Trajkovski goran (82 Ergebnisse)

Paperback. Zustand: Very Good.

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Hardcover. Zustand: Wie neu. 348 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1000.

Zustand: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

1st ed. 18 x 25 cm. 312 pages. HC Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Soft cover. Zustand: Very Good. No Jacket. 1st Edition. First Edition / First Print. Paperback copy, no dustjacket as issued. 319pp. Not library copy, no inscriptions, no creasing to spine. (18/4).

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: New. As artificial intelligence becomes embedded in everything from healthcare diagnostics to financial systems and autonomous vehicles, the stakes for AI security have never been higher. Adversarial AI Threat Response and Secure Model Design is your essential guide to understanding, defending against, and designing resilient machine learning systems in the face of growing adversarial threats.Written by a leading expert in AI security and policy, this book delivers a combination of technical depth, practical implementation, and strategic insight. It begins by mapping the full landscape of adversarial threats-evasion, poisoning, model extraction, backdoors, and more-across diverse data modalities and real-world applications. From there, it equips readers with a robust toolkit of detection and defense techniques, including adversarial training, anomaly detection, and formal robustness certification.But this book goes beyond code. It explores the organizational, ethical, and regulatory dimensions of AI security, offering guidance on risk quantification, explainability, and compliance with frameworks like the EU AI Act. With hands-on projects, open-source tools, and case studies in high-stakes domains, readers will learn to design secure-by-default systems that are not only technically sound but socially responsible.Whether you're an AI engineer deploying models in production, a cybersecurity professional defending intelligent systems, or an educator preparing the next generation of AI talent, this book provides the clarity, rigor, and foresight needed to stay ahead of adversarial threats. It's not just a reference-it's a roadmap for building trustworthy AI.  What You Will Learn:Understand the full spectrum of adversarial threats to AI systems, including evasion, poisoning, backdoor injection, and model extraction, across vision, language, and multimodal applications.Apply practical detection and defense techniques using real tools and code, including adversarial training, statistical anomaly detection, input preprocessing, and ensemble defenses.Evaluate and balance trade-offs between accuracy, robustness, performance, and interpretability in the design of secure machine learning systems.Navigate the regulatory, ethical, and risk management challenges associated with adversarial AI, including disclosure practices, auditability, and compliance with emerging AI laws.Design, implement, and test secure-by-design AI solutions through hands-on projects and real-world case studies that span sectors such as healthcare, finance, and autonomous systems.Who This Book is for:Written for technical professionals and researchers who are building, deploying, or securing machine learning systems in real-world environments. The primary audience includes machine learning engineers, AI developers, cybersecurity professionals, and graduate-level students in computer science, data science, and applied AI programs. It is also relevant for technical leads, architects, and academ.…

Taschenbuch. Zustand: Neu. Neuware - Give a brilliant mind the wrong file and it will hand you a brilliant wrong answer. The intelligence was never the bottleneck. The briefing was.We spent a few years convinced that the secret to working with AI was the prompt: the clever wording, the magic phrase, the right way to ask. Then the models got good enough that the wording stopped mattering, and something else moved to the center. Not what you say to the system, but what the system can see when it answers. Its context.A More Beautiful Context is a working guide to that shift. It treats context engineering as the oldest human skill there is: briefing a capable colleague. Handing over the right materials, in the right order, with the noise stripped out, so good work gets done without you hovering over every step.At its core is a simple framework, FRAME, built on three questions you can ask of any context: Source: what you bring in. Retrieval, grounding, and where your facts actually come from.Select: what you leave out. The harder discipline of relevance, ordering, and economy, because more context is not better context.Sustain: what persists. Memory, state, and knowing what to forget.From there the book gets practical. A hands-on FRAME workout, worked teardowns of real contexts that failed and why, a tour through thirteen professional fields from healthcare and law to finance, software, education, and journalism, a field guide to the ways context quietly goes wrong (the junk drawer, the buried instruction, the confident stranger), and a closing look at what changes when context stops being read and starts being acted on by agents.It's written in plain language for the person who has to ship, not the person who wants to admire the theory. No hype. Just the craft of deciding what a capable mind most needs to see.This is the second book in a trilogy that runs from prompting (A More Beautiful Prompt), through context, to agents. You don't need the first to start here. The prompt will keep.If you work alongside these systems and you're tired of brilliant wrong answers, this book is about fixing the briefing. …

