Other books that might interest you

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  Destructive Artificial...

  Marcus Klein

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  Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century, revolutionizing industries, economies, and even societies. Its capabilities have extended far beyond the realm of science fiction, introducing tools that can analyze vast amounts of data, predict outcomes, and perform tasks with unprecedented efficiency. Yet, as with any powerful technology, the rapid development of AI also raises profound ethical, social, and economic questions, creating a paradox that we must carefully navigate. 
    
  At its core, AI is a reflection of human ambition: the desire to push the boundaries of what is possible and to solve complex problems that were once beyond our reach. From self-driving cars to medical diagnosis systems, AI has the potential to greatly enhance human life. In healthcare, for example, AI is helping doctors diagnose diseases with greater accuracy, while in education, personalized learning systems are adapting to the needs of individual students. AI can streamline processes, optimize productivity, and unlock innovations that would have seemed impossible just decades ago. 
    
  However, as AI becomes more integrated into daily life, the darker aspects of its potential also come to the forefront. The very features that make AI so useful—its ability to process data at speeds far exceeding human capacity—also pose risks. One of the most pressing concerns is privacy. With AI's increasing ability to collect and analyze vast amounts of personal data, questions arise about who owns this data and how it is being used. From facial recognition technologies to predictive algorithms, AI systems can potentially infringe on our privacy and autonomy in ways that were previously unimaginable.

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  Global hydrogen trade to meet...

  Irena International Renewable...

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  The report covers transformation from gaseous hydrogen to a suitable form to allow its transport and storage, its use in the process of transportation itself and its reconversion from the carrier back to pure hydrogen.

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  Leaders Make the Future Third...

  Bob Johansen, Jeremy Kirshbaum,...

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  Over the next decade, all leaders will be augmented with some form of generative artificial intelligence, or GenAI. For the best leaders, this will mean dramatic improvement. For mediocre leaders, this will mean persistent confusion, distraction, and pretense. With futureback thinking—looking ten years ahead, then planning backward from future to next to now—this third edition of Leaders Make the Future shows how people can improve their leadership skills while expanding their human perspective. 
   
   
   
  Now 75 percent revised and expanded with resources from the Institute for the Future, this new edition is organized around ten future leadership skills: augmented futureback curiosity, augmented clarity, augmented dilemma flipping, augmented bio-engaging, augmented immersive learning, augmented depolarizing, augmented commons creating, augmented smart mob swarming, augmented strength with humility, and human calming. 
   
   
   
  AI-augmented leadership will be key for any organization to tackle the uncertainty of the future. And by incorporating practical methodologies, ethical guidelines, and innovative leadership practices, this book will help leaders develop their clarity and moderate their certainty.

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  Water Borne - A 1200-Mile...

  Dan Rubinstein

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  In June 2023, writer Dan Rubinstein lashed camping gear to his stand-up paddleboard and embarked on an improbable solo voyage from Ottawa to Montreal, New York City, Toronto, and back to Ottawa along the rivers, lakes, and canals of a landlocked region. Over 1,200 miles and 10 weeks, he explored the healing potential of “blue space” — the aquatic equivalent of green space — and sought out others drawn to their local waters.
  		 
  But the farther Rubinstein paddled, the more he realized that being in, on, or around water does more than boost our mental and physical health and prompt stewardship toward the natural world. He discovered that blue spaces are also a way to connect with the kaleidoscopic cross-section of people he met and the diverse geographies and communities he passed through.
  		 
  Weaving together research, interviews, and an unmacho, malodorous, anticolonial adventure tale, Water Borne shows us that we don’t need an epic journey to find solutions to so many modern challenges. Repair and renewal may be close at hand: just add water.

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  Data Analysis for Beginners -...

  Daniel Garfield

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  Embark on a transformative journey into the world of data analysis with Daniel Garfield as your guide in "Data Analysis for Beginners." In this comprehensive and accessible guide, Daniel demystifies the complexities of data analysis, making it an engaging and empowering experience for readers at all skill levels. 
  Have you ever wondered how data can drive decision-making in business, science, or everyday life? Daniel begins by introducing the fundamental concepts of data analysis, breaking down the barriers that often intimidate beginners. From the basics of statistical analysis to the application of machine learning, Daniel ensures that every reader can grasp the essentials. 
  Discover the tools of the trade, from familiar ones like Excel to more powerful platforms like Python and R. Learn the art of collecting and organizing data, recognizing the importance of clean and structured datasets. Through hands-on examples, Daniel walks you through the steps of setting up your data environment, empowering you to tackle your own data challenges. 
  Uncover the power of exploratory data analysis (EDA) as you dive into the world of data visualization, identifying patterns and trends that lie hidden in your datasets. Daniel emphasizes practical applications, providing insights into how businesses leverage machine learning and guiding you through the process of building your first data analysis project. 
  "Data Analysis for Beginners" is your key to unlocking the secrets hidden within the numbers. With Daniel Garfield as your mentor, embark on a journey that will transform the way you see and interpret data. Start your data analysis adventure today!

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  AI Frameworks - An In-Depth...

  May Sherry

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  "AI Frameworks: An In-Depth Guide to Building, Optimizing, and Deploying Intelligent Systems Using Leading Tools and Techniques." This comprehensive guide is designed for AI practitioners, data scientists, and developers who want to master the tools and techniques essential for creating cutting-edge AI solutions. 
  In this book, you'll delve deep into the world of AI frameworks, exploring the fundamental concepts and advanced features that drive modern AI development. The guide covers: 
  "AI Frameworks" is not just a guide; it's your roadmap to mastering the art of AI development and driving impactful innovation in the rapidly evolving field of artificial intelligence. 
   

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