A Brief History of Artificial Intelligence:what It Is

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence

Ever wondered about the secrets behind AI's birth, its past challenges, and the limitless possibilities it offers for the future?

Artificial intelligence will shake up our lives as thoroughly as the arrival of the internet. This popular, up-to-date book charts AI’s rise from its Cold War origins to its explosive growth in the 2020s.

Artificial intelligence will shake up our lives as thoroughly as the arrival of the internet. This popular, up-to-date book charts AI’s rise from its Cold War origins to its explosive growth in the 2020s.

This book explores the origins of mathematical analysis in an accessible, clear, and precise manner. Concepts such as function, continuity, and convergence are presented with a unique historical point of view. In part, this is accomplished by investigating the impact of and connections between famous figures, like Newton, Leibniz, Johann Bernoulli, Euler, and more. Of particular note is the treatment of Karl Weierstraß, whose concept of real numbers has been frequently overlooked until now. By providing such a broad yet detailed survey, this book examines how analysis was formed, how it has changed over time, and how it continues to evolve today. A Brief History of Analysis will appeal to a wide audience of students, instructors, and researchers who are interested in discovering new historical perspectives on otherwise familiar mathematical ideas.

This book addresses the history of artificial intelligence through the author’s experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI.

"Brief History of Artificial Intelligence" is an immersive journey through the corridors of time, tracing the intricate evolution of AI from its conceptual inception to the cutting-edge applications defining our contemporary technological landscape.

The history of computing has its origins at the outset of civilization. As towns and communities evolved there was a need for increasingly sophisticated calculations. This book traces the evolution of computation, from early civilisations 3000 B.C. to the latest key developments in modern times.
This useful and lively text provides a comprehensive introduction to the key topics in the history of computing, in an easy-to-follow and concise manner. It covers the significant areas and events in the field - from the ancient Egyptians through to the present day - and both gives the reader a flavour of the history and stimulates further study in the subject.