Artificial intelligence

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector.

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems.

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing.

Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology.

As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential.

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.

This book is a guide to Storycasting for futures and forecasting practitioners.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Unlock the power of Mistral models by building embeddings, RAG systems, and coding assistants that deliver real-world AI solutions.

Advanced Hydraulic Engineering: Applications and Optimization is a comprehensive resource that delves into the advanced principles, methodologies, and real-world applications of hydraulic engineering.

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines.

This book comprehensively discusses the latest trends and developments in healthcare applications, including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology.

Securing Health: The Convergence of AI and Cybersecurity in Healthcare explores how emerging technologies are revolutionizing modern medicine, ensuring not just innovation but safety and trust in the digital age.

PROMPTED is a clear and practical guide that makes AI interaction accessible to a wide audience.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content.

In today's rapidly evolving digital landscape, banks are not only financial institutions but also technology-driven enterprises.

As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential.

The 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence.

This book aims to illustrate the value of design in a systematic and scientific manner to reap the full benefits of design.

AI-Driven Sustainability: The Future of Human Resources Management is an interdisciplinary publication that demonstrates the artificial intelligence phenomenon or AI in the sustainable shaping of human resources management.

Much of what is said about AI is misleading - or just plain wrong.

This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration.

Master OpenAI's Agents SDK to design production-ready AI agents and agentic systems that solve real-world problems with practical guidanceGet your book with a free PDF, AI Assistant, and Next-Gen ReaderKey FeaturesGain a complete understanding of the OpenAI Agents SDK features including models, tools, memory, guardrails, orchestration, tracing, and multi-agent systemsProgressively build AI agents through several hands-on projects that evolve from a simple workflow to a complex multi-agent systemImplement advanced agent capabilities such as RAG, MCPs, administration, workflow integration, and much moreBook DescriptionEveryone s talking about AI agents, but how do you build one that works in the real world?

AI and Sustainable Transformations presents cutting-edge research and insights into the role of Artificial Intelligence (AI) and emerging technologies in driving human-centered innovation and sustainable transformation across various industries.

Much of what is said about AI is misleading - or just plain wrong.

This collection critically examines the opportunities and challenges associated with the use of AI-based tools in translation, which have rapidly transformed the language industry in recent years.

The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data.

This book describes a non-fiction scenario in which humanity will survive in the universe immortallyby the creation of look-alike biomimetic humanoid robots with special consciousness in which thehumanoid robot knows that it is modeling a human master (owner) with an identity and a lifevita (resume, life story, and memories).

Localization and mapping play a critical role in the autonomous task execution of mobile robots.

Bewusstsein gilt seit jeher als Ausweis des Lebendigen - gebunden an Korper, Stoffwechsel und Verganglichkeit.

What happens to law when the human body becomes replicable, the mind readable, and identity programmable?

AI and Sustainable Transformations presents cutting-edge research and insights into the role of Artificial Intelligence (AI) and emerging technologies in driving human-centered innovation and sustainable transformation across various industries.

Modern human societies rely on measurements.

This collection critically examines the opportunities and challenges associated with the use of AI-based tools in translation, which have rapidly transformed the language industry in recent years.

AI-Driven Sustainability: The Future of Human Resources Management is an interdisciplinary publication that demonstrates the artificial intelligence phenomenon or AI in the sustainable shaping of human resources management.

While the Industrial Internet of Things (IIoT) and Wireless Sensor Networks (WSNs) continue to redefine industrial infrastructure, the need for proactive, intelligent, and scalable cybersecurity solutions has never been more pressing.

Localization and mapping play a critical role in the autonomous task execution of mobile robots.

What happens to law when the human body becomes replicable, the mind readable, and identity programmable?

This book explores the critical role of LiDAR technology in autonomous navigation and advanced driver assistance systems (ADAS).

The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis.

This book offers a comprehensive guide to navigating the transformation of the workforce due to the influence of artificial intelligence (AI) across industries and discusses detailed strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape.

This book describes a non-fiction scenario in which humanity will survive in the universe immortallyby the creation of look-alike biomimetic humanoid robots with special consciousness in which thehumanoid robot knows that it is modeling a human master (owner) with an identity and a lifevita (resume, life story, and memories).

The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data.

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