Subject Resources: Artificial Intelligence: Print Books

A follow-on volume to Advances in Intelligent and Autonomous Aerospace Systems (AIAA, 2012), Advances in Computational Intelligence and Autonomy for Aerospace Systems seeks to provide both the aerospace researcher and the practicing aerospace engineer with further insight into the latest innovative methods and approaches regarding intelligent and autonomous aerospace systems.

The DARPA Robotics Challenge was a robotics competition that took place in Pomona, California USA in June 2015. The competition was the culmination of 33 months of demanding work by 23 teams and required humanoid robots to perform challenging locomotion and manipulation tasks in a mock disaster site. The challenge was conceived as a response to the Japanese Fukushima nuclear disaster of March 2011. The Fukushima disaster was seen as an ideal candidate for robotic intervention since the risk of exposure to radiation prevented human responders from accessing the site. This volume, edited by Matthew Spenko, Stephen Buerger, and Karl Iagnemma, includes commentary by the organizers, overall analysis of the results, and documentation of the technical efforts of 15 competing teams. The book provides an important record of the successes and failures involved in the DARPA Robotics Challenge and provides guidance for future needs to be addressed by policy makers, funding agencies, and the robotics research community. Many of the papers in this volume were initially published in a series of special issues of the Journal of Field Robotics.

What jobs should be automated? How should our legal systems handle autonomous systems? How likely is the emergence of suprahuman intelligence? A.I. is the future of science, technology, and business--and there is no person better qualified or situated to explore that future than Max Tegmark. What has A.I. brought us? Where will it lead us? The story of A.I. is the story of intelligence--of life processes as they evolve from bacteria (1.0) to humans (2.0), where life processes define their own software, to technology (3.0), where life processes design both their hardware and software. We know that A.I. is transforming work, laws, and weapons, as well as the dark side of computing (hacking and viral sabotage), raising questions that we all need to address: What jobs should be automated? How should our legal systems handle autonomous systems? How likely is the emergence of suprahuman intelligence? Is it possible to control suprahuman intelligence? How do we ensure that the uses of A.I. remain beneficial? These are the issues at the heart of this book and its unique perspective, which seeks a ground apart from techno-skepticism and digital utopia"-- Provided by publisher.
"How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology--and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today's kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn't shy away from the full range of viewpoints or from the most controversial issues--from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

The former world chess champion who played, and lost, against Deep Blue, a supercomputer, in 1997 discusses why he thinks humans should embrace the competition between themselves and machine intelligence.

This book provides a deep insight to which extent further improvement should be envisaged to ensure and improve the sustainable development beyond 2030 (the Sustainable Development Goals is a set of 17 global goals with 169 associated targets which the state community adopted in 2015). As the world, its environment, economy and society is getting more and more technical advanced, it is of high interest to analyze how space and its various applications can support this development. Once the Goals of the "2030 Agenda for Sustainable Development" will be achieved new challenges are waiting. The analysis takes into account a proactive use of artificial intelligence for the development based on space infrastructure. Another important aspect revolves around the economic development which asks for further analysis of the cryptocurrencies relationship with space applications and how to use space based cryptocurrencies for development. Environment-wise the challenges for a sustainable development on Earth i.e. water supply, but also in outer space are requested ensuring a sustainable exploration and exploitation of space and its orbital resources. The book also highlights possible contributions of the post-2030 space industry to global economic development based on satellite technology and the enlargement of the scope of application of satellite data in administration and Justice to ensure development of effective, accountable and transparent institutions at all levels to promote growth, stability and security and peace on global level.

A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered.

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.