Computer Science Technology

Paper is one of the simplest and most essential pieces of human technology. For the past two millennia, the ability to produce it in ever more efficient ways has supported the proliferation of literacy, media, religion, education, commerce, and art; it has formed the foundation of civilizations, promoting revolutions and restoring stability.

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

Skyrim, with its in-depth world building and talented design, didn't just happen overnight. It took years of planning and hard work. But every game designer started where you are now. Find out how you can get started in game design.

Unlock Faster Growth, Smarter Decisions, and Effortless Productivity Using AI Even If You’re Not Technical Stuck doing work that AI could already handle for you, if only you knew how to use it properly? Do marketing, sales, or customer-support tasks drain your time because you don’t know where AI actually works (and where it fails)? Have you tried AI tools before, only to get bland output, generic content, and zero real business impact?

Clarence L. "Kelly" Johnson led the design of such crucial aircraft as the P-38 and Constellation, but he will be more remembered for the U-2 and SR-71 spy planes. His extraordinary leadership of the Lockheed "Skunk Works" cemented his reputation as a legendary figure in American aerospace management.

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.

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze - remember when it seemed plausible that IBM's Watson could cure cancer? - to explain how businesses can put artificial intelligence to work now, in the real world.

The Mobile Wave argues that the changes brought by mobile computing are so big and widespread that it’s impossible for us to see it all, even though we are all immersed in it. Saylor explains that the current generation of mobile smart phones and tablet computers has set the stage to become the universal computing platform for the world. In the hands of billions of people and accessible anywhere and anytime, mobile computers are poised to become an appendage of the human being and an essential tool for modern life.

Are you ready to ride the AI wave and build real income from scratch? Whether you're a total beginner or a curious entrepreneur, AI Income Explosion gives you the exact blueprint to launch, scale, and profit — fast. This isn’t theory. It’s a step-by-step guide packed with proven strategies, automation tools, and income systems you can start using today.

The world has never been so unstable. Now, more than ever, we need to understand our history, learn from our mistakes, and embrace science and technology as we push into the future. In his debut book, New Thinking: The Technology and Science That Transformed Our World, Dagogo Altraide of YouTube's ColdFusion breaks down the history of gamechanger breakthroughs in the world of science and technology that have shaped our modern world and will impact the future.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Gene Kranz was present at the creation of America's manned space program and was a key player in it for three decades. As a flight director in NASA's Mission Control, Kranz witnessed firsthand the making of history. He participated in the space program from the early days of the Mercury program to the last Apollo mission, and beyond. He endured the disastrous first years when rockets blew up and the United States seemed to fall further behind the Soviet Union in the space race.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

An entertaining, scientifically rigorous exploration of the social and biological effects of our wireless world. The way we use technology is affecting our health and happiness. Engaging and entertaining yet scientifically rigorous, this fully revised and updated second edition of i-Minds comprehensively explores an era of screen-based technology's assimilation into our lives, pondering it as both godsend and plague. i-Minds is for anyone interested in fostering health and happiness or who is struggling with the role of screened technology in our lives.

Law today is incomplete, inaccessible, unclear, underdeveloped, and often perplexing to those whom it affects. In The Legal Singularity, Abdi Aidid and Benjamin Alarie argue that the proliferation of artificial intelligence-enabled technology–and specifically the advent of legal prediction–is on the verge of radically reconfiguring the law, our institutions, and our society for the better.

In the age of artificial intelligence, drafting an essay is as simple as typing a prompt and pressing enter. What does this mean for the art of writing? According to longtime writing teacher John Warner: not very much. More Than Words argues that generative AI programs like ChatGPT not only can kill the student essay but should, since these assignments don’t challenge students to do the real work of writing. To Warner, writing is thinking—discovering your ideas while trying to capture them on a page—and feeling—grappling with what it fundamentally means to be human.

Whether you're a total beginner or a seasoned entrepreneur, this 4-in-1 guide delivers everything you need to turn ChatGPT into a money-making machine. Inside, you'll discover step-by-step strategies to build passive income, launch profitable side hustles, and scale to full-time freedom using the world's most powerful AI tool.

Les enjeux et les impacts des dernières générations d'intelligence artificielle décryptés par un spécialiste mondial de l'IA. ChatGPT vous enthousiasme et vous effraie tout à la fois ? À entendre ses promoteurs, les capacités de l'intelligence artificielle seraient dès aujourd'hui sans limite. Luc Julia nous emmène dans un voyage au centre de l'IA, de son histoire et de son potentiel. Il déconstruit les idées reçues les plus répandues, à commencer par celle selon laquelle les IA génératives seraient créatives.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.