Artificial Intelligence Based Smart and Secured Applications
Debiasing AI
Debiasing AI examines the vital intersection of technology, innovation, and sustainability. It addresses the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. A must-read for scholars, industry leaders, and policymakers.
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.
Crafty Game Writing
Every writer dreams of creating their own game world and telling their own stories. 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?
Multi-Agent-Based Simulation XXV
This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications.
Efficient Analog Integrated Circuit Sizing with Genai
This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced machine learning models into the design workflow, the book showcases a transformative way to streamline the process while maintaining accuracy and reliability.
Integrated Uncertainty in Knowledge Modelling and Decision Making
This two-volume set constitutes the proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025, held in Ho Chi Minh City, Vietnam, during March 17-19, 2025. The 55 full papers in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: Part I: Invited Talks; Machine Learning; Pattern Recognition and Data Analysis; Applications. Part II: Uncertainty Management and Decision Making; Optimization and Statistical Methods; Applications.
Parallel Processing and Applied Mathematics
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8-11, 2024. The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections: Part I: Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPCSystems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing. Part II: First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication. Part III: First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical Sciences; and 8th Workshop on Complex Collective Systems.
Parallel Processing and Applied Mathematics
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8-11, 2024. The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections: Part I: Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPCSystems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing. Part II: First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication. Part III: First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in PhysicalSciences; and 8th Workshop on Complex Collective Systems.
Practical Generative AI with ChatGPT - Second Edition
Transform your professional world with ChatGPT and OpenAI-master prompt design to revolutionize development, marketing, research, and enterprise implementationKey Features: - Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding- Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results- Build custom GPTs and assistants tailored to your specific business needs and workflows- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow.Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You'll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs.The chapters show you how to use ChatGPT's multimodal capabilities to generate images with DALL-E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI's APIs into your applications. You'll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away.By the end of this book, you'll be well equipped to leverage OpenAI's technology for competitive advantage.What You Will Learn: - Explore the fundamentals of generative AI and GPT models- Master prompt engineering to consistently get relevant and reliable outputs from ChatGPT- Develop marketing strategies and conduct meaningful A/B testing with AI assistance- Boost your coding with code generation, review, and optimization- Enhance research with real-time knowledge mining- Enhance your visual creativity with image generation, image understanding, and style transfer- Design custom GPTs and assistants tailored to specific business functions- Discover how enterprises are leveraging large language models for their AI appsWho this book is for: This book is ideal for business professionals, developers, marketers, researchers, and decision-makers who want to leverage AI to enhance productivity. No advanced technical background is required for the foundational sections, making the content accessible to beginners, while later chapters provide depth for technical professionals implementing enterprise solutions. If you're seeking practical applications of generative AI in business contexts, you'll find immediate, actionable value in this book.Table of Contents- Introduction to Generative AI- OpenAI and ChatGPT: Beyond the Market Hype- Understanding Prompt Engineering- Boosting Day-to-Day Productivity with ChatGPT- Developing the Future with ChatGPT- Mastering Marketing with ChatGPT- Research Reinvented with ChatGPT- Unleashing Creativity Visually with ChatGPT- Exploring GPTs- Leveraging OpenAI Models for Enterprise- Scale Applications - Epilogue and Final Thoughts
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.
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.
Brain Informatics
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13-15, 2024. The 35 full papers 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Brain Informatics
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13-15, 2024. The 35 full papers and 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Integrated Uncertainty in Knowledge Modelling and Decision Making
This two-volume set constitutes the proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025, held in Ho Chi Minh City, Vietnam, during March 17-19, 2025. The 55 full papers in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: Part I: Invited Talks; Machine Learning; Pattern Recognition and Data Analysis; Applications. Part II: Uncertainty Management and Decision Making; Optimization and Statistical Methods; Applications.
Neural Network Methods for Dynamic Equations on Time Scales
Extended Reality
This LNCS conference set constitutes the proceedings of the First International Conference on Extended Reality, ICXR 2024, Xiamen, China, held during November 14-17, 2024.
Computer Vision - Accv 2024 Workshops
This 2-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on Computer Vision, in Hanoi, Vietnam, held during December 8-12, 2024. The 269 full papers included in this volume were carefully reviewed and selected from 839 submissions. The conference presents and discusses new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence.
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
Computer Vision - Accv 2024 Workshops
This 2-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on Computer Vision, in Hanoi, Vietnam, held during December 8-12, 2024. The 269 full papers included in this volume were carefully reviewed and selected from 839 submissions. The conference presents and discusses new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence.
How to Win: The Future of Law with Artificial Intelligence
We are living in a legal renaissance. Lawyers have never been more empowered to reimagine their profession thanks to AI. This title answers questions such as 'Will AI be better than me at my job?', 'Why do I need to start using AI?' and 'How will AI enhance my capability as a legal professional?' by providing advice on how lawyers and law firms can integrate new technology and improve their legal practice. The title further explains how to make interactions between lawyers and clients a win-win for all parties involved, while increasing client retention and profit for the firm.This book is written by a lawyer, for other lawyers, minus the legalese. It is based on the author's personal observations of the legal industry and interviews with her colleagues across various practice areas and all levels of seniority. It aims to bring forward ideas for improvement. Using examples from the UK, EU and the US across corporate law, contract law, mergers and acquisitions and litigation, this title is relevant to lawyers in private practice specialising in all areas of the law.Are you a practising lawyer at a law firm? Do you sometimes feel like the legal industry is held back by tradition and could use some shaking up? Perhaps you are a mover and shaker yourself. In any case, this book is for you if you are curious about possibilities to improve the legal industry. The book also includes a list of AI tools that are beneficial in legal work.This title is included in Bloomsbury Professional's Cyber Law online service.
