Outros livros que poderiam interessá-lo

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  DevOps Basics Principles and...

  Tom Henricksen

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  DevOps brings development and operations together for faster releases. In this short guide, we cover the basics and principles of DevOps.  
    
  From there we review some key aspects such as DataOps, DevSecOps, Flow Engineering, and more.Identify the basic principles Understand the DevOps frameworkFind additional practices to bring to your team 
  This is an essential reading for developers and operations professionals in the early stages of DevOps adoption.

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  The Future of the Factory - How...

  Jostein Hauge

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  For centuries, industrialization and factory-based production have been core ingredients in economic growth, development, and innovation. This symbiotic relationship between industrialization and economic prosperity is now changing. "Megatrends"—trends within the domains of technology, economy, society, and ecology that have a global impact—are changing the ability of the manufacturing sector to serve as the engine of growth, changing traditional ideas of technological progress, and changing growth and development opportunities in both the global South and the global North. 
   
   
   
  Four megatrends are particularly worthy of note: the rise of services, digital automation technologies, globalization of production, and ecological breakdown. In this book, Jostein Hauge provides a novel analysis of how these megatrends are changing industrialization, and charts new pathways for industrial policy and global governance. He also offers a wide-ranging account of the role of technology, globalization, and ecology in shaping the world economy. The Future of the Factory shows that industrialization remains a cornerstone of economic prosperity, but that power asymmetries in the world economy create uneven opportunities for achieving economic growth, development, and industrialization.

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  Quiver Don't Quake - How...

  Nadim Sadek

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  In Quiver, don't Quake, Nadim Sadek shows how to partner with Allied Intelligence to amplify - not replace - your imagination. With a maker's voice and a psychologist's clarity, he reframes AI as a creative collaborator, liberating the creativity of all 8 billion people on Earth. 
  Sadek gives you the tools to dance with it. 
  Frameworks: the Spark-Draft-Polish creative loop; the Three C's (Context, Constraint, Conversation); Calibrated Trust. 
  Playbooks and examples from publishing, film, music, games, architecture, medicine, advertising, and education. 
  Processes to avoid slop: bias checks, provenance, ethics, authorship. 
  Tactics to raise your RODE (Ratio of Dream to Effort). 
  A hands-on sandbox project to build a live brand concept in hours. 
  From studios to classrooms and city halls, he shows how The Panthropic – the distilled wisdom of us all - unlocks new voices, workflows and industries. Clear-eyed about bias, ethics and jobs, Sadek offers tools, cases and mindsets to create with confidence. 
  If you create anything, this is your field guide to the new creative alliance.

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  The Ethics of Artificial...

  Craig Dames

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  Artificial Intelligence (AI) is a transformative technology that has evolved from theoretical concepts into practical applications in various sectors. At its core, AI refers to the simulation of human intelligence in machines, enabling them to perform tasks such as learning, reasoning, and problem-solving. These machines are programmed to analyze data, recognize patterns, and make decisions with little or no human intervention. While AI is often associated with futuristic visions of robots and autonomous systems, it is already an integral part of our daily lives, from voice assistants like Siri to recommendation algorithms used by platforms like Netflix and Amazon. 
  The history of AI dates back to ancient times, with early concepts of artificial beings found in mythology and philosophical musings. However, the field of AI as we know it began to take shape in the mid-20th century, with the work of pioneers such as Alan Turing, who proposed the idea of a machine that could simulate any human intelligence. In 1956, the term "Artificial Intelligence" was coined at the Dartmouth Conference, marking the formal beginning of AI research. Since then, AI has gone through cycles of optimism, disappointment, and resurgence, fueled by advances in computer science, mathematics, and data availability. 
  Today, AI is classified into different categories, with two primary types being narrow AI and general AI. Narrow AI refers to systems designed to handle specific tasks, such as facial recognition, language translation, or playing chess. These systems excel in their designated tasks but are limited in their ability to perform functions outside of their programming. In contrast, general AI, still a theoretical concept, refers to machines that possess the capability to understand and reason across a wide range of tasks, much like humans. While narrow AI is already commonplace, general AI remains a subject of intense research and debate within the scientific community.

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  Particle Physics - A Very Short...

  Frank Close

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  Following the discovery of the Higgs boson, Frank Close has produced this major revision to his classic and compelling introduction to the fundamental particles that make up the universe. Frank Close takes us on a journey into the atom to examine known particles such as quarks, electrons, and the ghostly neutrino, and explains the key role and significance of the Higgs boson. Along the way he provides fascinating insights into how discoveries in particle physics have actually been made, and discusses how our picture of the world has been radically revised in the light of these developments. He concludes by looking ahead to new ideas about the mystery of antimatter and massive neutrinos, and to what the next fifty years of research might reveal about the nature of the Higgs field which molds the fundamental particles and forces.

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  Multiverse Theory - The Theories...

  Steff Jaywan

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  Multiverse theory posits the existence of multiple, possibly infinite, universes that exist parallel to our own, collectively forming what is known as the "multiverse." The origins of this theory are rooted in quantum mechanics and cosmology. In 1957, physicist Hugh Everett III proposed the "Many-Worlds Interpretation" of quantum mechanics, suggesting that all possible outcomes of quantum measurements are realized in some "world" or universe, leading to a vast number of parallel universes. In cosmology, theoretical models involving inflation (a rapid expansion of the universe after the Big Bang) suggest that different regions of space could stop inflating at different times, creating separate "bubble universes" with potentially different physical properties. 
    
  There are various types of multiverses proposed by scientists. A Level I multiverse includes regions beyond our observable universe, where regions sufficiently far away might have different physical conditions and histories. A Level II multiverse consists of universes with different physical constants and laws of physics, arising from different inflationary conditions. The Many-Worlds Interpretation of quantum mechanics is considered a Level III multiverse, where every quantum event branches into new universes. A Level IV multiverse encompasses universes with fundamentally different mathematical structures, including all possible mathematical realities.

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