Alexiei Dingli – författare

Explore the inner workings of AI along with its limitations and future developments and create your first transparent and trustworthy neuro-symbolic AI systemPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesUnderstand symbolic and statistical techniques through examples and detailed explanationsExplore the potential of neuro-symbolic AI for future developments using case studiesDiscover the benefits of combining symbolic AI with modern neural networks to build transparent and high-performance AI solutionsBook DescriptionNeuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.What you will learnGain an understanding of the intuition behind neuro-symbolic AIDetermine the correct uses that can benefit from neuro-symbolic AIDifferentiate between types of explainable AI techniquesThink about, design, and implement neuro-symbolic AI solutionsCreate and fine-tune your first neuro-symbolic AI systemExplore the advantages of fusing symbolic AI with modern neural networks in neuro-symbolic AI systemsWho this book is forThis book is ideal for data scientists, machine learning engineers, and AI enthusiasts who want to explore the emerging field of neuro-symbolic AI and discover how to build transparent and trustworthy AI solutions. A basic understanding of AI concepts and familiarity with Python programming are needed to make the most of this book.

With the proliferation of technology, science became a medium used to create and interpret heritage in a way that redefines human achievements.

With the proliferation of technology, science became a medium used to create and interpret heritage in a way that redefines human achievements.

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields.

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields.

This book presents selected proceedings from two installments of the MAD Conference in 2020—MAD Blockchain 2020 and MAD Artificial Intelligence 2020. These events focused on applications of these novel technologies in media, arts and design. A number of researchers present their own projects and practical implementations of blockchain and AI in games, art, education and sustainable living, while other authors explore theoretical and ethical questions that these technologies bring into society. First and foremost, we recommend this book to aspiring scholars and practitioners who are also building new solutions using blockchain and AI. Besides, the book extends the existing scholarship on AI and blockchain and provides proven cases and tools for education in ICT.The conference has been organized by Danube-University Krems, Drexel University Philadelphia and University of Malta with support from the MIT Education Arcade, the Texas A&M LIVE Lab and University of Vaasa.

The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study.

The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study.

Delivering a clear blueprint for harnessing Artificial Intelligence responsibly, this book proves that well-designed systems can reduce travel delays, tailor lessons, expedite diagnoses, enhance sports, and simplify daily living.

Did you ever read something on a book, felt the need to comment, took up a pencil and scribbled something on the books’ text’? If you did, you just annotated a book. But that process has now become something fundamental and revolutionary in these days of computing. Annotation is all about adding further information to text, pictures, movies and even to physical objects. In practice, anything which can be identified either virtually or physically can be annotated. In this book, we will delve into what makes annotations, and analyse their significance for the future evolutions of the web. We will explain why it was thought to be unreasonable to annotate documents manually and how Web 2.0 is making us rethink our beliefs. We will have a look at tools which make use of Artificial Intelligence techniques to support people in the annotation task. Behind these tools, there exists an important property of the web known as redundancy; we will explain what it is and show how it can be exploited. Finally we will gaze into the crystal ball and see what we might expect to see in the future.Until people understand what the web is all about and its grounding in annotation, people cannot start appreciating it. And until they do so, they cannot start creating the web of the future.