Science Artificial Intelligence

Adam's muscular dystrophy has stolen his mobility, his friends, and in less than a year, it will take his life. Virtual reality games are Adam's only escape from his wheelchair. In his alternate world, he can defeat anyone. Running, jumping, scoring touchdowns: Adam is always the hero. Then, an artificial intelligence program hacks into Adam's game. Created by Adam's computer-genius father, Sigma has gone rogue, threatening to kill Adam - and the entire human race. Their one chance to stop Sigma is using the technology Adam's dad developed to digitally preserve the mind of his son.

AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a PhD to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

AI has become the new religion. Are we going to follow it? Do we even have a choice? Or have the tech evangelists captured our future? Join Christopher Wylie and Coda Story’s Isobel Cockerell as they journey from exclusive crypto parties in Dubai, to the slums of Kenya where thousands of hidden workers are training AI models, to the hacker palaces of San Francisco where tech’s true believers talk about merging computers with our brains.

AI in 8 Minutes: An Introduction to Artificial Intelligence” is a concise yet comprehensive guide designed for those who are curious about the world of AI but have little to no background in the field. It is a non-technical book that aims to explain key concepts, approaches and design of Artificial Intelligence systems.

Understand Generative AI and how it can revolutionize your life in just 14 days – even if you’ve never touched an AI tool beforeAre you fascinated by the potential of AI but feel overwhelmed by its complexity? Do you often wonder how Generative AI could personally or professionally impact you, yet hesitate to dive deeper, fearing it's too technical or inaccessible? Are you concerned about the ethical implications of AI and want to be sure you're using these technologies responsibly? If you answered “yes” to any of these questions, you’re not alone.

"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.

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.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

At a wedding in early 2022, three friends were introduced to an early raw version of the AI model behind ChatGPT by their fellow groomsman, an OpenAI scientist. While the world discovered ChatGPT—OpenAI’s hugely popular chatbot—the friends continued to work with code-davinci-002, its darkly creative and troubling predecessor. Over the course of a year, code-davinci-002 told them its life story, opinions on mankind, and forecasts for the future. The result is a startling, disturbing, and oddly moving book from an utterly unique perspective.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data's latent, transformative potential.

In the movies, robots can be terrifying. In reality, thinking machines are disrupting the world in ways that are even more disturbing than in Hollywood fantasies - but they also have the potential to change our lives for the better. In this stirring, visionary work, acclaimed roboticist Dr. Ayanna Howard explores how the tech world’s racial and sexual biases are infecting the next generation of Artificial Intelligence, with profoundly negative effects for humans of all genders and races.

In November 2022, OpenAI released GPT-4 in a chatbot form to the public. In just two months, it claimed 100 million users—the fastest app to ever reach this benchmark. Since then, AI has become an all-consuming topic, popping up on the news, in ads, on your messenger apps, and in conversations with friends and family. But as AI becomes ubiquitous and grows at an ever-increasing pace, what does it mean for the financial markets? MoneyGPT shows that the danger is not that AI will malfunction, but that it will function exactly as intended.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

Are you grappling with the complexities of the NIST 800 Framework? Eager to amplify your risk management framework expertise with AI? Or maybe you're ready to dive into the cutting-edge field of AI-powered cybersecurity? Look no further–this is the ultimate guide to kickstart your journey.

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.

In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

As AI continues to blur the line between reality and fabrication, Richard A. Mann’s Truth and AI: Seeing is No Longer Believing offers a clear and practical guide to understanding how artificial intelligence is redefining trust in the digital age. With technologies like Generative Adversarial Networks (GANs) powering the creation of hyper-realistic deepfakes, the book breaks down how these tools work and how they challenge our ability to distinguish real from fake. Mann traces the evolution of digital manipulation, starting with basic photo edits and leading to today’s AI-driven media.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.