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From the firing of neurons in a fraction of a second to the monthly cycle of ovulation to a seasonal shift in sleep patterns, the human body runs on rhythms—all more knowable now than ever, thanks to wearables. Making sense—and making use—of these signals is something else, and this is precisely what Daniel Forger explains in Biological Rhythms. Sorting through a plethora of data gathered over the past decade, this practical, user-friendly book gives listeners the tools for reading and interpreting the rhythms that regulate physiological processes.

The dramatic inside story of the first four historic flights that launched SpaceX—and Elon Musk—from a shaky startup into the world's leading edge rocket company. In 2006, SpaceX—a brand-new venture with fewer than 200 employees—rolled its first, single-engine rocket onto a launch pad at...

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...

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.

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.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

In 2004, Android was two people who wanted to build camera software, but couldn't get investors interested. Today, Android is a large team at Google, delivering an operating system (including camera software) to over 3 billion devices worldwide. This is the inside story, told by the people who made it happen. Androids: The Team That Built the Android Operating System is a firsthand chronological account of how the startup began, how the team came together, and how they all built an operating system from the kernel level to its applications, and everything in between.  

In Survival of the Richest, Rushkoff traces the origins of The Mindset in science and technology through its current expression in missions to Mars, island bunkers, AI futurism, and the metaverse. In a dozen urgent, electrifying chapters, he confronts tech utopianism, the datafication of all human interaction, and the exploitation of that data by corporations. Through fascinating characters, Rushkoff explains why those with the most power to change our current trajectory have no interest in doing so.

Today we take it for granted that Japan is a forge of the world's fantasies: the birthplace of Transformers and Pokémon, of food trends like ramen and artisanal whisky and cutting-edge manga and anime. But it wasn't always this way. The first Japanese products that trickled into the global marketplace after the Second World War inspired derision, not admiration. The three words Made in Japan were a punchline, a synonym for cheap trinkets from a defeated nation.

TikTok has quietly evolved into one of the world's largest e-commerce platforms, where millions of buyers scroll, watch, and purchase in real time every day. Unlike traditional online stores where products sit waiting, TikTok live shopping creates instant urgency, authentic connection, and explosive conversion rates all at once. Smart sellers are going live right now and walking away with thousands of dollars in single sessions, and this book reveals exactly how they do it.

日本経済を牽引してきた自動車産業。

Weaving insights from philosophy, neuroscience, and history into a rich narrative, The Shallows explains how the internet is rerouting our neural pathways, replacing the subtle mind of the book reader with the distracted mind of the screen watcher. A gripping story of human transformation played out against a backdrop of technological upheaval, The Shallows will forever alter the way we think about media and our minds.

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...

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...

このオーディオブックでは、広告費ゼロで濃い見込み客を集客するFacebookのマーケティング戦略について解説します。

今、４度目の産業革命が始まろうとしている。牽引役となるのは、ＡＩ（人工知能）だ。

T2Vの開発元の株式会社プログマインド代表取締役の 濁川武郷氏にインタビューしています。