Outros livros que poderiam interessá-lo

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  The Elements of Marie Curie -...

  Dava Sobel

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  The acclaimed Pulitzer Prize finalist and #1 New York Times bestselling author of Galileo’s Daughter crafts a luminous chronicle of the most famous woman in the history of science, and the untold story of the remarkable young women trained in her laboratory 
   
  “Even now, nearly a century after her death, Marie Curie remains the only female scientist most people can name,” writes Dava Sobel at the opening of her shining portrait of the sole Nobel laureate decorated in two separate fields of science—Physics in 1903 with her husband, Pierre, and Chemistry by herself in 1911. And yet, as brilliant and creative as she was in the laboratory, Marie Curie was equally memorable outside it. Grieving Pierre’s untimely death in 1906, she took his place as professor of physics at the Sorbonne, devotedly raised two brilliant daughters, drove a van she outfitted with X-ray equipment to the front lines of World War I, befriended Albert Einstein and other luminaries of twentieth-century physics, won support from two US presidents, and inspired generations of young women to pursue science as a way of life.  
   
  As Sobel did so masterfully in her portrait of Galileo through the prism of his daughter, she approaches Marie Curie from a unique angle, narrating her remarkable life of discovery and fame alongside the women who became her legacy—from France’s Marguerite Perey, who discovered the element francium, and Norway’s Ellen Gleditsch, to Mme. Curie’s elder daughter, Irène, winner of the 1935 Nobel Prize in Chemistry. For decades the only woman in the room at international scientific gatherings that probed new theories about the interior of the atom, Marie Curie traveled far and wide, despite constant illness, to share the secrets of radioactivity, a term she coined. Her two triumphant tours of the United States won her admirers for her modesty even as she was mobbed at every stop; her daughters, in Ève’s later recollection, “discovered all at once what the retiring woman with whom they had always lived meant to the world.” 
   
  With the consummate skill that made bestsellers of Longitude and Galileo’s Daughter, and the appreciation for women in science at the heart of The Glass Universe, Dava Sobel has authored a radiant biography and a masterpiece of storytelling, illuminating the life and enduring influence of one of the most consequential figures of our time.

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  Python Machine Learning for...

  Brian Murray

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  "Python Machine Learning Essentials: 3 in 1 Guide" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

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  Radiolab Greatest Hits Vol 1 -...

  Lulu Miller, Latif Nasser

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  Radiolab is one of the most popular and longest-running shows produced by WNYC, with over 2 million weekly listeners across public radio and podcasting.  
  Radiolab is on a curiosity bender. We ask deep questions and use investigative journalism to get the answers. A given episode might whirl you through science, legal history, and into the home of someone halfway across the world. The show is known for innovative sound design, smashing information into music. It is hosted by Lulu Miller and Latif Nasser. 
  VOLUME 1: MEMORY 
  “A 4-Track Mind” - A neurologist issues a dare to a ragtime piano player and a famous conductor. When the two men face off in an fMRI machine, the challenge is so difficult that one man instantly gives up. But the other achieves a musical feat that ought to be impossible. 
  “Memory and Forgetting” - Remembering is an unstable and profoundly unreliable process. Oliver Sacks joins us to tell the story of an amnesiac whose love for his wife and music transcend his seven-second memory. 
  “Finding Emilie” - Susan Gossiaux describes her daughter Emilie and the terrible phone call she received from Emilie’s boyfriend, Alan Lundgard. Susan and Alan tell about the devastating fork in the road that left Emilie lost in a netherworld, and how Alan found her again. 
  “Right to Be Forgotten” - In online news, stories live forever. The tipsy photograph of you at the college football game? It’s there. A charge for driving under the influence? That’s there, too. But what if … it wasn’t?  
  “Vanishing Words” - Agatha Christie’s clever detective novels may reveal more about the inner workings of the human mind than she intended. In this podcast, we look at what scientists uncover when they treat words like data.

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  The Graphene Bridge - Unlocking...

  Kireet Kokala, Supantha Banerjee

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  The Graphene Bridge: AI, Quantum Computing, and the Future of Innovation Graphene is one of the most extraordinary materials ever discovered, with the potential to reshape industries, power next-generation Artificial Intelligence, and revolutionize quantum computing. Unlocking its full potential requires bridging the gaps between cutting-edge science, technological advancement, and real-world application. The Graphene Bridge explores the intersection of graphene, artificial intelligence, quantum cryptography, and atomic batteries, blending scientific exploration with thrilling storytelling. Through a mix of real-world advancements and speculative fiction, this book provides an in-depth look at how graphene’s unmatched conductivity, strength, and flexibility could drive breakthroughs in cybersecurity, energy storage, and computing. Ethical dilemmas, security concerns, and global power struggles will shape the adoption of these transformative technologies, and understanding them is critical for those who want to stay ahead of the curve. Written for technology enthusiasts, business leaders, and forward-thinkers, The Graphene Bridge is both an eye-opening introduction to graphene’s possibilities and a compelling exploration of the future it may create. Readers will gain valuable insights into the forces driving innovation, the risks that come with progress, and the profound impact these advancements will have on society.

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  My Manager Is a Dashboard: AI...

  Stephen Patrick Sullivan

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  A funny, sharp, and slightly unhinged field guide to the agentic workplace. 
  AI agents are not just chatbots. The moment you give a model permissions, you give it authority. And once authority shows up, your organization does what it always does. It measures everything that moves, logs every breath, builds dashboards like emotional support animals, and starts managing humans by whatever the dashboard can count. 
  Meet Team Space Otter, the builders and shippers. Team Goth Koala, risk and compliance. Trash Panda Prime, ops and incident response. Neon Cactus, product and roadmaps. Glitter Kraken, data and dashboards. Laser Possum, weekend builders and experimenters. They are not real departments. They are archetypes. If you have worked in a company larger than a lemonade stand, you already know them. 
  This is the Tuesday version of AI. Not sci fi. Not hype. The part nobody puts on the slide deck. 
  Your new coworker is a bot. Your new manager is a dashboard. Good luck.

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  Explainable AI - Demystifying AI...

  James Ferry

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  In an era where artificial intelligence (AI) shapes critical decisions in healthcare, finance, law, and beyond, understanding how AI arrives at its conclusions is paramount. "Explainable AI: Demystifying AI Decisions" is an essential guide that unveils the inner workings of AI models, making them transparent and understandable to all. 
  Authored by experts at the forefront of AI research and application, this book demystifies the complex algorithms that underpin modern AI systems. It introduces readers to the core principles of Explainable AI (XAI) — transparency, interpretability, accountability, and fairness — and illustrates how these principles ensure AI decisions align with ethical standards and regulatory requirements. 
  Through practical examples and case studies, "Explainable AI" equips readers with the tools to:Understand AI Decisions: Explore how AI models make predictions and recommendations, breaking down the process into comprehensible steps.Detect and Mitigate Bias: Learn techniques for identifying biases within AI systems and strategies to mitigate them, promoting fairness and equity.Enhance Trust and Accountability: Gain insights into how transparency and interpretability foster trust among users, stakeholders, and the broader community.Navigate Ethical Challenges: Address ethical considerations in AI development, including privacy, consent, and the societal impact of AI technologies. 
  "Explainable AI" provides invaluable knowledge and practical guidance. It empowers readers to harness the potential of AI responsibly, ensuring that AI technologies benefit society while upholding ethical standards and transparency. 
   

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