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Shabnam: Connections & Consequences: A
Deep Dive into the World of Media

Connections & Consequences: A Deep Dive into the World of Media

Young Academics: Politikwissenschaft

Eine Diskursanalyse der Bundestagsdebatten zum Bundes-Klimaschutzgesetz

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

The Definitive Guide

The Ghidra Book, 2nd Edition

Should we give up privacy to fight disease, for national security, or to help train AI systems? Recent crises, from the Covid-19 pandemic to the Russian invasion of Ukraine, from Gaza and Afghanistan to the seemingly unstoppable rise of AI, have put privacy under severe pressure. Privacy in Crisis argues the opposite: these crises show that privacy needs to be protected even more. Privacy in Crisis looks at vital current issues: at political manipulation and misinformation, government surveillance, racial tension, hybrid and cyberwarfare (and real wars, such as those in Ukraine and Gaza), the overwhelming power of the internet giants, and surveillance society, and how interference with privacy is key in all of them. It shows how specific crises bring many of these issues together in perfect storms of privacy invasion. The different threats to our privacy revealed by these crises tell parallel stories and are inextricably linked. There are common themes and common technologies - the threats involve the same data, the same profiling systems and the same approaches. In many cases the systems are run or owned by the same small set of companies, controlled by the same few people. Addressing them is difficult but possible - this essential book outlines how.

Law and Policy in Times of Extremism, Pandemics, and War

Privacy in Crisis

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

Build Bayesian Networks and Causal Inference Models with R and Python

Causal Inference with Bayesian Networks

How AI is shaped by Western religious culture and universal existential aspirations—and why we think we need it in the first place. Artificial Religion argues that to fully understand our puzzling relation to AI, we must first look at the religious and existential background of our thinking about machines. Mapping some surprising connections between our history of thought about machines and Western religious narratives to political issues and existential human needs and aspirations, Mark Coeckelbergh offers a better understanding of our relationship to machines and why we think we need them at all. The book is unique in not just discussing the myth of AI in terms of its technical limitations and the power of Big Tech but also revealing the deeper cultural “grammar” of AI—that is, the religious patterns of thinking and existential aspirations that are often not visible but still haunt Western thinking and shape its technological culture. Moreover, this is done in a way that sheds critical light on the power of AI.

How AI is shaped by Western religious culture and universal existential aspirations—and why we think we need it in the first place. Artificial Religion argues that to fully understand our puzzling relation to AI, we must first look at the religious and existential background of our thinking about machines. Mapping some surprising connections between our history of thought about machines and Western religious narratives to political issues and existential human needs and aspirations, Mark Coeckelbergh offers a better understanding of our relationship to machines and why we think we need them at all. The book is unique in not just discussing the myth of AI in terms of its technical limitations and the power of Big Tech but also revealing the deeper cultural “grammar” of AI—that is, the religious patterns of thinking and existential aspirations that are often not visible but still haunt Western thinking and shape its technological culture. Moreover, this is done in a way that sheds critical light on the power of AI.

On AI, Myth, and Power

Artificial Religion

edition suhrkamp

Die von Elon Musk ins Leben gerufene Abteilung für Regierungseffizienz, DOGE, war nur die Spitze des Eisbergs. In den letzten Jahren hat das Silicon Valley die Macht in den USA übernommen. Meta, Palantir &amp; Co. bestimmen jetzt, wer reguliert, ja, wer regiert. Günstlinge der Tech-Milliardäre durchsetzen den Verwaltungsapparat. Energiepolitik wird fast nur noch für die Kryptobranche und KI-Startups gemacht. Und die anti-woke Agenda der Titanen münzt Trump eins zu eins in Dekrete um. 
In Investorenmeetings und in Hörsälen, in Science-Fiction-Büchern, Fortpflanzungskliniken und in Sadomaso-Kellern spürt Adrian Daub dem nach, was für diese Konzerne, was für ihre Lenker, Dominanz bedeutet. Sie haben die Herrschaft an sich gerissen. Aber verstehen sie überhaupt, was herrschen ist?

Die von Elon Musk ins Leben gerufene Abteilung für Regierungseffizienz, DOGE, war nur die Spitze des Eisbergs. In den letzten Jahren hat das Silicon Valley die Macht in den USA übernommen. Meta, Palantir &amp; Co. bestimmen jetzt, wer reguliert, ja, wer regiert. Günstlinge der Tech-Milliardäre durchsetzen den Verwaltungsapparat. Energiepolitik wird fast nur noch für die Kryptobranche und KI-Startups gemacht. Und die anti-woke Agenda der Titanen münzt Trump eins zu eins in Dekrete um. In Investorenmeetings und in Hörsälen, in Science-Fiction-Büchern, Fortpflanzungskliniken und in Sadomaso-Kellern spürt Adrian Daub dem nach, was für diese Konzerne, was für ihre Lenker, Dominanz bedeutet. Sie haben die Herrschaft an sich gerissen. Aber verstehen sie überhaupt, was herrschen ist?

