Otros libros que te pueden interesar

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  Evolution Is Wrong - A Radical...

  Erich von Däniken

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  A Fascinating Exploration on Why the Darwinists’ Theory No Longer Explains EverythingThere was once a set of ideas called the theory of evolution, conceived by clever people and confirmed by countless scientists. Then people discovered the electron microscope. This made it possible to make the molecules within the cell visible, and suddenly questions about evolution arose that were not possible before. Which force actually bundles the atoms in the right order? What moves the molecular chains into the correct position? How did the first living unit within the cell actually come about? How does inheritance work, how does information pass on to the next generation? Did humans descend only and exclusively from primates—as Charles Darwin and countless other great minds assumed—or did additional “engines” intervene in evolution? Today it is clear: countless questions can no longer be answered with the previous theory of evolution. There is a form of life called “Blob” (Physarum polycephalum). The “thing” has neither eyes nor ears, neither a mouth nor a nose or even a brain. Nevertheless, it takes in food, overcomes obstacles by the shortest route and exchanges information with other “blobs.” The “blob” contradicts any evolutionary thought that one develops from the other. Or the “gastric-brooding frogs” (Rheobatrachus) found in Australia. They hatch their young in the stomach. Impossible in a slow, evolutionary process. Everywhere there are characteristics of animals that do not want to fit into the theory of evolution anywhere. And man? Are we really the most adapted life-form on this planet? Today, more and more scientists who contradict the previous theory of evolution speak out. The theory fits the changes within the species, but it can no longer be reconciled with the inner workings of the cell. Some other influence that has so far escaped us is affecting evolution. It is called “Intelligent Design.” Intelligent planning is suspected behind this. Anyone or anything—a spirit of the universe? Aliens?—could be behind this planning. Erich von Däniken uses countless examples to demonstrate the impossibility of the previous evolutionary idea. He quotes scientists who argue against the previous teaching, but also those who defend it. Unfortunately, established science still refuses to look at discrepancies and holes in the theory of evolution, even though it is quite obvious that there is more going on with regard to the development of all species, as well as human culture, than could be explained by the theory of evolution alone.

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  High-performance Computing -...

  Connor Williams

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  High-performance computing (HPC) is a critical field in modern computing, enabling the processing of large amounts of data and complex computations that were once impossible. In "Understanding High-Performance Computing and Supercomputing: The Advancements, Applications, and Future of Computing Power," readers will gain a comprehensive understanding of the principles, technologies, and applications of HPC and supercomputing. 
  This book explores the history of HPC and its evolution into modern supercomputing, providing a deep understanding of the underlying technology, architecture, and software. It covers key topics such as parallel computing, distributed systems, GPU computing, and quantum computing. 
  The book also examines the many applications of HPC, including weather forecasting, scientific simulations, drug discovery, and financial modeling. It delves into the use of HPC in various industries, such as aerospace, healthcare, and entertainment, and explores how HPC is shaping the future of technology. 
  Readers will gain insight into the current state of the industry, with a discussion of the latest advancements and trends in HPC. They will also learn about the future of HPC, including emerging technologies and challenges to be overcome. 
  "Understanding High-Performance Computing and Supercomputing" is an essential resource for students, researchers, and professionals in computer science, engineering, mathematics, and other fields. It offers a comprehensive and in-depth understanding of HPC, providing readers with the knowledge they need to contribute to this critical field. 
   

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  Summary and Discussions of The...

  wizer

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  Note: This is a Summary and Discussions of The Real Anthony Fauci By Robert F. Kennedy Jr.: Bill Gates, Big Pharma, and the Global War on Democracy and Public Health.Learn Key Concepts for Your Self-Development or Discussion Group in 15 Minutes Without Missing the Highlights... Guaranteed!Don't Have Time to Read? 
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  Breaking Through Bytes - Women...

  Kelly Vero

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  Breaking Through Bytes celebrates the indomitable spirit of women who redefined technology. The book provides vivid portraits of eighteen female pioneers who cracked the digital code, women who dared to question, create and conquer, describing the evolution of technology through an inspiring lens. 
   
  The book spans millennia, tracing the impact of trailblazing women in technology. In early chapters, meet historical figures from the first century to the early 1800s, whose contributions laid the groundwork for today's advancements. Dive into stories of mixed digital artist Thea Baumann, actress and inventor Hedy Lamarr, and pioneering programmer Betty Snyder alongside virtual reality specialist Claire Blackshaw. Discover modern innovators like Kayleigh Oliver, a woman of color waving the flag for programming all whilst balancing motherhood and tech, and Rocio Evenett, a fashion technologist revolutionizing the supply chain. 
   
  Breaking Through Bytes uniquely explores women's contributions to STEM and digital technologies, focusing on underrepresented innovators across the centuries. It blends detailed technical achievements with personal stories to inspire readers interested in the history of technology, gender diversity, and modern digital innovations.

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  The Geometry of Change

  Santiago Machain

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  The Geometry of Change is a field guide to building models that are both honest about complexity and useful in practice. It connects three pillars—how systems work (mechanisms), how we encode them (models), and how we learn from the world (measurement)—into a coherent workflow for decision-making. Beginning with why we model at all, it explores growth patterns and limits, stochasticity and structure, interactions and spread, spatial and metapopulation thinking, and the challenges of fitting parameters from real data. It then turns to interpreting signals—trends, cycles, and regimes—showing how to separate what persists from what repeats and what truly changes the rules. Throughout, it emphasizes calibration, uncertainty, fairness, and governance, translating technical craft into operational playbooks and ethics-aware practices. The result is a practical, human-centered approach to turning data into insight, and insight into action, across ecological, urban, digital, and organizational systems.

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  Building Your Own Large Language...

  Et Tu Code

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  Building Your Own Large Language Model: A Step-by-Step Guide is your comprehensive roadmap to crafting custom language models tailored to diverse applications. 
  From laying the groundwork in Language Model Development Fundamentals to navigating through Essential NLP Concepts and Framework Selection, each step is meticulously detailed to ensure mastery. You'll learn the art of Data Collection and Preprocessing, crucial for gathering and refining training data, followed by the craft of Scalable Model Architecture Design. Training and Fine-Tuning Strategies guide you through efficiently honing your model's capabilities, while Performance Evaluation and Validation ensure accuracy. Model Deployment integrates your creation seamlessly into real-world applications like chatbots or language translation tools, while Task-Specific Fine-Tuning customizes it for sentiment analysis or text summarization. Ethical Considerations address biases and ethical concerns, while Performance Optimization techniques enhance efficiency. Through Exploration of Large Language Models, you'll grasp the landscape's nuances, preparing for Application Integration and Scaling with Distributed Training. Continuous Improvement methodologies, coupled with a focus on Interpretability and a glimpse into Future Trends, equip you for ongoing success. Real-world Case Studies provide practical insights, and Community Engagement fosters collaboration. 
  Concluding with key takeaways and recommendations, this guide propels you into the dynamic realm of large language model development with confidence and clarity. 🚀

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