検索キーワード： 機械理論・人工知能

In the heart of Hangzhou, a city where ancient traditions meet cutting-edge innovation, a new force in artificial intelligence emerged—DeepSeek. Founded in 2023 by the visionary Liang Wenfeng, this Chinese AI company has rapidly ascended to global prominence, challenging the titans of Silicon Valley. DeepSeek's flagship model, DeepSeek-R1, isn't just another AI—it's a game-changer. Launched at a fraction of the cost of its Western counterparts, R1 has been lauded for its advanced reasoning capabilities and efficiency.

We are about to cross a critical threshold in the history of our species. Everything is about to change. Soon we will live surrounded by AIs. They will carry out complex tasks-operating businesses, producing unlimited digital content, running core government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. It represents nothing less than a step change in human capability. We are not prepared.

The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the 21st century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.

When ChatGPT was released, the world changed overnight. Even as we all played with the new toy, a very real danger was quickly coming to light: that untested automations would undermine our way of life insidiously, sucking value out of our economy, replacing high-level creative jobs and enabling a new, terrifying era of disinformation.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

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.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

In Behavioral AI: Unleash Decision Making with Data, behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value. The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving.

Generative AI, Web3, neurotech, reusable rockets to power the space economy—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2024 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

The entirety of the human brain’s 4-billion-year story can be summarised as the culmination of five evolutionary breakthroughs, starting from the very first brains, all the way to the modern human brains. Each breakthrough emerged from new sets of brain modifications, and equipped animals with a new suite of intellectual faculties. These five breakthroughs are the organising map to this book, and they make up our itinerary for our adventure back in time. Each breakthrough also has fascinating corollaries to breakthroughs in AI.

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.

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.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

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 is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment.

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

This is what our future looks like: in the next decade, AI will be able to convince us that it’s human. During the 2030s, it will become ‘superintelligent’, vastly outstripping our capabilities by almost every measure. By 2045, it will be possible to connect our brains with these AIs using invisibly small nanotechnologies. Our minds and theirs will merge, expanding our consciousness more profoundly than we can fully comprehend, unlocking possibilities we can barely imagine. This is the singularity.

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives—and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes listeners inside the fierce competition to develop and implement this game-changing technology and dominate the future.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life.

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.

As advances in AI spark fear and confusion, The Mind’s Mirror reminds us that in spite of the very real and pressing challenges, AI is a force with enormous potential to improve human life. Computer scientist and AI researcher Daniela Rus, along with science writer Gregory Mone, offers an expert perspective as a leader in the field who has witnessed many technological hype cycles. Rus and Mone illustrate the ways in which AI can help us become more productive, knowledgeable, creative, insightful, and even empathetic, as well as the many risks associated with misuse.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Your AI Roadmap is not just an advice book, it's a modern blueprint for your career and income. One part modern careers and one part wealth building, this book is your guide to securing financial success. With humor and data-driven examples, serial entrepreneur, investor, and AI influencer Dr. Joan Palmiter Bajorek provides fresh and tactical career advice as well as ways to expand your income and get your finances in order in a world where artificial intelligence layoffs are announced daily.

In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war.

"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.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.