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Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve.

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.

Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, "What Is Intelligence?" argues—quite against the grain—that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.

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. An AI learned to win chess by making moves human grand masters had never conceived. Another...

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

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.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Prompting Makes Perfect is the essential guide to using chatbots more effectively in both work and everyday life. Rather than treating AI as a novelty or a shortcut, this book shows how clear, intentional prompting turns chatbots into reliable assistants for writing, communication, research, learning, creativity, career advancement, and personal growth.

As generative AI rapidly moves from the fringes of innovation into the core of modern business operations, organizations must adapt or risk falling behind. Generative AI in the Workplace offers a comprehensive guide to understanding and integrating this transformative technology to drive efficiency, unlock creativity, and reshape the very fabric of workplace culture.

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.

As artificial intelligence evolves beyond narrow task execution, a new frontier is emerging—Building Agency AI, where intelligent systems are designed to act with autonomy, adapt to uncertainty, and pursue goals independently.

Artificial intelligence is no longer a futuristic concept—it’s a powerful force shaping how modern software is designed, built, and delivered. AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale.

Agentic AI explores the rise of autonomous, goal-driven systems transforming 2026 and beyond. Unlike traditional AI, agentic systems act independently, adapt, and self-improve, reshaping industries, governance, and daily life. From enterprise automation and healthcare personalization to creative content, immersive virtual worlds, and everyday smart environments, these agents amplify human productivity and creativity.

A New York Times Bestseller Super Agers is a detailed guide to a revolution transforming human longevity. This is a breakthrough moment in the history of human health care. The person making that bold claim is one of the most respected medical researchers in the world, Eric Topol. Dr. Topol’s...

Small businesses aren’t failing because they’re bad at what they do. They’re failing because they’re ignoring the biggest shift in business since the internet — and pretending AI “doesn’t apply to them.” This book fixes that… with zero jargon, zero hype, and plenty of sarcasm. Stop Doing Dumb S#!t is the no-BS guide every small business owner, operator, and leader needs to finally understand AI, automation, and modern technology — without feeling overwhelmed, talked down to, or forced into buying some overpriced “AI-in-a-box” software you’ll never use.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace cofounders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the listener through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling. The book explains the four primary design patterns of generative AI―prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and agentic reasoning―and how to leverage them as first principles to build scalable LLM applications that are high-performance and efficient.

A new and previously unexplained era of artificial intelligence will transform human life forever. Discover what this means for our personal identity and our future.