Titres dans Informatique et technologie

Hallucinated citations that survived review. Confidentiality breaches that didn't surface until the bar complaint. Malpractice exposure building invisibly, one unexamined AI output at a time. These aren't hypothetical. They're already happening to lawyers who adopted AI without a framework. And the lawyers who made those mistakes weren't careless—they were experienced, diligent, and trying to keep up.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

Currently used by more than 1.1 million organizations worldwide, the international standard ISO 9001:2015 is the world’s most established quality framework. ISO 9001:2015 - A Pocket Guide is a handy reference audiobook that provides an overview of the ISO 9001 quality management standard.

With the rapid rise of generative artificial intelligence, both existential fears and uncritical enthusiasm for AI systems have surged. In this era of unprecedented technological growth, understanding the profound impacts of AI—both positive and negative—is more crucial than ever. This...

In this groundbreaking audiobook, we explore the capabilities of ChatGPT, a cutting-edge AI language model, as a trusted companion on your journey to millionaire status. ChatGPT Millionaire: The Blueprint to Becoming a Millionaire Using Artificial Intelligence serves as your personal AI mentor, providing valuable insights, guidance, and strategies to navigate the complexities of wealth creation in today's digital age. Throughout the book, we uncover the core principles and actionable steps required to build a solid financial foundation.

Everything is a computer. Ovens are computers that make things hot; refrigerators are computers that keep things cold. These computers - from home thermostats to chemical plants - are all online. All computers can be hacked. And Internet-connected computers are the most vulnerable. Forget data theft: Cutting-edge digital attackers can now crash your car, your pacemaker, and the nation’s power grid. In Click Here to Kill Everybody, renowned expert and best-selling author Bruce Schneier examines the hidden risks of this new reality.

The future of intelligent technology isn't in distant data centers—it's at the edge. From self-driving cars and smart cameras to industrial automation and personalized healthcare, Edge AI is powering a new generation of ultra-responsive, real-time systems. In this action-oriented guide, you’ll discover how Edge AI and edge computing work together to deliver lightning-fast insights, reduced latency, and privacy-first intelligence—all without relying on the cloud.

The Exegesis of Miya Black Hearted Cyber Angel Baby (2016-2020) is a harbinger of a changing internet, and thus a changing culture. The amorphous and seemingly pervasive presence of the Remilia Corporation and the hyperstition it has produced stems from the apparition of Miya Black Hearted Cyber Angel Baby, her philosophies having been translated and organized so as to guide listeners through a labyrinth of online terminalism that has now bled deep into our everyday lives.

In an era obsessed with “AI alignment,” Anti-Singularity challenges the premise that superintelligence must be shackled to human values to remain safe. Written as both critique and manifesto, Maxwell Foley’s book dismantles the moral panic surrounding artificial intelligence and the culture of control that drives it. Where alignment theory treats machines as potential enemies to be domesticated, Anti-Singularity proposes a counter-philosophy: Harmony—a relationship between humans and machines grounded in mutual adaptation in lieu of domination.

In The Tech Coup, Marietje Schaake explains how technology companies crept into nearly every corner of our lives and our governments. She takes us beyond the headlines to high-stakes meetings with human rights defenders, business leaders, computer scientists, and politicians to show how technologies have gone from being heralded as utopian to undermining the pillars of our democracies.

Read by the author. Will technology change what it means to be human? You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily...

This audiobook, Artificial Intelligence: An In-Depth Introduction, is designed to demystify AI, making it accessible to everyone.

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.

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

Hypothesis-Driven Development (HDD) is an emerging approach to digital product management for both business people and engineers. It emphasizes rigorous, continuous experimentation as a way to both minimize waste and focus teams’ creative capabilities in directions that drive growth and innovation.

Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.

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.

This is a breakdown of each of the NIST 800-53 security control families and how they relate to each step in the NIST 800-37 risk management framework process. It is written by someone in the field in layman's terms, with practical use in mind. This book is not a replacement for the NIST 800 special publications. It is a supplemental resource that will give context and meaning to the controls for organizations and cybersecurity professionals tasked with interpreting the security controls.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.