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Kerem Yalçinkaya

Machine Learning in Algorithmic Trading

WINNER OF THE FT SCHRODERS BUSINESS BOOK OF THE YEAR 2025 A SUNDAY TIMES, ECONOMIST AND FINANCIAL TIMES BOOK OF THE YEAR 'Gripping and brilliantly told' MUSTAFA SULEYMAN 'Highly entertaining' GUARDIAN 'Excellent' ECONOMIST 'Riveting ... exceptional' RAY KURZWEIL 'Page-turning' DAVID EPSTEIN This is the story of the company that is inventing the future. Nvidia is the world's first $5-trillion company and the most important corporation on Earth. Led by its charismatic CEO, Jensen Huang, it has gone from video game equipment manufacturer to conquering the global market for AI hardware, reinventing the computer and shaping life as we know it. With unprecedented access to Huang, award-winning investigative journalist Stephen Witt takes us inside Nvidia to tell the definitive story of the greatest technology company of our times. It is the astonishing story of renegade engineers and Silicon Valley disrupters, of fearless entrepreneurs and one revolutionary leader with an extraordinarily singular vision. 'The rarest of books on tech - one that may just leave you feeling good about an entrepreneur founder and optimistic about the future' SUNDAY TIMES

Jensen Huang, Nvidia, and the World’s Most Coveted Microchip

The Thinking Machine

This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.

The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. 

This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.

What you will learn:
Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.

How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.

How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.

Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recovery




Who this book is for:
This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.

Harnessing AI and SDN to Revolutionize Modern Work Environments

AI Agents for Secure and Software-Defined Networking

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

SpringerBriefs in Service Science

Towards Trustworthy and Reliable Services Systems with New AI

Scenarios Engineering for Services Science

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Sustainable Finance

Integrating ESG, FinTech, and AI to Reshape Financial Markets and Investment Strategies

Sustainability, Digital Transformation, and AI-Driven Innovation

This book responds to the need to distinguish human creations from those produced by AI. It does so by tracing human attributes of authorship and inventorship in statutory requirements for protection and ownership in European copyright and patent laws. Its main contribution lies in exposing shortcomings in how the laws are applied in the UK, Germany, and France. It shows that the human origin of creations is traditionally inferred from their expressive form or technical character. Given the advancements in AI, such inferences are no longer legitimate. What is more, these shortcomings may eventually lead to granting copyright or patent protection where none is lawfully permitted or sufficiently justified. To remedy the situation, this book offers doctrinal and conceptual amendments and proposes law reforms to implement them. This book guides authorities, practitioners, and students through the main arguments of the debate concerning copyright and patents for objects entirely or partly generated by AI. It also makes original contributions to advance the ongoing academic and policy debates on AI and intellectual property law.

Authorship and Inventorship Revisited

Copyright and Patent Laws for the Age of Artificial Intelligence

The Law of Financial Crime

This book examines current challenges in the field of criminal protection against market abuse at the international and local levels. Divided into two parts, the first opens with an examination of general issues, including the philosophical foundations of market abuse prohibitions and the challenges arising from technological developments in this area. Closing the first part of the book, the authors outline new perspectives on the protection of market integrity in the context of sustainable finance and the crime of market manipulation. Part II examines market protection against abuse in 14 countries. As well as providing a comparative perspective, this section draws out broader implications, such as: the search for an alternative law enforcement strategy; the importance of compliance programs in preventing market manipulation; the right to remain silent in proceedings before the supervisory authority; problems arising from the interplay of criminal sanctions and administrative sanctions of a criminal nature; and the importance of how information is obtained for the application of the insider trading prohibition in some jurisdictions. Written by academics and practitioners, the book will be a valuable resource for academics, researchers and policy-makers working in the areas of financial and economic crime and comparative law.

International and Local Perspectives

Legal Protection against Financial Market Abuse

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

This innovative textbook edited by international experts in technology law and policy provides a comprehensive and accessible guide into the fast-evolving landscape of technology law and policy in the UK and the EU. The recent wave of regulatory reforms adopted by UK and EU regulators increases the complexity of Internet law as it had developed in the past decades. Recognising the ever-growing importance of artificial intelligence in today's public discourse, the textbook extends beyond traditional legal sectoral frameworks, and explores the intersection of law, technology, and public policy to describe and critically reflect on current and emerging issues in the modern information society. This exploration follows thematic areas of interest, such as adtech, privacy by design, predictive policing, and social media, while also providing accessible historical overviews of how policy has developed in specific fields including platform liability, copyright, or data protection, and case studies on key topics. The companion website provides multimedia resources to delve deeper into specific topics; introductory materials for readers that are unfamiliar with the EU legal system; and teaching resources. Law, Policy, and the Internet is an essential resource for anyone seeking to navigate the complexities of internet regulation in an era of exponential technological change.

Law, Policy, and the Internet

This book examines the impact of artificial intelligence (AI) on globalization, in relation to economics, society, and policy. It explores the broad and diverse ways that AI is changing the global ecosystem, including firm behaviour changes, labour market disruption, reduced production costs, and climate change concerns, to highlight both the positive and negative impacts of AI. By anticipating the potential impacts of AI, a framework is presented to combat the negative aspects and maximise the benefits.
This book offers a balanced and considered perspective on AI and the role it will play in the global economy. It will be of interest to students, researchers, and policymakers working in international economics, the political economy, and economic policy, as well as general readers interested in AI.
Nicola Acocella is Emeritus Professor of Economics at Sapienza University of Rome.

Utilizing AI for the Benefit of Humanity

The Economics of Globalization and Artificial Intelligence

This book offers a comprehensive and application-oriented exploration of Artificial Intelligence and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. It is designed to equip readers with a deep understanding of how intelligent systems learn from data, interpret human language, and support automated decision-making across real-world contexts.Natural Language Processing for Business and Organizations: Research and Innovation cover key areas such as machine learning, deep learning, text representation, language modeling, information extraction, sentiment analysis, and AI-driven analytics, while also discussing system design considerations for deploying NLP solutions at scale. Through carefully structured chapters, the book integrates theoretical insights with practical examples, case studies, and applied workflows, enabling readers to translate algorithms and models into effective AI applications. Written by a team of academic researchers and industry practitioners, the book emphasizes responsible and value-driven AI, including ethical considerations, data quality, and model evaluation.This book is written for advanced undergraduate and postgraduate students, researchers, and professionals seeking to build, evaluate, and apply AI and NLP systems in academic, enterprise, and societal domains.

Research and Innovation

Natural Language Processing for Business and Organizations

Machine Learning in Algorithmic Trading

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