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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

Pandemics, Power, and Parliaments

Asia in Times of Crisis

A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Build AI Models from Scratch (No PhD Required) Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today’s most powerful AI models from scratch. No experience with deep learning required! Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You’ll start from the basics, and using PyTorch with real datasets, you’ll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub. You’ll build and train models to:&nbsp; <ul><li>Classify and analyze images, sequences, and time series</li><li>Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models</li><li>Process natural language with recurrent neural networks and transformers</li><li>Model molecules and physical systems with graph neural networks</li><li>Improve continuously through reinforcement and active learning</li><li>Predict chaotic systems with reservoir computing</li></ul> Whether you’re an engineer, scientist, or professional developer, you’ll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you’ll move from using AI tools to creating them.

Deep Learning Crash Course

A USA Today Bestseller. A dramatic new future of work in which managers assemble exactly the expertise they need—within minutes. 2026 PROSE Award Winner: Business, Finance, and Management "If you’ve ever wished you could assemble your version of The Avengers at work, this book will help you make it happen.” —Adam Grant, #1 New York Times-bestselling author of Think Again and host of the podcast Re:Thinking Gone are the days of static organizational charts and staffing based on the manager’s rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort. This is the future promised by flash teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face. They distill lessons from their own work assembling and managing flash teams on demand that every manager can learn from so they can successfully use flash teams in their own organizations. Drawing on original research and industry examples, this book will help readers to: <ul><li>Recognize and source needed expertise within minutes</li><li>Anticipate and plan team designs with AI</li><li>Redesign team structures on the fly as projects evolve</li></ul> Industries are already being transformed by this new approach to teaming. Flash Teams arms leaders, managers, and entrepreneurs with the tools they need to accomplish their goals with confidence, speed, and agility.

Leading the Future of AI-Enhanced, On-Demand Work

Flash Teams

Schriften zum Äußerungs- und Medienrecht

Alexander Heimann

Die Beurteilung von Faktenchecks nach dem Äußerungsrecht

'A brilliant and important book' - Chris van Tulleken, author of Ultra-Processed People 'A smart first step into completely resetting your digital life' - Stylist A social media ban for under 16s does not make the problem disappear. Teenagers will have to use their devices differently now and Smartphone Nation provides the practical solutions you and your family need to take back control. In this acclaimed book, Dr Kaitlyn Regehr, one of the world's leading digital literacy experts, gives you the knowledge and the language to explain the reasons behind the ban, why social media can be so harmful and the often disturbing reasons why we each see the particular content we do. The tools in Smartphone Nation are there to help you understand, advocate, and parent around these tricky, constantly changing issues. From issues of misinformation, body dysmorphia, pornography, to online bullying, this essential guide helps you and your family become more intentional over screen usage - whatever the screen you are using. 'Equips us with the practical tools needed to build a healthier, happier future for ourselves and our kids' - Daisy Greenwell, co-founder Smartphone-Free Childhood 'A candid, rigorous, and witty read on how to stop digital devices from wreaking havoc on our lives' - Adam Grant, author of Think Again

Why We're All Addicted to Screens and What Your Family Can Do About It

Smartphone Nation

Political Science and International Studies (R0)

Ann Fitz-Gerald

Vijay Ganesh

Jatin Nathwani

Maral Niazi

Münür Sacit Herdem

Foundational Principles of AI Governance and Policy

Creative industries are increasingly dominated by digital platforms, yet the distribution of value within these sectors, from music and video games to visual arts, remains deeply unequal. Recent examples include the remuneration of artists on streaming platforms and the use of creative works in AI training data. This imbalance threatens human creativity and cultural diversity. In this book, Benhamou exposes the flaws in current models of value allocation and the inequities embedded within copyright systems. Focusing on the often-overlooked contributors to creative works, the book advocates rethinking copyright and contract through a lens of distributive justice to ensure equitable compensation for all stakeholders in the creative process, including individual creators, invisible workers and digital workers.

