<div class="raw-html-embed"> <a href="https://staempflirecht.ch/schweizerische-zivilprozessordnung-art-1352-zpo-sowie-art-400408-zpo/ean-9783727222108">
 Jetzt bestellen
</a>
: Schweizerische Zivilprozessordnung (Art. 1–352 ZPO sowie Art. 400–408 ZPO)</div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Berichte aus der Elektrotechnik

Schierholz C: Methods of Machine
Learning for Analysis and Decoupling of

Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Elements in Law, Economics and Politics

This Element provides an overview of FinTech branches and analyzes the associated institutional forces and economic incentives, offering new insights for optimal regulation. First, it establishes a fundamental tension between addressing existing financial inefficiencies and introducing new economic distortions. Second, it demonstrates that today's innovators have evolved from pursuing incremental change through conventional Fin-Tech applications to AI × crypto as the fastest-growing segment. The convergence of previously siloed areas is creating an open-source infrastructure that reduces entry costs and enables more radical innovation, further amplifying change. Yet this transformation introduces legal uncertainty and risks related to liability, cybercrime, taxation, and adjudication. Through case studies across domains, the Element shows that familiar economic tradeoffs persist, suggesting opportunities for boundary-spanning regulation. It offers regulatory solutions, including RegTech frameworks, compliance-incentivizing mechanisms, collaborative governance models, proactive enforcement of mischaracterizations, and alternative legal analogies for AI × crypto.

Past, Present, and Future

FinTech Regulation in the United States

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.This book is your practical guide to building exactly those kinds of systems with the Raspberry&nbsp;Pi AI&nbsp;HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core&nbsp;AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge&nbsp;AI from cloud AI-plus an honest look at ethical considerations and future impacts.Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry&nbsp;Pi&nbsp;OS, power and cooling, and develop in Python using the Thonny&nbsp;IDE. You'll learn GPIO basics with lights and servos, mount the AI&nbsp;HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge&nbsp;AI from buzzword into buildable reality.

AI Projects for the Raspberry Pi with the AI HAT+

Edge AI Made Practical

An intimate portrait of the world's most brilliant tech visionary and his game-changing company DeepMind, from award-winning financial journalist and historian Sebastian Mallaby Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

We're living through a transformation as profound as electricity or the printing press, yet AI often feels more like hype than help. With clear language, vivid illustrations, and humor, veteran AI researcher Sairam Sundaresan unpacks machine learning, natural language, computer vision, and recommender systems, showing how they drive the tech we use daily. You'll learn how AI works, where it appears, and how to make smarter choices about its role in your life and work. In two parts, the book moves from core concepts to real applications while debunking myths and stripping away buzzwords.

An Illustrated Introduction

AI for the Rest of Us

'Engaging, insightful, panoramic' Mustafa Suleyman, CEO of Microsoft AI &amp; Cofounder of DeepMind 'An eye-opening exploration of a revolution unfolding before our eyes' New York Journal of Books Stunning advances in digital technology have introduced a new wave of human-like AI systems. Chatbots like ChatGPT, Claude, and Gemini are already reshaping economies, challenge democracies, and reshaping society in unpredictable ways. And soon, these AI systems could make autonomous decisions on their users' behalf, transforming everything we do. Understanding how they work is crucial. Can AI systems think, know, and understand?Could they manipulate or deceive you, and if so, what might they make you do? Whose interests do they represent? When will they be able to move beyond words and take action in the real world? Neuroscientist and AI researcher Christopher Summerfield explores these questions, charting AI's evolution from early ideas in the seventeenth century to today's deep neural networks. His book is the most accessible, up-to-date, and authoritative exploration of this radical technology. With an understanding of AI's inner workings, we can address the existential question of our age: can we look forward to a technological utopia, or are we writing ourselves out of history? 'As a leading authority...Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like - and unlike - ourselves' Brian Christian, co-author of Algorithms to Live by 'You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris's book before you decide' Mike Woolridge, author of The Road to Conscious Machines

How AI Learned to Talk and What It Means

These Strange New Minds

THE AGI CHRONICLES is not a futurist manifesto, an academic chin-stroker, a corporate biography, or a self-help manual. It's the inside story of the birth of AGI, as told by the people who are bringing it into existence, or trying to stop it from coming into existence, and who are grappling with the consequences before anyone else.Building Artificial General Intelligence - a machine that is as smart or smarter than humans, at everything our brains can do - has been the goal for the world's biggest technology companies for about the last decade, and it is probably the most consequential technological project in history.&nbsp;Only a few hundred people are fully awake to what's actually happening on the AI frontier, or how short the timelines are. Powerful AI will reshape society -&nbsp;and most governments and big corporations already view this conclusion as obvious, as evidenced by the trillions of dollars they're spending to get there first.&nbsp;New York Times&nbsp;journalist Kevin Roose may be the only person who can tell this story. He has put his life on hold, gone to the heart of the action, interviewed those who have been involved in building this technology, digging up secrets and putting together the first major behind-the-scenes account of this race.And the people building powerful AI are much, much weirder than you'd think. If you dig beneath the corporate veneers, the AI scene here is full of messianic claims, cult-like dynamics, and a degree of belief in the inevitability and imminence of powerful AI that can strike the uninitiated as genuinely insane.This is gripping, characterful, first draft of history that reads like a non-fiction thriller, for readers of THE BIG SHORT, CARELESS PEOPLE and AMERICAN PROMETHEUS. It's the book that people will turn to one hundred years from now as a defining account of the moment our species was changed for ever.

