Artificial Intelligence And Evolution

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Author : Junling Hu
Genre : Computers

Summary : Artificial intelligence is rapidly transforming lives from workplace to home, from jobs to recreation. The author provides the knowledge needed to understand what is happening in the AI world, what future jobs will look like, and what upcoming trends and products to expect.

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Author : Saswat Sarangi
Genre : Political Science

Summary : What will the future be? A dystopian landscape controlled by machines or a brave new world full of possibilities? Perhaps the answer lies with Artificial Intelligence (AI)—a phenomenon much beyond technology that has, continues to, and will shape lives in ways we do not understand yet. This book traces the evolution of AI in contemporary history. It analyses how AI is primarily being driven by "capital" as the only "factor of production" and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights. A tract for the times, this volume will be a major intervention in an area that is heavily debated but rarely understood. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science. It will also be key reading for policy makers, cyber experts and bureaucrats.

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Author : Xin-She Yang
Genre : Technology & Engineering

Summary : Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

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Author :
Genre : Computers

Summary : ARTIFICIAL INTELLIGENCE. Origin, Evolution, and the Human–Machine Interface. Artificial Intelligence (AI) has progressed from a conceptual framework in computer science to a practical technology influencing research, healthcare, industry, and everyday life. Advances in computational capacity, data-driven models, and learning algorithms have enabled intelligent systems to analyse complex information, recognize patterns, and support decision-making processes across multiple domains. A defining element of this transformation is the human–machine interface, where automated intelligence intersects with human judgment, responsibility, and ethical oversight. As AI systems increasingly assist in analytical and operational tasks, understanding this interaction becomes essential for responsible and effective integration. It is strived in this E-Booklet to present structured exploration of the origin and evolution of artificial intelligence, with particular emphasis on its interaction with human-cantered systems. The chapters that follow examine foundational concepts, technological advancements, and emerging perspectives, inviting readers to engage more deeply with the scientific and societal dimensions of AI. Dr. H. K. Saboowala, M.B., B.S.(Bom) M.R.S.H.(London)F.F.M.(UK)

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Author : Max S. Bennett
Genre : History

Summary : “I found this book amazing. I read it through quickly because it was so interesting, then turned around and read much of it again.”—Daniel Kahneman, winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow “I've been recommending A Brief History of Intelligence to everyone I know. A truly novel, beautifully crafted thesis on what intelligence is and how it has developed since the dawn of life itself."—Angela Duckworth, bestselling author of Grit Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five “breakthroughs” in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow. In the last decade, capabilities of artificial intelligence that had long been the realm of science fiction have, for the first time, become our reality. AI is now able to produce original art, identify tumors in pictures, and even steer our cars. And yet, large gaps remain in what modern AI systems can achieve—indeed, human brains still easily perform intellectual feats that we can’t replicate in AI systems. How is it possible that AI can beat a grandmaster at chess but can’t effectively load a dishwasher? As AI entrepreneur Max Bennett compellingly argues, finding the answer requires diving into the billion-year history of how the human brain evolved; a history filled with countless half-starts, calamities, and clever innovations. Not only do our brains have a story to tell—the future of AI may depend on it. Now, in A Brief History of Intelligence, Bennett bridges the gap between neuroscience and AI to tell the brain’s evolutionary story, revealing how understanding that story can help shape the next generation of AI breakthroughs. Deploying a fresh perspective and working with the support of many top minds in neuroscience, Bennett consolidates this immense history into an approachable new framework, identifying the “Five Breakthroughs” that mark the brain’s most important evolutionary leaps forward. Each breakthrough brings new insight into the biggest mysteries of human intelligence. Containing fascinating corollaries to developments in AI, A Brief History of Intelligence shows where current AI systems have matched or surpassed our brains, as well as where AI systems still fall short. Simply put, until AI systems successfully replicate each part of our brain’s long journey, AI systems will fail to exhibit human-like intelligence. Endorsed and lauded by many of the top neuroscientists in the field today, Bennett’s work synthesizes the most relevant scientific knowledge and cutting-edge research into an easy-to-understand and riveting evolutionary story. With sweeping scope and stunning insights, A Brief History of Intelligence proves that understanding the arc of our brain’s history can unlock the tools for successfully navigating our technological future.

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Author : David Jefferis
Genre : Juvenile Nonfiction

Summary : Artificial Intelligence opens up the fantastic world of cutting edge robot technology to young readers from their appearance in early science fiction to their use today in communication, finance, entertainment, and the environment. The ethical pros and cons of technological advancement are considered and a helpful glossary explains scientific terms and concepts.

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Author : Miltiadis D. Lytras
Genre : Education

Summary : The Evolution of Artificial Intelligence in Higher Education is a comprehensive guide to the transformative potential of AI in the higher education landscape, focused on the need to nurture technology literacy among educators and learners.