Titoli in Scienze informatiche

The Singularity Paradox: Bridging the Gap Between Humanity and AI is a comprehensive exploration of how the fusion of biology, neuroscience, and artificial intelligence can lead to the creation of Artificial Human Intelligence (AHI) as a conscious response to the unconscious development of superintelligence.

Pronto viviremos rodeados de una inteligencia artificial responsable de ejecutar tareas complejas: desde gestionar negocios y producir contenido digital ilimitado hasta dirigir servicios públicos fundamentales o mantener infraestructuras. Habitaremos un mundo de impresoras de ADN y ordenadores cuánticos, patógenos artificiales y armas autónomas, robots asistentes y energía abundante. Todo esto supone una transformación radical en la capacidad humana.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century.

Taking us beyond the confines of our own experiences, The Color of North traverses the kingdom of life to uncover the myriad ways that proteins shape us and all organisms on the planet. Inside every cell, a tight-knit community of millions of proteins skillfully contorts into unique shapes to give fireflies their ghostly glow, enable the octopus to see predators with its skin, and make humans fall in love.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

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.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. 

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.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. 

The definitive exploration of one of the most daring and consequential theories of our time, completely revised and updated to reflect the rapid advances in artificial intelligence and virtual reality Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and...

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

In The Last Book Written by a Human, tech entrepreneur Jeff Burningham delivers a profound and urgent exploration of what it truly means to be human in the age of AI—challenging us to embrace wisdom, love, and deep human connection as we navigate an uncertain future alongside machines.

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 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.

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.

The New Science of Customer Relationships: Delivering the One-to-One Promise with AI is a science-based and insightful new approach to integrating the latest generative AI technologies into your company's customer communications. Analytics and marketing experts Thomas Davenport and Jim Sterne walk you through the technology and tools you need to understand, the data you need to collect, the processes you need to implement, and the ethics you need to observe to build an industry-leading customer relationship framework.

GenAI on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS.

In Generation AI, lifelong entrepreneur, futurist, and consumer trend expert Matt Britton explores how artificial intelligence is reshaping society, from consumer behavior to education, work, relationships, and health. As the first generation born into an AI-enabled world, Generation Alpha will experience a paradigm shift in lifestyle and career paths. Britton examines the unprecedented opportunities AI presents: personalized learning, advancements in healthcare, and automated consumer experiences and processes.

Rise of the Machines: A Project Zero Trust Story is a continuation of the 2023 bestseller Project Zero Trust, picking up where the first book left off and addressing issues not covered in the first installment: artificial intelligence, mergers and acquisitions, antivirus, business continuity, and remote work. Artificial Intelligence is the dominant issue discussed in every chapter, providing a case-study-based approach to applying zero trust principles to all the various aspects of artificial intelligence, from MLOps, used by security teams, to use of GPTs, chatbots, and adversarial AI.

A defense technology expert and military leader reveals the future of robotic warfare, and illuminates the path to navigate the approaching storm of global change.