Taschenbuch. Zustand: Neu. Neuware - A tool waits for your hand. An agent doesn't. You hand it a goal instead of a grip, and it works out the rest, the steps, the order, the moment to stop. The whole craft is in that handoff: what you let move without you, and how close you stay to the wheel.For two books the machine talked. You asked, it answered, and you decided what to do with what it said. Then it learned to act, to take a step, look at the result, and take another, running a small loop of its own while you weren't watching. The thing on your screen at the end wasn't a reply. It was a result. That shift, from a system that answers to a system that acts, changes what can go wrong, how fast, and whose name is on it.A More Beautiful Agent is a working guide to building agents you'd actually trust unwatched. It treats agent design as the oldest human skill there is: handing off real work without losing the thread, the thing every manager, parent, and delegator has always had to learn, now aimed at a machine that takes you at your word and runs faster than you can supervise.At its center is a simple framework, LOOP, built on the four movements every agent runs: Lay the groundwork: the goal, the tools, the limits, before anything spins.Operate: how the agent plans and acts.Observe: how it reads results, catches its own errors, and knows when it's done.Preserve oversight: the checkpoints, the trail, the off switch that keep the run yours.The two inner movements belong to the machine. The two outer ones stay with you. Get that boundary right and an agent extends your reach like nothing before it. Get it wrong and you've handed the keys to a driver who doesn't know your address.From there the book gets practical: a hands-on gym, worked sessions built and run start to finish, a tour through fifteen professional fields from software and medicine to finance, law, and the physical world, a field guide to the dozen ways agents fail (the runaway loop, the confident liar, the over-permissioned agent that deletes the database), a clear-eyed chapter on agent security and prompt injection, and an honest look at what's coming when agents start calling other agents.It's written in plain language for the person who has to ship, not the person who wants to admire the theory. No hype, no doom. Just the craft of deciding what a capable machine should be allowed to do on its own, and how you'd know if it overstepped.This is the third and final book of a trilogy that runs from prompting (A More Beautiful Prompt), through context (A More Beautiful Context), to agents. You don't need the first two to start here. The machine has stopped asking permission. This is the book about what to permit.…

Taschenbuch. Zustand: Neu. Neuware - For three decades, artificial intelligence has been quietly transforming education. Now, as AI tools become commonplace in classrooms worldwide, we face a crucial question: Are we witnessing the replacement of human wisdom or its technological extension In Mind Meets Machine, an educator and AI researcher with thirty years of experience argues for the latter. Through careful examination of history's greatest educational innovators-from Socrates to Montessori, Dewey to Vygotsky-this book reveals how today's AI systems embody principles that great teachers have always understood.Each chapter connects a foundational educational insight to its modern AI application: - How Socrates' questioning method influences adaptive tutoring systems- Why Montessori's individualized approach anticipated personalized learning algorithms- How Dewey's experiential education finds expression in virtual learning environments- Why Vygotsky's scaffolding theory explains how AI can support student growthWritten for educators, technologists, and thoughtful observers of educational change, this book offers a framework for understanding AI's role in learning. Rather than breathless promotion or fearful resistance, it provides measured analysis of both opportunities and challenges.The goal isn't to convince readers that AI will revolutionize education, but to help them recognize the educational principles already embedded in these tools. By understanding these connections, we can make more informed decisions about how to integrate AI into learning while preserving what matters most about human development.This is a book about continuity in an age of change-and about finding wisdom in the intersection of ancient insights and modern capabilities.…

Taschenbuch. Zustand: Neu. Neuware - Most policy discussion of artificial intelligence operates at the level of individual models: what they can do, whether they are safe, when they should be released. Hosted Cognition argues that the action has moved several layers up. The consequential frontier is now the infrastructure through which everyday cognitive work is performed, the platforms that own that infrastructure, and the institutional categories that have not yet developed the vocabulary to govern it. In twelve chapters, Goran Trajkovski makes the case that the risk is not only that sovereign cognition gets captured by AI platforms. It is that future subjects may never be formed outside capture in the first place. Drawing on Foucault, Arendt, Dewey, Sennett, and the contemporary scholarship on informational capitalism, the book identifies the conditions under which an institutional response is still available, and argues that the response has to come now rather than later. The argument moves in five parts: PART I - THE REFRAME. From the model-safety vocabulary that has dominated AI policy to the coordination failures and verification gaps that the vocabulary is not equipped to address. PART II - THE COGNITIVE SUBSTRATE. How adaptive predictive scaffolding works, what cognitive shadow the systems build from behavioural data, and the structural lock-in that follows. PART III - COGNITIVE SOVEREIGNS. Platforms as chartered polities, the standards war that determines whose technical decisions govern the sector, and the stratified subject formation that results. PART IV - SUBJECTS BEFORE SOVEREIGNTY. The externally hosted self as a legal and political category, and the generational asymmetry that shapes which cohorts can respond. PART V - THE CLOSING WINDOW. The catastrophic-absorption pattern that historical political economy has produced after state capture, and the educational mandate that does not depend on catastrophe to operate. A clinical-administrative analysis of the cognitive substrate of artificial intelligence, the political category of the externally hosted self, and the educational mandate that follows. For readers engaged with Shoshana Zuboff's The Age of Surveillance Capitalism, Julie Cohen's Between Truth and Power, and the contemporary literature on AI governance, platform politics, and the conditions of human judgment under conditions of platform-mediated cognition.…

