This book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.

Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, and many other topics.

Artificial Intelligence has emerged as a miracle which has transformed lives and communication from the core. AI technologies have enabled the brands to make automated decisions based on data collection, data analysis and trends which has significantly impacted brand marketing.The AI techniques is a new dimension which has paved an unprecedented path to shape businesses to deepen brand-consumer relationship. This book has showcased that how AI has seeped in and transformed brand performance, can scale customer personalization and precision in ways,fuels the consumer need of interactivity and impacted content creation, strategizing brand and its assessment.AI is a new tomorrow as it is touching consumer behaviour in infinite ways. This book has highlighted through case studies that how AI has converged a virtual reality platform providing immersive brand experiences to its users, can create simulation models and personalized purchasing processes through recommendations based on machine learning technologies and interaction with virtual assistants which has made many brands adopting AI to stay ahead and sustain in future. This book is strongly recommended for brand managers, researchers, brand professionals, academicians, students and organizations as it unknots the role of AI in augmenting branding and affecting human life in a substantial way.

This book constitutes the proceedings of the 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2019, held in Cambridge, UK, in December 2019. The 29 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 49 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications; applications of evolutionary algorithms; machine learning for time series data; applications of machine learning; and knowledge acquisition.

As artificial intelligence (AI) continues to seep into more areas of society and culture, critical social perspectives on its technologies are more urgent than ever before. Bringing together state-of-the-art research from experienced scholars across disciplines, this Handbook provides a comprehensive overview of the current state of critical AI studies.

This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices. Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies. This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.

Trust and Artificial Intelligence: Development and Application of AI Technology explores the crucial role of trust in the development and application of artificial intelligence (AI) technology. The book discusses the challenges and opportunities associated with building trust in AI systems and highlights the importance of transparency, accountability, and ethics in creating trustworthy AI. Drawing on the latest research and case studies, the book provides valuable insights and practical strategies for building trust in AI that can be applied by developers, policymakers, and end-users. It is a must-read for anyone interested in the intersection of technology and society and the future of artificial intelligence. Across its two distinct sections, the book delves deep into both theoretical frameworks and real-world applications. Section I, "Trust in Artificial Intelligence Technology," comprises 12 insightful chapters, each shedding light on different aspects of trust in AI. From ethical considerations and the credibility of AI systems to the intricacies of blockchain technology and digital therapists, the book offers a kaleidoscope of perspectives, showcasing how trust shapes and is shaped by AI advancements. Section II, "Trust in Artificial Intelligence Technology Applications," extends the discourse to practical implications and case studies. With 12 additional chapters, it scrutinizes the impact of AI on diverse sectors such as healthcare, agriculture, the labor market, and online shopping. It contemplates the trust dynamics in neural networks, public sector AI, and the burgeoning field of last-mile logistics. The book is more than just an academic text; it is a vital conversation starter in the ever-evolving discourse of AI. It challenges us to rethink our relationship with technology, underlining the critical role of trust in harnessing the full potential of AI for a better, more efficient, and ethically sound future.

This timely book provides an extensive overview and analysis of the law and regulation as it applies to the technology and uses of Artificial Intelligence (AI). It examines the human and ethical concerns associated with the technology, the history of AI and AI in commercial contexts.

Artificial intelligence (AI) is one of the most fascinating and impactful fields of science and engineering in the 21st century. It has the potential to transform every aspect of human life, from health care to education, from entertainment to security, from business to politics. But what is AI exactly? How does it work? What are its challenges and opportunities? And how can we use it responsibly and ethically? This book aims to answer these questions and more by providing a comprehensive and accessible introduction to AI for anyone who wants to learn about this exciting and important topic. The book covers the main concepts, methods, and applications of AI, with an emphasis on understanding the underlying principles and logic behind the algorithms and systems. The book also presents real-world examples and case studies that illustrate how AI can be used to solve various problems and create value in different domains.