Copyright and Beyond for a Better Value Distribution

Creative Value Chains

Young Academics: Politikwissenschaft

Eine Diskursanalyse der Bundestagsdebatten zum Bundes-Klimaschutzgesetz

A leading psychologist and philosopher challenge the shortcomings of rational choice theory-and propose a new framework for understanding decision-makingFor many decision scientists, their starting point-drawn from economics-is a quantitative formula called rational choice theory, allowing people to calculate and choose the best options. The problem is that this framework assumes an overly simplistic picture of the world, in which different types of values can be quantified and compared, leading to the "most rational" choice. Behavioral economics acknowledges that irrationality is common but still accepts the underlying belief from economics of what a rational decision should look like.In this book, Barry Schwartz and Richard Schuldenfrei offer a different way to think about the choices we make every day. Drawing from economics, psychology, and philosophy-and both inspired by and challenging Daniel Kahneman's Thinking, Fast and Slow-they show how the focus on rationality, narrowly understood, fails to fully describe how we think about our decisions, much less help us make better ones. Notably, it overlooks the positive contribution that framing-how we determine what aspects are most important to us-contributes to good decisions. Schwartz and Schuldenfrei argue that our choices should be informed by our individual "constellation of virtues," allowing for a far richer understanding of the decisions we make and helping us to live more integrated and purposeful lives.

Rationality, Ethics, and the Art of Decision-Making

Choose Wisely

Varia

Sperling & Kupfer

Dalla passione precoce per la tecnologia alla creazione di due startup high tech fino all'ingresso in Apple, Edoardo Serra ha vissuto dall'interno uno degli ecosistemi creativi più avanzati al mondo, contribuendo allo sviluppo di prodotti come Siri, capaci di entrare nella vita quotidiana di milioni di persone. A Cupertino scopre una disciplina radicale: ogni dettaglio conta, le idee vengono messe alla prova senza sconti, la qualità non è negoziabile. Poi arriva il salto più grande: lasciare un colosso globale per tornare a fare ciò che ama, costruire da zero a uno. È qui che, alla terza startup, ha ormai maturato una convinzione profonda: la vera innovazione nasce dal dialogo costante tra ciò che immaginiamo e ciò che funziona davvero. In questo mondo, le certezze scompaiono e ogni scelta pesa. Serra fonda e guida nuove imprese tecnologiche affrontando ciò che nei racconti di successo spesso non si vede: notti senza risposte, paralisi decisionale, investitori da convincere, team da costruire, mercati da interpretare. In questa autobiografia, con lucidità e ironia, racconta il percorso di una mente curiosa e ostinata: che cade, corregge la rotta e riparte con più consapevolezza. Perché errori e deviazioni non sono un fallimento, ma passaggi necessari verso possibilità e soluzioni inattese. Das Urheberrecht an bibliographischen und produktbeschreibenden Daten und an den bereitgestellten Bildern liegt bei Informazioni Editoriali, I.E. S.r.l., oder beim Herausgeber oder demjenigen, der die Genehmigung erteilt hat. Alle Rechte vorbehalten.

Il fallimento non esiste. Dall'Italia alla Silicon Valley: sbagliare, ricominciare e continuare a reinventarsi

Dieses Buch bietet einen elementaren und anschaulichen Einstieg in die Programmierung für mathematische Zwecke sowie die damit verbundenen Kompetenzen. Es konzentriert sich auf wenige grundlegende Konzepte und verwendet zur Umsetzung die leicht zugängliche Programmiersprache Python; dadurch wird ohne großen technischen Ballast eine große Vielfalt mathematischer Anwendungen erschlossen – von der Zahlentheorie und klassischen Numerik über Optimierung, Differentialgleichungen und Simulationen hin zur 3D-Computergrafik, Clusteranalyse und Computeralgebra. Die einzelnen Kapitel beinhalten Übungsaufgaben, die von und einfachen technischen Übungen bis zu Miniprojekten reichen.
Das Buch richtet sich insbesondere an Lehramtsstudierende und bietet bei Bedarf die Möglichkeit zum Einsatz in der Schule: Viele der vorgestellten Themen und Projekte können bereits ab der späten Sekundarstufe I und der Sekundarstufe II bearbeitet werden.
Für die vorliegende 2. Auflage wurden etliche Überarbeitungen vorgenommen: Die Inhalte wurden aktualisiert, teilweise gestrafft, einige Themen wurden ausgebaut bzw. neu aufgenommen – etwa Computational Thinking und KI. Die Beispieldateien und Lösungen der Aufgaben werden nun online als Jupyter-Notebooks bereitgestellt, so dass direkt damit gearbeitet werden kann. Neu sind außerdem kurze Fragen, die zum Innehalten, Reflektieren sowie ggf. eigenen Ausprobieren einladen.

