Computer Intelligence

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...

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? What will the world look like if we have billions of AIs that are as smart as humans, or even smarter?

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

A “deeply stimulating and disarmingly accessible” (Robert Sapolsky, author of Determined) journey into the inner workings of human and artificial minds When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a...

Des premiers algorithmes aux systèmes d'auto-apprentissage et aux réseaux neuronaux, « Le trading IA de A à Z » offre un aperçu fascinant des coulisses d'un monde où les machines sont depuis longtemps devenues des acteurs à part entière. Vous découvrirez comment les systèmes d'IA modernes prennent des décisions, comment les modèles prédictifs identifient les tendances avant qu'elles ne se manifestent et comment vous pouvez, en tant que débutant, accéder à ce monde hautement complexe, même sans avoir fait d'études en informatique.

In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge.

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.

Karl Albrecht defines social intelligence (SI) as the ability to get along well with others while winning their cooperation. SI is a combination of sensitivity to the needs and interests of others, sometimes called your "social radar", an attitude of generosity and consideration, and a set of practical skills for interacting successfully with people in any setting. Social Intelligence provides a highly accessible and comprehensive model for describing, assessing, and developing social intelligence at a personal level.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it's asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you'll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You'll also explore the ethics of using AI-generated content for various purposes.

Welcome to AI ChatGPT Marketing for Business 2025, the ultimate 3-in-1 step-by-step audiobook designed to help you master the tools, tactics, and mindset of the digital economy. Whether you're launching your first side hustle, scaling your social media presence, or building a future-proof online brand, this bundle is your shortcut to real, sustainable results.

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

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.

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 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.

The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between artificial intelligence theory and real-world product management, offering actionable learnings tailored to non-technical professionals.

So you've already figured out that business intelligence can be pretty valuable in making the right decisions about your business. But you've heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start? Business Intelligence for Dummies makes BI understandable. It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment.

For decades, the tech industry has overwhelmingly been just a software industry. Silicon Valley’s big win was disrupting Yellow Cab. What about disrupting General Motors? General Mills? General Electric? Energy, water, waste, food, manufacturing, construction—things every human on Earth relies on—have made incremental progress over the last century but have not seen the kind of exponential improvements we take for granted in computing.