Computer Science Technology

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

In The Alchemy of Us, scientist and science writer Ainissa Ramirez examines eight inventions - clocks, steel rails, copper communication cables, photographic film, light bulbs, hard disks, scientific labware, and silicon chips - and reveals how they shaped the human experience. Ramirez tells the stories of the woman who sold time, the inventor who inspired Edison, and the hotheaded undertaker whose invention pointed the way to the computer.

Through an unforgettable cast of characters, Pulitzer Prize-winning author Richard Rhodes explains how wood gave way to coal and coal made room for oil, as we now turn to natural gas, nuclear power, and renewable energy. Rhodes looks back on five centuries of progress, through such influential figures as Queen Elizabeth I, King James I, Benjamin Franklin, Herman Melville, John D. Rockefeller, and Henry Ford.

In The Tech Coup, Marietje Schaake explains how technology companies crept into nearly every corner of our lives and our governments. She takes us beyond the headlines to high-stakes meetings with human rights defenders, business leaders, computer scientists, and politicians to show how technologies have gone from being heralded as utopian to undermining the pillars of our democracies.

Quantum computing has the promise to be the next huge thing in technology. How do we know that? Look at how much the big players in tech are investing in the technology. Quantum Computing For Dummies preps you for the amazing changes that are coming with the world of computing built on the phenomena of quantum mechanics. Need to know what is it and how does it work? This easy-to-understand book breaks it down and answers your most pressing questions.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

Amazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone thinks they know how they got there. Just about everyone is wrong. For all that's been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway. Instead of buying the myths these companies broadcast, Galloway asks fundamental questions.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Steve Jobs called Jony Ive his “spiritual partner at Apple.” The London-born genius was the second-most powerful person at Apple and the creative force who most embodies Jobs’s spirit, the man who designed the products adopted by hundreds of millions the world over: the iPod, iPad, MacBook Air, the iMac G3, and the iPhone.

If artificial intelligence takes over decision-making what, then, is unique and irreplaceable about human intelligence? The Atomic Human is a journey of discovery to the core of what it is to be human, in search of the qualities that cannot be replaced by the machine. Neil Lawrence brings a timely, fresh perspective to this new era, recounting his personal journey to understand the riddle of intelligence. By contrasting our own intelligence with the capabilities of machine intelligence through history, The Atomic Human reveals the technical origins, capabilities, and limitations of AI systems.

ChatGPT is going to forever change how we use the internet. We currently live in a world where businesses are paying hundreds of dollars to people for writing engaging articles and blogs, and thousands of dollars per month for social media marketing and SEO.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

Who invented beds? When did we start cleaning our teeth? How old are wine and beer? Which came first: the toilet seat or toilet paper? What was the first clock? Every day, from the moment our alarm clock wakes us in the morning until our head hits our pillow at night, we all take part in rituals that are millennia old. Structured around one ordinary day, A Million Years in a Day reveals the astonishing origins and development of the daily practices we take for granted.

Leap into AI and turbocharge your productivity in record time, even if you've been resistant to digital transformations! Struggling to keep up with your workload as the to-dos keep piling up? Overwhelmed by the ever-evolving digital workspace? Confused about integrating AI without it becoming a disruption rather than a solution? Don't worry, you're not alone. Millions of busy professionals like you navigate these challenges daily, looking for a digital solution to not only streamline their workflow but also enhance productivity seamlessly.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Regarded as one of the brightest young scientists of his generation, Lewis Dartnell proposes that the key to preserving civilization in an apocalyptic scenario is to provide a quickstart guide, adapted to cataclysmic circumstances. The Knowledge describes many of the modern technologies we employ, but first it explains the fundamentals upon which they are built. The Knowledge is a brilliantly original guide to the fundamentals of science and how it built our modern world as well as a thought experiment about the very idea of scientific knowledge itself.

The User Experience Team of One prescribes a range of approaches that have big impact and take less time and fewer resources than the standard lineup of UX deliverables. Whether you want to cross over into user experience or you're a seasoned practitioner trying to drag your organization forward, this book gives you tools and insight for doing more with less.

The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection, and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook. In Read Write Own, tech visionary Chris Dixon argues that the dream of an open network for fostering creativity and entrepreneurship doesn’t have to die and can, in fact, be saved with blockchain networks.

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

En un presente en el que vivimos rodeadxs de dispositivos inteligentes que intervienen cada vez más en todos los ámbitos de nuestra vida, Naief Yehya plantea un ensayo donde reflexiona sobre la inteligencia artificial, sus alcances, su influencia y hasta su marca en los procesos creativos y de la industria.