Automous
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Autonomous
'Autonomous is to biotech and AI what Neuromancer was to the internet' NEAL STEPHENSON 'Something genuinely and thrillingly new' WILLIAM GIBSON 'Holy hell. Autonomous is remarkable' LAUREN BEUKES WINNER OF THE 2018 LAMBDA AWARD FOR SFF SHORTLISTED FOR THE NEBULA AWARD 2018 SHORTLISTED FOR THE LOCUS AWARD FOR BEST DEBUT 2018 Earth, 2144. Jack is an anti-patent scientist turned drug pirate, traversing the world in a submarine as a pharmaceutical Robin Hood, fabricating cheap medicines for those who can't otherwise afford them. But her latest drug hack has left a trail of lethal overdoses as people become addicted to their work, doing repetitive tasks until they become unsafe or insane. Hot on her trail is an unlikely pair: Eliasz, a brooding military agent, and his indentured robotic partner, Paladin. As they race to stop information about the sinister origins of Jack's drug from getting out, they begin to form an uncommonly close bond that neither of them fully understands. And underlying it all is one fundamental question: is freedom possible in a culture where everything, even people, can be owned?
Autonomous Intelligent Vehicles
Author: Hong Cheng
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-11-15
This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.
Building Autonomous Learners
This edited work presents a collection of papers on motivation research in education around the globe. Pursuing a uniquely international approach, it also features selected research studies conducted in Singapore under the auspices of the Motivation in Educational Research Lab, National Institute of Education, Singapore. A total of 15 chapters include some of the latest findings on theory and practical applications alike, prepared by internationally respected researchers in the field of motivation research in education. Each author provides his/her perspective and practical strategies on how to maximize motivation in the classroom. Individual chapters focus on theoretical and practical considerations, parental involvement, teachers’ motivation, ways to create a self-motivating classroom, use of ICT, and nurturing a passion for learning. The book will appeal to several different audiences: firstly, policymakers in education, school leaders and teachers will find it a valuable resource. Secondly, it offers a helpful guide for researchers and teacher educators in pre-service and postgraduate teacher education programmes. And thirdly, parents who want to help their children pursue lifelong learning will benefit from reading this book.