The AGI Chronicles

SpringerBriefs in Service Science

Towards Trustworthy and Reliable Services Systems with New AI

Scenarios Engineering for Services Science

Revolution of AI and Machine Learning for Design and Automation

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Machine Learning and Fuzzy Systems

Computational Optimization

The Sunday Times and #1 New York Times Bestseller 'The Technological Republic is far too important to ignore' Times Literary Supplement Silicon Valley's brightest minds once collaborated with governments to advance technologies, securing the West's dominance on the global stage. But that relationship has corroded - with perilous repercussions for us all. Lifting the veil on tech giant Palantir and its broader political project, visionary co-founder and CEO Alexander C. Karp and his long-time deputy Nicholas W. Zamiska offer a searing critique of our collective culture of complacency. To regain geopolitical power and preserve our freedoms, we must tackle the world's most pressing challenges - including the artificial intelligence arms race - together and head-on. Now is the time for the West to wake up. 'Bold and ambitious ... Essential reading' Eric Schmidt 'Fascinating' Financial Times 'A stirring manifesto' Niall Ferguson 'Provocative and insightful' Jamie Dimon

Hard Power, Soft Belief, and the Future of the West

The Technological Republic

So setzen Sie generative KI in der Lehre einGenerative KI revolutioniert das Lehren und Lernen - nutzen Sie diese Chancen für Ihre Praxis und lernen Sie, KI gewinnbringend und verantwortungsvoll einzusetzen! Dieses Handbuch zeigt Ihnen Schritt für Schritt, wie Sie ChatGPT &amp; Co. in Ihre Lehre integrieren oder zum Vortragen und Präsentieren nutzen. Egal, ob Sie neugierig sind, skeptisch oder fasziniert: Sie erhalten hier einen umfassenden Methodenkoffer mit sofort einsetzbaren Techniken. Dominik Freinhofer führt Sie von den Grundlagen über die Unterrichtsplanung bis zur individuellen Lernförderung. Mit konkreten Anleitungen, wiederverwendbaren Prompt-Vorlagen und praxiserprobten Beispielen aus verschiedenen Fachbereichen machen Sie sich fit für den KI-Einsatz und gestalten die Zukunft des Lehrens und Lernens gut informiert mit.<ul><li>Generative KI verstehen</li><li>Techniken zum Lehren, Lernen und Präsentieren</li><li>Gute Prompts, Praxistipps, wiederverwendbare Vorlagen</li><li>Effektive Vorbereitung, individuelles Training, passgenaue Aufgaben u. v. m. für alle Fachgebiete</li></ul>Aus dem Inhalt:<ul><li>Wie KI funktioniert</li><li>Grundlagen für den Einsatz großer Sprachmodelle</li><li>Prompt Engineering: Konzepte und Techniken</li><li>Individuelles Lernen fördern</li><li>Den eigenen Vortragsstil verbessern</li><li>Unterstützung für schwierige Lehrsituationen</li><li>Lernfortschritte und Leistungen analysieren</li><li>KI direkt beim Lernen einsetzen</li><li>Fachspezifische Ideen entwickeln</li><li>Grenzen verstehen und fundiert entscheiden</li></ul>

So setzen Sie generative KI in der Lehre einGenerative KI revolutioniert das Lehren und Lernen – nutzen Sie diese Chancen für Ihre Praxis und lernen Sie, KI gewinnbringend und verantwortungsvoll einzusetzen!Dieses Handbuch zeigt Ihnen Schritt für Schritt, wie Sie ChatGPT &amp; Co. in Ihre Lehre integrieren oder zum Vortragen und Präsentieren nutzen.Egal, ob Sie neugierig sind, skeptisch oder fasziniert: Sie erhalten hier einen umfassenden Methodenkoffer mit sofort einsetzbaren Techniken.Dominik Freinhofer führt Sie von den Grundlagen über die Unterrichtsplanung bis zur individuellen Lernförderung. Mit konkreten Anleitungen, wiederverwendbaren Prompt-Vorlagen und praxiserprobten Beispielen aus verschiedenen Fachbereichen machen Sie sich fit für den KI-Einsatz und gestalten die Zukunft des Lehrens und Lernens gut informiert mit.Generative KI verstehenTechniken zum Lehren, Lernen und PräsentierenGute Prompts, Praxistipps, wiederverwendbare VorlagenEffektive Vorbereitung, individuelles Training, passgenaue Aufgaben u. v. m. für alle FachgebieteAus dem Inhalt:Wie KI funktioniertGrundlagen für den Einsatz großer SprachmodellePrompt Engineering: Konzepte und TechnikenIndividuelles Lernen fördernDen eigenen Vortragsstil verbessernUnterstützung für schwierige LehrsituationenLernfortschritte und Leistungen analysierenKI direkt beim Lernen einsetzenFachspezifische Ideen entwickelnGrenzen verstehen und fundiert entscheiden

KI in Lehre, Weiterbildung und Training

How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks.

How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life.

Maximizing Well-Being in the Age of AI

Thrive

Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Weitere Titel zum Thema