Showing results by publisher "--Tyson Hanks" in Computers & Technology

In this groundbreaking and provocative treatise, Alexander C. Karp, co-founder and chief executive officer of Palantir Technologies, and Nicholas W. Zamiska, head of corporate affairs at the company, offer a searing critique of our collective abandonment of creative and cultural ambition. They argue that in order for the West to maintain its geopolitical advantage—and the freedoms that we take for granted—the software industry must redirect its attention to our most urgent challenges and rebuild its relationship with government.

Unlock the power of AI with the beginner’s handbook to AI prompt engineering: master ChatGPT, boost productivity, and turn your skills into profits! In today’s fast-paced digital age, mastering artificial intelligence (AI) isn’t a luxury—it’s a necessity. Whether you’re curious about AI, looking to maximize productivity, or eager to tap into income-generating opportunities, this book is your ultimate guide to mastering prompt engineering and transforming your life with tools like ChatGPT.

'As AI continues to evolve, one of the most talked-about and impactful advancements across industries is Agentic AI. But what exactly is Agentic AI, and why does it matter so much to businesses and individuals right now?' Agentic AI goes beyond simply automating tasks. It can plan, make decisions, take action, and adapt to new information. AI agents are capable of collaborating with other agents, systems, and people—reshaping how work gets done and how value is created. The rise of these digital workers will have a profound effect on industries, roles, and organizations of all sizes.

Abyssal Archive features the most comprehensive fan analysis of the Dark Souls mythos ever undertaken. We set out to pay tribute to Miyazaki's legendary game by crafting something that embodies the same care and attention to detail that makes Dark Souls itself such a peerless work of art.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Tech pioneer Chris Dixon has long advocated for a technology that can revive the dream of an open, entrepreneurial internet: blockchain networks. Often dismissed, sometimes vilified, these networks have until recently been dominated by amoral speculators and get-rich-quick schemes. But, more quietly, a group of visionaries have been using them to build the future. In Read Write Own, Dixon draws on 25 years at the vanguard of tech innovation to explore how blockchains will change the internet.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.

In the newly revised ninth edition of CompTIA Security+ Study Guide: Exam SY0-701, veteran cybersecurity professionals and educators Mike Chapple and David Seidl deliver easy-to-follow coverage of the security fundamentals tested by the challenging CompTIA SY0-701 exam. You'll explore general security concepts, threats, vulnerabilities, mitigations, security architecture and operations, as well as security program management and oversight.

Join journalist Barry Werth as he pulls back the curtain on Vertex, a start-up pharmaceutical company, and witness firsthand the intense drama being played out in the pioneering and hugely profitable field of drug research. Founded by Joshua Boger, a dynamic Harvard- and Merck-trained scientific whiz kid, Vertex is dedicated to designing - atom by atom - both a new life-saving immunosuppressant drug and a drug to combat the virus that causes AIDS.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

On a moonless night in January 1991, a dozen US aircraft appeared in the skies over Baghdad. To the Iraqi air defenses, the planes seemed to come from nowhere. Each aircraft was more than 60 feet in length and with a wingspan of 40 feet, yet its radar footprint was the size of a ball bearing. Here was the first extensive combat application of Stealth technology. And it was devastating.

Kevin Mitnick was the most elusive computer break-in artist in history. He accessed computers and networks at the world’s biggest companies—and however fast the authorities were, Mitnick was faster, sprinting through phone switches, computer systems, and cellular networks. He spent years skipping through cyberspace, always three steps ahead and labeled unstoppable.

In Lost and Founder Rand Fishkin reveals the mostly awful, sometimes awesome truth about startup culture with the transparency and humour that his hundreds of thousands of blog readers have come to love. Fishkin's hard-won lessons are applicable to any kind of business environment and this audiobook can help solve your problems, and make you feel less alone for having them.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

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.