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Human Intelligence vs. Artificial Intelligence. A slim book, but one that is brimming with the future, with a global reach, an enjoyable read that will appeal to a wider audience, not just tech or legal experts. It condenses the thoughts of the author – one of the leading European experts in privacy and data rights – and his reflections on the digital world and its rules. Easy to read in a few short hours, original and politically incorrect, for anyone interested in finding their way in the era of the Internet of Things and Big Data algorithms. This brief book offers a visionary but adept perspective on the scenarios that await us (and that, in part, we are already experiencing): an abridged yet unadulterated, open-minded and, at times, un-PC analysis of our “Destiny 4.0”. A destiny shaped by cold, robotic hyper-rationality, perhaps or... perhaps not. Hence the title: Artificial Insanity, a snipe at the relentless, all-pervading Artificial Intelligence. For a “rule of human law”.
Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
In his book about the discovery of the structure of DNA, James Watson wrote, “So we had lunch, telling ourselves that a structure this beautiful just had to exist.” Indeed, the quest most often asked by scientists about a scientific theory is “Is it beautiful?” Yes, beauty equals truth. Scientists know, mathematicians know. But the beauties, the truths of mathematics and science were not the truths that inspired the author as a child, and he intuitively knew that the truths he needed come from a different way of knowing, a way of knowing not of the world of logic and reason and explanation (though they have a value), but rather a way of knowing that is of the world expression, a world that enters the truths beyond the grasp of logic. That is what this book is all about. It is an exploration of the greatest minds of human existence struggling to understand the deepest truths of the human condition. This second edition updates the previous one, incorporating new publications on Van Gogh, recent discoveries in neurology, psychology, and the rapid developments in understanding DNA and biotechnology. We’ve come a long way already from that original discovery by Watson and his coauthor Francis Crick.
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.
A penetrating look at the dark side of emerging AI technologies In The Language of Deception: Weaponizing Next Generation AI, artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore multiple foundational concepts to include the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past. From these foundations, the author examines topics related to the emerging risks of advanced AI technologies, to include: The use of Large Language Models (LLMs) for social manipulation, disinformation, psychological operations, deception and fraud The implementation of LLMs to construct fully autonomous social engineering systems for targeted attacks or for mass manipulation at scale The technical use of LLMs and the underlying transformer architecture for use in technical weapons systems to include advanced next-generation malware, physical robotics, and even autonomous munition systems Speculative future risks such as the alignment problem, disembodiment attacks, and flash wars. Perfect for tech enthusiasts, cybersecurity specialists, and AI and machine learning professionals, The Language of Deception is an insightful and timely take on an increasingly essential subject.
Artificial Intelligence (AI) encompasses the ability of computers or robots to execute tasks that typically require human capabilities. Such tasks include speech recognition, language translation, decision-making, and visual perception. AI is categorized into narrow AI, artificial general intelligence (AGI), and artificial super intelligence (ASI). AGI aims to match human-level performance across all tasks, while ASI surpasses human intelligence in all areas. Currently, AI focuses on specific tasks, with AGI development largely undisclosed.
The learning Machin can write like Shakespeare yes it can do that but how can do the same wording the same style but create an emotional story or play can it? or humans can like that or any passed away writer can the scientists create text to text deep learning machine learning from all of his production, style, wording, pattern plot, form and his own character it easy to do that right now it is the Eternity. to be or not to be that is the problem
After pursuing an insidious genestealer cult across the sector for years, Chapter Master Caedis of the Blood Drinkers stands ready to destroy the original source of the infection - the vast and mysterious space hulk designated Death of Integrity. However, immediately coming into conflict with both their brothers in the Novamarines Chapter and the priesthood of the Adeptus Mechanicus, the Blood Drinkers must reign in their more aggressive instincts and accept the possibility that the hulk itself may be of value to the Imperium.