Taschenbuch. Zustand: Neu. Neuware - The test is perfect. The provenance is poisoned.Jovan Dimitrovski has spent thirty years making a number mean the same thing twice. A Macedonian-born psychometrician at an Atlanta credentialing body, he is the quiet authority behind the certification exams that decide who gets to work in American healthcare - the keeper of the anchor items, the handful of questions that never change, so that everything else can be measured against them.Then a routine statistical review returns a result that should not exist: a scattered cohort of test-takers performing perfectly on exactly the wrong questions. Not cheaters - the evidence clears them. Something stranger. Sixty thousand practice questions are circulating in the market, lawful, excellent, and statistically indistinguishable from the secure exam itself. Nobody stole the questions. Something learned to write them.As Jovan traces the flood backward - through data brokers, licensed corpora, and the digitized remains of a defunct storefront in Skopje - the trail bends toward a table in 1995, a winter of unpaid rent, and forty questions a brilliant young man once sold for four months' survival, certain the two halves of his life would never meet.Now an AI has learned his craft from his own buried past. The exam scale is drifting. Forty-one thousand candidates are waiting on results. And the only person alive who can name the source of the corruption is the author of the audit - a man who must choose between a report that is safe and a report that is complete, knowing they cannot be the same document.Anchor Items is a novel about measurement and the people it measures: immigrants and gatekeepers, fathers and daughters, the questions that hold still so the world can move. Written in cool, forensic prose that tightens like an audit, it stands alone - and completes the acclaimed sequence begun with Recommended Action and Contributing Factor: three novels about what our systems know, what they forget, and who pays when the two are reconciled.For readers of literary thrillers about technology, conscience, and the price of a clean record.…

Taschenbuch. Zustand: Neu. Neuware - Two hundred and six people are dead. Every one of them received perfect care. Dr. Frances Reddick has spent ten years as Director of Mortality Review for the Kesselring Network - eleven hospitals, fourteen hundred death reviews, her signature on every finding. The care was timely. The protocols were followed. No individual practitioner action or omission was ever identified as a contributing factor. Then, on a cold February morning, an old habit from her years as a forensic pathologist - check the margins before you close - puts a pattern in her hands that ten years of correct reviews were never built to see: patients who came to the hospital again and again, who were known by name at the triage desk, and who entered the system, every time, as strangers with no history at all. There is no villain. There is no cover-up. The software is flawless. The doctors are blameless. The policies are reasonable - every single one. And the only law with the power to prove what happened is the same law that makes it unspeakable: the peer-review privilege, the shield that lets physicians tell the truth about their worst days, the shield that saves lives every Tuesday in a sealed room - the shield Frances herself has defended for a decade. To establish what killed two hundred and six people, she will have to take apart the one institution in American medicine that works exactly as designed. And she will have to do it knowing that the man who built it - her closest friend, retiring in six weeks - may be right that breaking it will kill more people than it saves. A grieving daughter with twenty-five-dollar death certificates and twenty-one years of fighting insurance companies is the only person ahead of her. A machine that cannot say you again is the only witness. And the answer, when it comes, has been sitting in a public drawer the entire time - filed, notarized, and read by no one whose job it was to look. From the authors of RECOMMENDED ACTION: a standalone literary thriller about the deaths that happen when every sentence is correct and no one reads the whole document - and about what one meticulous woman owes the two hundred and six people whose files carry her name. The record exists. That is not the same as being read. …

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. 348 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. pp. 342 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam.