Science Artificial Intelligence

Despite AI’s power to innovate daily life and revolutionize organizations, public trust in AI is low. For companies to take full advantage of AI, it is vital that they adopt and communicate a responsible approach in order to build consumer, employee and investor confidence. Governing the Machine provides business leaders with a practical and flexible framework for building comprehensive and robust AI governance. It empowers organizations to reap the benefits, while ensuring that AI is trustworthy, sustainable and a source of opportunity and profit rather than liability and harm.

Equipped with the entirety of human knowledge, a sentient ship is launched on a last-ditch journey to find a new home for civilization. Trillions of miles. Tens of thousands of years. In the space between, the AI has plenty of time to think about life, the vastness of the universe, everything it was meant to do, and—with a perspective created but not limited by humans—what it should do.

For fans of Marie Lu comes the first book in an epic series that bends the sci-fi genre into a new dimension. “A truly beautiful novel that redefines the form." —Victoria Aveyard, bestselling author of Red Queen This morning, Kady thought breaking up with Ezra was the hardest thing...

A house embedded with an artificial intelligence is a common thing: a house that is an artificial intelligence, infused with a thinking creature that is not human? That is something else. But now Deniau's been dead a year, and Rose House is locked up tight, as commanded by the architect's will: all his possessions and files and sketches are confined in its archives, and their only keeper is Rose House itself. Rose House, and one other.

Its a known fact that computers can store exponential amounts of information on their hard-drives. But our human brains have a set capacity and just cannot compete against technology on this front. Engineers and scientist are discovering ways to model our human brains and integrate certain aspects of it to create what we know as "neural networks". Take this opportunity to learn about the next big innovation in technology and real-world applications of the next potential trillion-dollar industry (artificial intelligence) that will take the world by storm.

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.

This new edition introduces operation and design techniques for Sigma-Delta converters in physical and conceptual terms, and includes chapters which explore developments in the field over the last decade. Includes information on MASH architectures, digital-to-analog converter (DAC) mismatch and mismatch shaping

Building on his national bestseller The Rational Optimist, Matt Ridley chronicles the history of innovation, and how we need to change our thinking on the subject. Innovation is the main event of the modern age, the reason we experience both dramatic improvements in our living standards and...

Et si l'intelligence artificielle que vous craignez devenait le partenaire le plus fiable de votre quotidien ? Comment réagiriez-vous face à une IA qui comprend et anticipe vos besoins mieux que quiconque ? Découvrez comment transformer l'IA en un compagnon du quotidien indispensable, capable d'enrichir votre vie personnelle et professionnelle. Dans ce livre audio, plongez au cœur de l'IA générative, une technologie révolutionnaire qui, loin d'être une menace, se révèle être un puissant allié.

Embark on a transformative journey through the Artificial Intelligence Revolution with "Artificial Intelligence Revolution: Understanding the Building Blocks and Principles of Artificial Intelligence." In this captivating audiobook, we delve into the core concepts and principles that underpin the extraordinary advancements in AI, empowering you to grasp the foundations of this groundbreaking technology.

The Year in Tech, 2026: The Insights You Need from Harvard Business Review 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 productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data's latent, transformative potential.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for more than 10 years. He shares that expertise in the new audiobook Enterprise Artificial Intelligence Transformation. The first of its kind, this audiobook grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology.

The rise of artificial technology has seen a total change in the way we live our lives, interact, and function in the world. It has infiltrated our reality at every given turn and there appears to be no turning back now. Data science, advanced algorithms, and pattern recognition are now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

Whether you are a student with a startup idea, a budding entrepreneur, a seasoned business owner looking to take advantage of artificial intelligence in your business, or just an individual looking to achieve financial freedom, the AI Entrepreneur's Handbook is your ticket to making it big in this new world of ChatGPT and AI.

Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the '90s and was the first to teach AI at NYU Stern.

In The Paradox of Progress, Dr. Michael M. Karch delves into the ethical complexities of AI’s rapid evolution. Drawing from a career spanning three decades in robotics, orthopedic surgery, and international disaster response, Dr. Karch investigates AI’s far-reaching impact and initiates critical discussion about its duality. This is a compelling exploration through historical precedents of progress and AI’s challenges today, including fears of data bias, deep fakes, technological hegemony, and job displacement.