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

Federated Learning for the Metaverse

Applications in Virtual Environments

The funniest serial killer thriller full of twists and turns you'll read all year

I Think We Should Kill Other People

Theoretical and Computational Chemistry

Methods and Applications

Introduction to Computational Chemistry

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

AI and Data Science in Medical Research

Apparatus, Nostalgia, Obsolescence

Theatre as Technology

Powered by Hyperscale Computing and Next Generation Networks

AI-Driven Smart Healthcare

Images in The Age of Heat

Medium Hot

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.
Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.
Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Eine kulturhistorische Reise von der Vergangenheit in unsere Zukunft

Künstliche Intelligenz und Mensch

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

'Excellent' - Geoffrey Hinton, the 'godfather of AI' and 2024 Nobel Laureate in Physics 'An indispensable guide to both ourselves and the coming age of AI' - Mustafa Suleyman, bestselling co-author of The Coming Wave How does our consciousness - our ability to think, feel and act - actually work? How is this human intelligence different from artificial intelligence? And as we stand on the brink of a new era of machine intelligence, how are these realms of intelligence beginning to intersect? In The Emergent Mind, leading scientists Gaurav Suri and Jay McClelland offer a groundbreaking new perspective on these urgent questions. By examining the concept of emergence - where complex systems arise from the interaction of simple elements - they reveal how mind-like abilities form in both human intelligence and AI. Drawing on the foundational idea of neural networks, a framework inspired by the human brain and now the bedrock of modern AI, this insightful book offers a clear and accessible path to understanding how intelligence takes shape. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. they are showing how a data-driven neural network can create thoughts, emotions and ideas - a mind - whether in humans or machines. Written by experts at the forefront of cognitive science and AI, The Emergent Mind is an essential read for anyone captivated by the mysteries of human intelligence or the transformative rise of AI. 'Fascinating' - Lisa Feldman Barrett, author of How Emotions Are Made 'Deeply stimulating and disarmingly accessible' - Robert Sapolsky, author of Determined 'Lucid, invaluable' - Steven Pinker, author of Rationality

How Intelligence Arises in People and Machines

The Emergent Mind

Federated Learning for the Metaverse

Weitere Titel zum Thema