Weitere Bücher, die Sie mögen werden

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  Dark AI Deepfake and AGI -...

  Et Tu Code

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  Delve into the shadowy world of Dark AI, Deepfakes, and Artificial General Intelligence (AGI) with this comprehensive guide. 
  Unveil the secrets of Dark AI:Introduction to Dark AI: Explore the definition, characteristics, and potential dangers of Dark AI, the hidden and malicious use of artificial intelligence.Ethical Considerations: Grapple with the complex ethical questions surrounding Dark AI and its impact on society. 
  Demystify the phenomenon of Deepfakes:Origins and History: Trace the evolution of Deepfakes from their inception to their current sophistication.Creation and Detection: Learn how Deepfakes are crafted and uncover crucial methods for recognizing and mitigating their impact.Widespread Uses: Explore the diverse applications of Deepfakes, ranging from entertainment to malicious intent.Future Landscape: Delve into the anticipated advancements, challenges, and regulations surrounding Deepfakes. 
  Prepare for the rise of AGI (Artificial General Intelligence):Understanding AGI: Dive into the concept of AGI, its key features, and the ongoing efforts to achieve it.Building Blocks and Approaches: Demystify the various models and methods employed in the pursuit of AGI.The Road Ahead: Explore the potential challenges, implications, and applications of AGI in the future. 
  This book equips you with the knowledge and insights necessary to navigate the complex and evolving landscape of Dark AI, Deepfakes, and AGI.

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  Circumcision - How an Ancient...

  Kenneth S. Lipman

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  Winner of the Independent Publisher (IPPY) Book Award Gold Medal for health and medicine 
  Winner of the Firebird Book Award for medical nonfiction 
  Nominated for the prestigious Montaigne Medal science award 
  Finalist for the Eric Hoffer Book Award Grand Prize 
  Finalist for the First Horizon Award 
  Every year, millions of baby boys are circumcised, either for purported health benefits, or for religious reasons. This book provides a comprehensive and clear explanation of the risks and rewards of that practice, which has significant effects on sexuality, psychology, and overall health. 
  Drawing on 869 research references and firsthand accounts, Dr. Lipman sheds light on the disparity between traditional views and contemporary medical perspectives. 
  Whether you're a parent contemplating the procedure for your child or an academic in search of an in-depth analysis, Circumcision provides a balanced and factual perspective on this widely performed yet increasingly debated surgery. 
  In this groundbreaking, meticulously rendered book, you will learn: 
  • Why circumcision does not improve a baby's health 
  • Why circumcision does not reduce the incidence of AIDS or urinary tract infections, as is often claimed 
  • The deep financial incentives behind the six billion-dollar circumcision industry 
  • That the pain of circumcision is equivalent to torture, and why anesthesia is rarely used 
  • Circumcision's significant physical and mental health risks, including death 
  • Why both men and women enjoy sex more if the man is uncircumcised 
  • That adherents to Judaism or Islam may not be required to ritually circumcise their child, as is often thought 
  • The history of circumcision 
  • The ethics and legality of circumcision 
  • Why America is the only country in the world with a high rate of medical circumcision

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  The Art of Machine Learning -...

  Craig Dames

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  Machine learning is a subset of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. It is a field that has grown significantly over the past few decades, revolutionizing industries such as healthcare, finance, and technology. By leveraging algorithms and statistical models, machine learning systems can identify patterns, make predictions, and continuously improve their performance. 
  The foundation of machine learning lies in data. Without data, machine learning models cannot function effectively. Data can come in various forms, including structured numerical data, unstructured text, images, and audio. The process of training a machine learning model involves feeding it large amounts of data, allowing it to recognize relationships and make informed predictions. 
  Machine learning is broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where it learns to map inputs to outputs based on example pairs. This approach is commonly used in applications such as email spam detection and medical diagnosis. Unsupervised learning, on the other hand, deals with data that lacks labels. The model identifies patterns and structures within the data without prior guidance, making it useful for tasks like customer segmentation and anomaly detection. Reinforcement learning is a more dynamic approach where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. This technique is widely used in robotics and game development.

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  Thin Places - A Natural History...

  Kerri ní Dochartaigh

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  Kerri ní Dochartaigh was born in Derry, on the border of the North and South of Ireland, at the very height of the Troubles. She was brought up on a council estate on the wrong side of town—although for her family, and many others, there was no right side. One parent was Catholic, the other was Protestant. In the space of one year, they were forced out of two homes. When she was eleven, a homemade bomb was thrown through her bedroom window. Terror was in the very fabric of the city, and for families like ní Dochartaigh's, the ones who fell between the cracks of identity, it seemed there was no escape. 
   
   
   
  In Thin Places, a luminous blend of memoir, history, and nature writing, ní Dochartaigh explores how nature kept her sane and helped her heal, how violence and poverty are never more than a stone's throw from beauty and hope, and how we are, once again, allowing our borders to become hard and terror to creep back in. Ní Dochartaigh asks us to reclaim our landscape through language and study, and remember that the land we fight over is much more than lines on a map. It will always be ours, but—at the same time—it never really was.

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  How to use Pinterest

  Shawn Jones

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  Learn how to use Pinterest.

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  The RoboSphere - Robots Among...

  Zoe Carter

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  Get ready for an exciting trip into the future with "The RoboSphere: Robots Among Us - Insights into the World of Robotics and Automation." This book is your pass to a fantastic investigation into robotics's state-of-the-art discoveries and life-changing effects. 
  Explore the intriguing history of robotics, from mechanical devices to the intelligent machines that are a seamless part of our everyday lives. "Robots Among Us" appeals to science buffs, tech enthusiasts, and anybody who wants to learn more about the quickly changing field of automation. Whether you're a seasoned expert or a curious beginner, this book is designed to be accessible and engaging for all levels of technical knowledge. 
  Learn about the nuances of critical elements, categories, and the range of robots that coexist in our environments today. This book explores the worlds of possibility and potential, from industrial applications reshaping the manufacturing landscape to service robots improving our everyday lives, igniting curiosity about the significant consequences of these intelligent machines.

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