Titoli in Scienze informatiche

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 confined to data science and automation—it’s now a powerful ally in the creative process. AI in Creative Workflows explores how cutting-edge AI tools are reshaping the way artists, designers, writers, and content creators conceptualize, produce, and refine their work.

As cyber threats become more advanced, persistent, and automated, so must our defenses. AI-Enhanced Cybersecurity explores how artificial intelligence is transforming the way organizations detect, respond to, and anticipate cyberattacks across digital ecosystems.

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.

AI-Powered Assistants is your must-have guide to building, using, and thriving with intelligent virtual agents that think, act, and adapt. Whether you're a business leader looking to boost productivity, a developer eager to build the next-gen assistant, or simply curious about how AI is reshaping our digital lives, this book shows you how to make the most of the AI revolution.

In an era where IT environments are growing more complex and dynamic, traditional monitoring and management approaches can no longer keep up. AIOps: Automating IT Operations with Artificial Intelligence explores how artificial intelligence and machine learning are revolutionizing the way organizations manage, optimize, and future-proof their IT operations.

AI isn’t replacing developers—it’s supercharging them. Coding with Intelligence is your guide to mastering the future of software development, where artificial intelligence becomes your most powerful teammate.

The world is changing fast. Are you ready for what's next? Technical skills alone won't keep you ahead anymore. Creativity has now become the dividing line between those who will lead the future and those who will be automated out of it. This book shows you how to build the creative abilities AI can't touch: finding problems worth solving, linking ideas in new ways, and infusing work with meaning that only humans understand. These aren't vague ideas - they're real skills you can start building today.

La inteligencia artificial generativa ha llegado. Y con ella la inevitable confusión que conlleva intentar saber cómo afectará a nuestra vida laboral y personal y, también, al futuro de la humanidad.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats.

The decisions to trust—or not—are pervasive throughout our everyday lives. Whether or not we trust others, for example, depends on many factors, and they all have a history. The battle to trust or mistrust, as experienced at the personal, political and cultural levels, are revealed in this well-documented story. This book illuminates the nature of trust, a deeply abstract and critically important concept.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

ChatGPT has become a tool hundreds of millions use every day—yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people’s jobs, it is more likely to be someone using AI that will! This book explores the ‘big three’ AI chatbots, demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools.

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

There is a huge effort underway in industry and universities to develop the next generation of more intelligent, autonomous, mobile robots. Accompanying these arrivals has been a steady stream of inflammatory articles in the media raising concerns over the impending specter of super-intelligent robots, along with stories about how most jobs will soon be lost to robots.

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.