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Geçer T: The Financial Technology
Revolution

The Financial Technology Revolution

Theory, Innovation, and Revenue Streams

edition suhrkamp

Mit Programmen wie ChatGPT hat künstliche Intelligenz ein solches Niveau erreicht, dass es kaum noch möglich ist, zu erkennen, ob ein Text von einem Computer stammt oder von einem Menschen. 
 Können Sie mit Bestimmtheit ausschließen, dass diese Zeilen von einem Algorithmus verfasst wurden?
 
 
 
 Für die Rezeption von Geschriebenem bedeutet das eine Zeitenwende. Wenn wir stets unterstellen müssen, dass hinter einem Text KI steckt, ergibt die Unterscheidung natürlich/artifiziell keinen Sinn mehr - eine postartifizielle Ära bricht an. Hannes Bajohr erörtert, wie sich diese Verschiebung auf Zeitungsartikel oder wissenschaftliche Publikationen auswirkt und wie sie das literarische Lesen und Schreiben verändert.

Mit Programmen wie ChatGPT hat künstliche Intelligenz ein solches Niveau erreicht, dass es kaum noch möglich ist, zu erkennen, ob ein Text von einem Computer stammt oder von einem Menschen. 
 Können Sie mit Bestimmtheit ausschließen, dass diese Zeilen von einem Algorithmus verfasst wurden?Für die Rezeption von Geschriebenem bedeutet das eine Zeitenwende. Wenn wir stets unterstellen müssen, dass hinter einem Text KI steckt, ergibt die Unterscheidung natürlich/artifiziell keinen Sinn mehr – eine postartifizielle Ära bricht an. Hannes Bajohr erörtert, wie sich diese Verschiebung auf Zeitungsartikel oder wissenschaftliche Publikationen auswirkt und wie sie das literarische Lesen und Schreiben verändert.

Lesen im Zeitalter künstlicher Intelligenz

Postartifizielle Literatur

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

suhrkamp taschenbuch wissenschaft

David J. Chalmers liefert eine verblüffende Analyse unserer technologischen Zukunft. Er argumentiert, dass virtuelle Welten keine Welten zweiter Klasse sind, dass wir in ihnen ein sinnvolles Leben führen können – ja, uns vielleicht schon in einer Simulation befinden! Chalmers nutzt die Technologie der virtuellen Realität, um neue, erhellende Perspektiven auf altbekannte philosophische Fragen zu eröffnen. Woher wissen wir, dass es eine Außenwelt gibt? Gibt es einen Gott? Was ist die Natur der Realität? Was ist die Beziehung zwischen Geist und Körper? Gespickt mit gewitzt veranschaulichenden Illustrationen ist Realität+ ein Grundlagenwerk für die Diskussion über Philosophie, Wissenschaft und Technologie.

Virtuelle Welten und die Probleme der Philosophie

Realität+

Series On Intelligence Science

This popular science compendium provides an approximate, holistic but first ever solution to the four Holy Grail questions: How does a brain work? How does the brain learn? How does its consciousness arise? How does learning require consciousness?The volume explains how human brains require and learn consciousness and why the new AI will overcome the current lack of conscious learning algorithms in AI. For human societies, it suggests how governments can make their taxpayers safer, more prosper and happier. For future AI, it calls for a thorough investigation in scientific infrastructures like government and private funding agencies, publication venues, professional societies and administrators that evaluate research. Why did a conscious learning algorithm not have a healthy environment to study? Why could rampant misconducts of data deletion in deep learning be allowed to grossly exaggerate AI performances for so long? The author's real-life accounts reveal deep reasons.The useful reference text benefits laymen in all walks of life, as well as professionals, researchers, academics and students in any areas.

Conscious Learning: Humans And Machines

Learn how to manage the risks and opportunities of agentic AI with this practical guide to ensuring the safe and beneficial developments of advanced AI systems.