Dieses Buch bietet einen elementaren und anschaulichen Einstieg in die Programmierung für mathematische Zwecke sowie die damit verbundenen Kompetenzen. Es konzentriert sich auf wenige grundlegende Konzepte und verwendet zur Umsetzung die leicht zugängliche Programmiersprache Python; dadurch wird ohne großen technischen Ballast eine große Vielfalt mathematischer Anwendungen erschlossen – von der Zahlentheorie und klassischen Numerik über Optimierung, Differentialgleichungen und Simulationen hin zur 3D-Computergrafik, Clusteranalyse und Computeralgebra. Die einzelnen Kapitel beinhalten Übungsaufgaben, die von und einfachen technischen Übungen bis zu Miniprojekten reichen.Das Buch richtet sich insbesondere an Lehramtsstudierende und bietet bei Bedarf die Möglichkeit zum Einsatz in der Schule: Viele der vorgestellten Themen und Projekte können bereits ab der späten Sekundarstufe I und der Sekundarstufe II bearbeitet werden.Für die vorliegende 2. Auflage wurden etliche Überarbeitungen vorgenommen: Die Inhalte wurden aktualisiert, teilweise gestrafft, einige Themen wurden ausgebaut bzw. neu aufgenommen – etwa Computational Thinking und KI. Die Beispieldateien und Lösungen der Aufgaben werden nun online als Jupyter-Notebooks bereitgestellt, so dass direkt damit gearbeitet werden kann. Neu sind außerdem kurze Fragen, die zum Innehalten, Reflektieren sowie ggf. eigenen Ausprobieren einladen.

Mathematik aktiv erleben durch Programmieren in Python

Mathematische Algorithmen im Unterricht

Audits are no longer random-and compliance is no longer manual. Today, artificial intelligence determines which businesses get audited, how deeply investigators dig, and whether a review escalates into penalties or quietly disappears.

AI Audit Defense &amp; Risk Reduction reveals how modern enforcement systems actually work-and how smart businesses use the same AI logic to stay protected, credible, and invisible to unnecessary scrutiny.

This book is not about fear, loopholes, or hiding income. It's about designing a business that algorithms trust.
Inside, you'll discover how AI-driven tax authorities evaluate risk, how audit scores are calculated, and how to proactively shape your financial data so your business remains statistically clean, defensible, and low-priority for investigation-year after year.
In this book, you'll learn how to:Understand how AI selects businesses for IRS audits and regulatory reviews
Identify the hidden financial patterns that silently increase audit risk
Use AI to calculate and monitor your business's audit risk score
Build a complete digital audit trail that satisfies both humans and machines
Detect compliance red flags in real time-before filings are submitted
Respond to audit inquiries strategically without escalating scrutiny
Turn past audits into intelligence that lowers future risk
Design long-term compliance systems that create "audit immunity"
Make defensible financial decisions that remain explainable years later
Transform compliance from a liability into a competitive advantage


Who this book is for:Business owners and entrepreneurs
Investors and real estate professionals
Consultants, agencies, and service firms
Online businesses and multi-entity operators
Anyone who wants to grow without triggering regulatory attention



If you want to stop worrying about audits, understand how enforcement algorithms really work, and build a business that thrives under constant observation, AI Audit Defense &amp; Risk Reduction gives you the framework, mindset, and systems to do exactly that.
In the age of AI-driven enforcement, the safest businesses aren't the smallest or quietest-they're the smartest.

How Businesses Avoid Costly IRS Investigations

AI Audit Defense & Risk Reduction

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

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