Computer Intelligence

AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding—a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks—represents a radical shift in the developer's role from writing code to directing it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly.

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.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

The dramatic, larger-than-life true story behind the founding of Oculus and its quest for virtual reality, by the bestselling author of Console Wars. From iconic books like Neuromancer to blockbuster films like The Matrix, virtual reality has long been hailed as the ultimate technology. But...

An insider look at the Large Language Models (LLMs) that are revolutionizing our relationship to technology, exploring their surprising history, what they can and should do for us today, and where they will go in the future—from an AI pioneer and neuroscientist In this accessible, up-to-date...

AI has already made its way in and it’s not just knocking anymore. You’re about to find out how to use artificial intelligence to give yourself a huge and almost unfair advantage. It’s not about learning AI; it’s about getting good at the prompts that make it do what you want. This is your AI guide for beginners, the non-negotiable first step in a 21-day mission to make AI money and AI income your new reality. This is Book I. Forget information overload; this is a 4-day guided detonation of your old assumptions and limitations.

Want to turn AI into your secret weapon for success, but have no idea how to begin? Your barrier isn't technical—it's communication. No one has taught you how to speak AI's language. Until now. "Generative AI for Beginners" by Sarah T. Rowan is the guide that finally teaches you how to communicate effectively with AI, empowering you to get the results you want—no tech degree required. Using AI effectively is like driving a car—you don't need to be a mechanic, just know how and where to drive.

Despite AI’s power to innovate daily life and revolutionize organizations, public trust in AI is low. For companies to take full advantage of AI, it is vital that they adopt and communicate a responsible approach in order to build consumer, employee and investor confidence. Governing the Machine provides business leaders with a practical and flexible framework for building comprehensive and robust AI governance. It empowers organizations to reap the benefits, while ensuring that AI is trustworthy, sustainable and a source of opportunity and profit rather than liability and harm.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

Artificial intelligence is one of the most significant technological developments of recent times, with the possibility to reshape society as we know it. In this engaging volume, the author explains the cutting-edge science behind artificial intelligence models as well as the philosophical implications in simple and accessible language.

This new edition introduces operation and design techniques for Sigma-Delta converters in physical and conceptual terms, and includes chapters which explore developments in the field over the last decade. Includes information on MASH architectures, digital-to-analog converter (DAC) mismatch and mismatch shaping

This audiobook is your complete guide to modern Agile product and project management—designed for leaders, practitioners, and students who want to master how products are conceived, built, and scaled in the era of AI. Drawing on real-world case studies from startups to Silicon Valley tech giants, it explains not only what Agile is, but how it drives business value, accelerates delivery, and enables innovation powered by generative AI and intelligent agents.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Daniel Suarez’s New York Times bestselling debut high-tech thriller is “so frightening even the government has taken note” (Entertainment Weekly). Daemons: computer programs that silently run in the background, waiting for a specific event or time to execute. They power almost every...

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies...

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

A bestselling dystopian novel that tackles surveillance, privacy and the frightening intrusions of technology in our lives—a “compulsively readable parable for the 21st century” (Vanity Fair). When Mae Holland is hired to work for the Circle, the world’s most powerful internet company...

Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the '90s and was the first to teach AI at NYU Stern.