only a madman could create.

This 10-hour free course looked at what ?intelligence? is, how computers may become intelligent, and whether they ever will really be so.