Principles and Responsible Practices

Safer Agentic AI

This unique compendium develops a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. It introduces the key elements of a parametric statistical model: likelihood, prior, and posterior, and show how to use them to make predictions.The book covers classical techniques such as multiple regression and the Kalman filter in a clear, accessible style that has been popular with students, but also includes detailed treatments of state-of-the-art models, highlighting tree-based methods, support vector machines and kernel methods, deep learning, and reinforcement learning. Theories are supplemented by real-world examples.This reference text is useful for undergraduate, graduate and even PhD students in quantitative finance, and also to practitioners who are facing the reality that data science and machine learning are disrupting the industry.

Statistical Machine Learning With Applications In Finance

De Gruyter Studium

Algorithmen und Datenstrukturen

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers

Advances in Quantum Computing

Quantum Computing in Cybersecurity and Artificial Intelligence

Sustainable Finance

As the landscape of wealth management undergoes significant transformation, driven by advancements in technology, an increasing emphasis on sustainability, and a generational shift within the industry, this comprehensive volume explores cutting-edge sustainable financial management strategies. It highlights the integration of Artificial Intelligence (AI), Sustainable Development Goals (SDGs), and Environmental, Social, and Governance (ESG) criteria.
The comparison between passive and active asset management is examined to help readers understand the resilience and suitability of each strategy. The book also looks at ESG (Environmental, Social, and Governance) strategies and SDG (Sustainable Development Goals) aligned investments, providing illustrative case studies for both. It discusses active ownership and stakeholder strategies, highlighting the unique contributions of female shareholder activism.
The book scrutinizes the regulatory environment, focusing on how global financial hubs define and promote sustainable investments. It also analyzes impact investing with a focus on measuring impacts and returns using practical case studies. The rise of green fintech, the concept of assetization, and the implementation of AI in asset management are explored. Key findings emphasize the resilience and sustainability in portfolio strategies and new KPIs. The book provides a guidelines for sustainable finance practices that align with global sustainability goals. It appeals to finance professionals wanting to learn how to build a sustainable and resilient investment portfolio.

As the landscape of wealth management undergoes significant transformation, driven by advancements in technology, an increasing emphasis on sustainability, and a generational shift within the industry, this comprehensive volume explores cutting-edge sustainable financial management strategies. It highlights the integration of Artificial Intelligence (AI), Sustainable Development Goals (SDGs), and Environmental, Social, and Governance (ESG) criteria.The comparison between passive and active asset management is examined to help readers understand the resilience and suitability of each strategy. The book also looks at ESG (Environmental, Social, and Governance) strategies and SDG (Sustainable Development Goals) aligned investments, providing illustrative case studies for both. It discusses active ownership and stakeholder strategies, highlighting the unique contributions of female shareholder activism.The book scrutinizes the regulatory environment, focusing on how global financial hubs define and promote sustainable investments. It also analyzes impact investing with a focus on measuring impacts and returns using practical case studies. The rise of green fintech, the concept of assetization, and the implementation of AI in asset management are explored. Key findings emphasize the resilience and sustainability in portfolio strategies and new KPIs. The book provides a guidelines for sustainable finance practices that align with global sustainability goals. It appeals to finance professionals wanting to learn how to build a sustainable and resilient investment portfolio.

Creating Resilient and Sustainable Portfolios

Sustainable Asset Management

Dive into the cutting-edge integration of deep learning with audio signal processing in this authoritative guide. Designed for audio engineers, data scientists, and tech enthusiasts, this book demystifies the complex world of deep neural networks, including CNNs and RNNs, and their applications in speech recognition, music transcription, and sound event detection.Explore the practical side of deep learning with hands-on tutorials using TensorFlow and PyTorch, building your intuition for model architectures and hyperparameter tuning. Gain insights into real-world deployment challenges, from data preprocessing to model evaluation, interpretability, and scalability. Industry case studies and best practices illuminate the path to building efficient and effective deep learning-based audio systems.This book empowers you with the knowledge to leverage the full potential of deep learning in audio processing, offering a comprehensive resource for tackling sophisticated audio tasks. Whether you're a researcher, engineer, or enthusiast, this guide is your key to mastering the synergy of audio signal processing and deep learning, ensuring you approach audio-related challenges with confidence and proficiency. &nbsp;

General Audio Signal Processing with Deep Learning

The Financial Technology Revolution

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