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Brought to you by Penguin. A revelatory portrait of the visionary behind Google DeepMind, the race to control the future – and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in...

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Emily M. Bender e Alex Hanna spiegano perché le tecnologie vendute come "intelligenza artificiale" non sono una magia capace di risolvere ogni problema. L'IA di oggi è fatta di sistemi statistici su larga scala, che producono linguaggio e immagini senza comprenderli ‒ non un'intelligenza pensante ma «pappagalli stocastici». Le autrici ne sfatano i falsi miti e mettono in luce le insidie del loro impiego in ambiti chiave ‒ lavoro, sanità, giustizia, istruzione, scienza, arte e giornalismo.

एक समय थ जब शकत उन लग क पस थ ज कड कर सकत थफर यह उन लग क थ ज गणन कर सकत थअब यह उन लग क ह ज परशन पछ सकत हहम इतहस क पहल यग म ज रह ह जह मनव भष मशन बदधमतत क लए एक सध इटरफस बन गई ह न तर क मधयम स न भर सटकस वल परगरमग क मधयम स न जटल कमड लइन क मधयम स बलक बतचत क मधयम सपरमपट अब कवल एक सधरण नरदश नह हयह वसतकल हयह डजइन हयह एक लवरज हदनय क सबस शकतशल एआई परणलय — ChatGPT, Claude, Perplexity, DeepSeek, Gemini, Lovable — कवल कमड क जवब नह दत व सरचन क वयखय करत ह व इरद क अनमन लगत ह व तरक क अनकरण करत ह व रणनत बनत हऔर एक औसत परणम और एक परवरतनकर परणम क बच क अतर मडल नह हयह परमपट हपरमपट इजनयरग मशन क धख दन क बर म नह ह यह ब

AI doesn't need to be overwhelming, technical, or full of hype. You don't need to learn coding. You don't need to chase every new tool. And you definitely don't need another book filled with buzzwords and theory.

Transform frustrating AI interactions into reliable, professional results with a systematic approach to prompt debugging. Are you tired of getting vague, inaccurate, or unpredictable responses from ChatGPT, Claude, and other AI tools? The problem isn't the AI itself; it's how you communicate with it. The AI Prompt Debugging Guide teaches you a practical, step-by-step method to diagnose and fix prompt problems, turning AI into a dependable partner for your work.

The Claude Code Speed Hacks delivers practical workflows that turn Anthropic's Claude into a reliable pair programmer for any development project. Instead of generic AI advice, you get specific prompts, proven systems, and ready-to-use templates that integrate seamlessly into your daily coding routine.

What if you could accomplish in 2 days what now takes you 5? The AI revolution isn't coming... it's here. And it's about to make the traditional workweek obsolete. Bill Gates predicts most people will work just two days per week within the decade. The question isn't whether this will happen; it's whether you'll be among the prepared few who thrive, or the many left behind. "2-Day WorkWeek" is your survival guide for the AI economy. This isn't another productivity hack book.

From the New York Times bestselling authors of Abundance, Bold, and The Future Is Faster Than You Think comes a bold exploration of what it means to stay human in a world where technology has granted us godlike power. In 1968, Stewart Brand declared: “We are as gods—and we might as well get...

In this provocative, utterly original work of 'scientific fiction', Kai-Fu Lee, the former president of Google China and best-selling author of AI Superpowers, joins forces with celebrated novelist Chen Qiufan to imagine our world in 2041 and how it will be shaped by AI. In 10 gripping short stories, set 20 years in the future, they introduce listeners to an array of eye-opening 2041 settings.

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.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

NEW YORK TIMES BESTSELLER An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO of...

Transform your game development process with the power of artificial intelligence and create immersive gaming experiences that captivate players. Whether you're an indie game developer working solo or a programming student exploring cutting-edge technology, this comprehensive guide reveals how AI is revolutionizing modern game creation from concept to launch. Discover practical techniques for implementing machine learning in game development, from intelligent NPC behavior systems to procedural content generation that creates infinite worlds.

Discover how artificial intelligence can become your daily companion—without the overwhelm. ChatGPT for Beginners Over Fifty is a step-by-step guide designed especially for those who want to explore the power of AI with confidence, creativity, and ease.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. 

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.

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.