Was das Valley herrschen nennt

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

Chicago Guides to Writing, Editing, and Publishing

In this thoroughly updated fourth edition, a trusted editor offers a comprehensive guide to selecting--and working with--a book publisher. For more than two decades, writers have turned to William Germano's Getting It Published as a guide to the world of serious book publishing, including university presses. A professor, author, and thirty-year veteran of the book industry, Germano knows what editors want and what writers need to do to get their work published. This fourth, thoroughly updated edition of Getting It Published accounts for new challenges facing authors and changed conditions in the publishing industry. From open access to peer review, from approaching a press to considering an agent, publishing can be confusing for authors trying to understand their options. This new edition continues to offer the clear, practicable guidance on choosing the best path to publication that has made the book such a trusted resource. Its latest revisions include an expanded chapter on proposals (and their covering emails) as well as current information on the shifting landscape of ebook publishing. But this book is more than a nuts-and-bolts guide. It takes up a writer's biggest challenges: how to frame a book-length project, shape its argument, conceive its audience, and pitch it convincingly to an editor. Getting It Published reflects the latest changes and technologies in the publishing industry but keeps its eye on what remains constant: Whether working on their first book or their fifth, writers can make their work stronger by knowing what publishers do and why they do it.

A Guide for Scholars and Anyone Else Serious about Serious Books

Getting It Published, Fourth Edition

Willkommen in einer Republik, in der alles geregelt ist - außer die Zukunft.
 Das Land mit den Formularen in dreifacher Ausfertigung. Hier wird erst geprüft, dann vertagt, dann ein Arbeitskreis gegründet.Dieses Buch ist für alle, die nicken und innerlich schreien.Die 40 Stunden die Woche im Büro, als Handwerker, Landwirte oder Pflegekräfte malochen und sich fragen, wann genau unsere Republik den Verstand verloren hat. Für arbeitende Eltern, die mit einem Fuß im Büro und dem anderen im Kinderzimmer stehen - und lächelnd dem strukturellen Versagen zuwinken.Wann sind Frauen in unserem Wirtschaftssystem eigentlich al dente und wann begreifen wir endlich, dass die jungen Hasen zwar schneller laufen können, die Alten mit über 50 jedoch die Abkürzungen kennen.Lesen Sie morgens auch die Nachrichten und fragen sich, ob das, was da geschieht, noch Regierung ist - oder eher Gruppentherapie?Atmen Sie tief ein - dieses Buch übernimmt das Ausrasten für Sie.Dieses Buch ist eine Sammlung pointierter Alltagsbeobachtungen über Politik, Wirtschaft und gesellschaftliche Absurditäten - zum Lachen, Nachdenken und für etwas Seltenes: ehrliche Selbstreflexion."Erfrischend, pointiert, klar und zugleich gespickt mit den Beobachtungen zahlreicher realer Fälle bringt Julia Neuen den aktuellen Wahnsinn auf den Punkt. Mit feinem Sarkasmus und präziser Satire liefert sie Denkanstöße, die ebenso unterhalten wie aufrütteln. Wer Politik, Bürokratie und die Widersprüche unserer Zeit verstehen - und dabei herzlich LACHEN und manchmal vielleicht auch WEINEN - möchte, sollte dieses Buch unbedingt lesen."Prof. Dr. Anja Lüthy
 "Julia Neuen gehört zu den spannendsten gesellschaftskritischen Stimmen unserer Zeit. Mit Humor, Klarheit und Mut zum Klartext spricht sie aus, was viele denken - aber nur wenige so treffend formulieren. Ein Buch, das man gelesen haben sollte."Prof. Dr. Björn Bloching

Warum wir in einer gereizten Republik den Verstand verlieren

Ich atme ein. Ich raste AUS!

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

This practical guide will help spreadsheet pros save time and boost productivity using beginner Python tools – without having to become a programmer. Automate Excel with Python bridges the gap between Excel expertise and Python programming without forcing you to start from scratch. Unlike other programming guides, it’s specifically designed for Excel users who need more power and automation, not for professional programmers. This book focuses on enhancing your existing Excel skills rather than replacing them. You’ll learn how Python’s dataframes work like virtual spreadsheets, extending what you already know while automating repetitive tasks. You’ll be able to import and export data seamlessly between Excel and Python to integrate coding into your current workflow. Concise, practical examples throughout will get you up and running quickly. Each topic addresses real problems Excel users face, with solutions you can implement immediately. The structure is deliberately flexible. Chapters progress logically but stand independently, so you can jump to exactly what you need without reading everything that came before. This makes it perfect for solving urgent problems or learning at your own pace. You’ll apply the techniques you learn to automate reports, clean messy data, perform complex calculations, and handle large datasets that would overwhelm Excel alone—all while leveraging your existing spreadsheet knowledge.

A Practical Guide for Nonprogrammers

Automate Excel with Python

This book analyses the evolution of competition and shifts in user behaviour over the past quarter-century, since 2000, within Japan’s network media market from an economic perspective. It focuses on Japan’s distinctive media market, characterised by the traditionally high market share of terrestrial advertising broadcasts and public service broadcasting, and conducts a step-by-step empirical analysis over time based on a wealth of data—a feature that is unique. Furthermore, by analysing not only the platforms but also viewer behaviour on the demand side, and by examining the state of digitalisation and internet distribution, the study offers a comprehensive analysis. Additionally, by focusing on bias in the newspaper market—where political impartiality is not mandated by law—and exploring the possibility of skewed reporting frequency and volume rather than content itself, the book makes a novel contribution. It thus serves as a scholarly work that offers valuable insights for future institutional design in the media market.

The Evolution of the Japanese Media Market

The Economics of Network Media

Connections & Consequences: A Deep Dive into the World of Media

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