Human-Machine Interface Technology Advancements and Applications
Medical Image Computing and Computer Assisted Intervention - Miccai 2024 Workshops
Massive Open Online Courses - Learning Frontiers and Novel Innovations
Artificial Intelligence Based Smart and Secured Applications
A Concise Introduction to Machine Learning
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and Matlab(R) which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise.This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.
Debiasing AI
In an era where artificial intelligence drives unprecedented change, Debiasing AI examines the vital intersection of technology, innovation, and sustainability. The book addresses the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. Through a multidisciplinary lens, the author examines how human biases are embedded in large language models, amplified by coded machine learning, and propagated through trained algorithms. Practical strategies are offered to address these issues, paving the way for the development of more equitable and inclusive AI technologies.With actionable insights, empirical case studies, and theoretical frameworks, Debiasing AI offers a roadmap for designing AI technologies that are not only innovative but also ethically sound and equitable. A must-read for scholars, industry leaders, and policymakers, this book inspires a reimagining of AI's role in creating a fairer and more sustainable future.
Crafty Game Writing
Every writer dreams of creating their own game world and telling their own stories. But creating a new game from scratch is different from working on an established franchise. If you're writing for Star Wars or Assassin's Creed or the Marvel Universe, the groundwork has already been laid for you. But what if you are the person who has to lay that groundwork? Where do you start? How do you decide which, among the endless story options, is the right one? How do you create a story that plays nice with the gameplay and pulls the player in?Alex Epstein, an experienced narrative director who has worked on half a dozen new IPs, takes you step-by-step through the process of creating compelling new worlds and characters that feel real.Of course, many challenges are the same, whether you're creating your own game or working within a franchise. How do you make players think they have maximum freedom when they absolutely do not? What makes players inhabit a game story, not just skip past it? How can "dirty narrative" (a term Epstein coined) increase player engagement?Packed with practical tips, Crafty Game Writing: Secrets of Great Videogame Narrative will help you understand the invisible infrastructure of player-pulled storytelling for video games - whether you aspire to make your own indie game or create the Next Big Thing for a AAA studio. The book is packed with tools to help the writer not only know what to write, but how to write it well. The author has created the narrative for half a dozen entirely new games (not based on prior i.p.) and discusses how to build characters and worlds out of nothing. (Note: most video game writers, including game writing book writers, have worked in franchises.) The book includes the semi-heretical "dirty narrative" writing technique, using mysteries, absences and translucent liars to pull the player into engagement with the game world and story.
Applications of Metaverse and Virtual Reality to Creative Education and Industry
Garden of Wisdom
Garden of Wisdom: Timeless Teachings in an AI Era is a transformative exploration of the intersection between ancient wisdom and modern technology. This book offers a comprehensive framework for the ethical evolution of artificial intelligence, integrating timeless principles from biblical narratives, ecological systems, and quantum consciousness. The book introduces groundbreaking concepts like Angelic Intelligence (AI), Nature Intelligence (NI), and regenerative design, urging readers to harmonize technological advancements with sustainability and human dignity. It addresses the challenges of the AI era with actionable strategies such as the Kosmic Tree of Life and Circadian AI, fostering a vision of a future guided by ethics and interconnectedness. Garden of Wisdom is not just a guide for AI professionals but a call to humanity to co-create a flourishing, sustainable world.
Integrated Uncertainty in Knowledge Modelling and Decision Making
Digital Twin and Blockchain for Sensor Networks in Smart Cities
Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions. Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.
Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City
In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability. Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.
Neural Network Methods for Dynamic Equations on Time Scales
Integrated Uncertainty in Knowledge Modelling and Decision Making
Drug Discovery and Telemedicine
Our proposed book emerges in response to the critical need for an interdisciplinary resource that encapsulates the burgeoning role of artificial intelligence (AI) in reshaping drug discovery and telemedicine. As these sectors witness transformative changes driven by AI technologies, there's a pressing demand for a comprehensive guide that navigates through these advancements, offering insights, methodologies, and practical applications to professionals at the forefront of healthcare and pharmaceutical research. At its core, the book delves into the intricate ways in which AI and machine learning algorithms are being harnessed to streamline the drug development process, from initial discovery through to clinical trials, and how these technologies are concurrently revolutionizing the delivery of healthcare services via telemedicine. Specific focus areas include the application of deep learning in identifying novel drug candidates, AI-driven predictive models for pharmacokinetics and pharmacodynamics, automation in laboratory research, and the integration of AI in diagnostic processes, personalized medicine, and patient monitoring systems. Each chapter not only explores current state-of-the-art methodologies and case studies but also critically examines challenges, such as data privacy, ethical considerations, and the need for robust, interpretable models that can be trusted by healthcare professionals and patients alike. Furthermore, the book places a strong emphasis on the synergistic potential of combining AI with telemedicine, illustrating how these technologies can expand access to healthcare, improve the accuracy of remote diagnoses, and enable continuous, data-driven patient care. By providing a panoramic view of current trends, technological innovations, and future directions, the book aims to serve as a pivotal reference for scientists, researchers, clinicians, and policymakers involved in drug discovery and healthcare delivery. In conclusion, this book stands as an essential compendium for specialists seeking to navigate the complexities and harness the opportunities presented by AI in the pharmaceutical and healthcare industries. It offers a critical, in-depth exploration of the transformative impact of AI technologies, underscoring their relevance and potential to dramatically enhance drug discovery and telemedicine practices. This publication not only equips its target audience with the knowledge to lead innovation in their fields but also engages with the broader ethical, social, and practical implications of AI, making it an invaluable resource for advancing towards more effective, efficient, and accessible healthcare solutions. The book is significant for several reasons: Interdisciplinary Appeal: It serves as a critical resource for professionals and researchers across the fields of computer science, pharmaceutical sciences, and healthcare, facilitating a deeper understanding of AI's potential and fostering interdisciplinary collaborations. Innovation in Drug Discovery: By highlighting novel AI methodologies in drug discovery, the book offers insights into how these technologies can shorten the development timelines, reduce costs, and increase the success rates of new therapies, which is crucial for addressing unmet medical needs. Revolutionizing Telemedicine: The detailed discussion on AI's role in telemedicine illustrates how these advancements can enhance access to healthcare, improve the quality of care, and make healthcare systems more efficient, especially in remote and underserved areas. Ethical and Regulatory Considerations: It likely addresses the ethical, privacy, and regulatory challenges associated with implementing AI in healthcare, offering guidelines for navigating these complexities while maximizing patient benefits. Future Directions: By exploring current trends and future possibilities, the book not only serves as a repository of current knowledge but also
Computational Intelligence for High-Dimensional Machine Learning
Blockchain and Digital Twin for Smart Healthcare
The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.
Microsoft Identity and Access Administrator SC-300 Exam Guide - Second Edition