Pattern Analysis and Machine Intelligence
This book constitutes the referred proceedings of the First International Conference on Pattern Analysis and Machine Intelligence, ICPAMI 2024, held in Shanghai, China, from August 30 to September 01, 2024. The 28 papers presented here were carefully reviewed and selected from 56 submissions. These papers have been organized under the following topical sections: Computer Vision and Pattern Recognition; Natural Language Processing (NLP) and Machine Learning; Intelligent System and Optimization Algorithm.
Microsoft Identity and Access Administrator SC-300 Exam Guide - Second Edition
Human and Artificial Rationalities. Advances in Cognition, Computation, and Consciousness
This book constitutes the proceedings of the Third International Conference on Human and Artificial Rationalities, HAR 2024, which took place in Paris, France, in September 2024. The 19 full papers and 4 short papers included in this book were carefully reviewed and selected from 52 submissions. They are organized under the following topical sections: Artificial reasoning and models; Moral reasoning; Artificial intelligence and cognition; Rationality and Dual Process; Reasoning and special needs; Education; Experimental procedures in cognition. * This book also contains one additional paper from the HAR 2023 conference.
Machine Learning and Data Mining for Sports Analytics
This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.
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.
Advanced Snowflake
As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming. The platform's rapid development gave rise to advanced tools like Snowpark and the Native App Framework, which are crucial for optimizing data operations but may seem complex to navigate. In this essential book, author Muhammad Fasih Ullah offers a detailed guide to understanding these sophisticated tools, ensuring you can leverage the full potential of Snowflake for data processing, application development, and deploying machine learning models at scale. You'll gain actionable insights and structured examples to transform your understanding and skills in handling advanced data scenarios within Snowflake. By the end of this book, you will: Grasp advanced features such as Snowpark, Snowflake Native App Framework, and Iceberg tables Enhance your projects with geospatial functions for comprehensive geospatial analytics Interact with Snowflake using a variety of programming languages through Snowpark Implement and manage machine learning models effectively using Snowpark ML Develop and deploy applications within the Snowflake environment
Genai on AWS
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
Microsoft Excel 365 Bible
Your complete guide to Excel 365, written for newbies all the way to seasoned professionals Neatly organised and written using accessible language, Microsoft Excel 365 Bible contains everything that readers need to know to get up and running quickly with Excel. Covering the numerous updates to Excel 365 since the previous edition was published in 2022, this Second Edition contains many useful examples and tips and tricks that cover all essential aspects of Excel--from the basics, such as navigating the user interface, to more advanced topics, such as creating visualisations and crafting custom functions. Written by an accomplished team of authors with decades of Excel and business intelligence experience, this book explores topics including: Entering and editing worksheet data, with information on data types, formulas, dates, times and other cell contents Building formulas with Excel table objects, correcting common formula errors and using formula variables Working with data series, changing basic chart elements and making use of chart customization Loading data from other sources, performing common transformations and applying conditional logic Microsoft Excel 365 Bible earns a well-deserved spot on the bookshelves of all professionals and individuals seeking to get the most out of Excel 365, from beginners with limited knowledge of the software all the way to advanced users with years of experience under their belts.
AI for Beginners
Feeling overwhelmed by AI jargon and endless resources? Wondering how to get hands-on AI experience in this fast-paced field without losing your mind? Many beginners struggle, but with this step-by-step guide, that can change.Here's what you'll uncover: - A 31-day plan to master AI and reshape your tech perspective - Three beginner-friendly projects to apply AI concepts, such as voice assistants and recommendation systems- Navigating AI's ethical and societal impacts - AI's role in healthcare, finance, and marketing- A guide for integrating AI into your career, especially in marketing and data analysis - Debunking common AI misconceptions - A beginner's guide to AI programming languages like Python- Interactive exercises to elevate you from novice to competent AI practitioner...and more! Do you think you can't handle it because you're not tech-savvy? This book simplifies complex ideas into manageable steps. Unlike rapidly outdated guides, it offers ongoing insights into the latest trends and advancements. This is more than a book; it's a reliable ongoing resource.Whether for career growth, personal development, or curiosity, this guide equips you with the tools to succeed.Ready to tackle AI jargon and gain practical experience? Scroll up and click "Add to Cart" now!
Building Personality-Driven Language Models
This book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI interactions feel more human-like, the book guides you through the process of applying psychological assessments to AIs, enabling them to exhibit traits such as extraversion, openness, and emotional stability. Perfect for developers, researchers, and entrepreneurs, this work merges psychology, philosophy, business, and cutting-edge computing to enhance how AIs understand and engage with humans across various industries like gaming and healthcare. The book not only unpacks the theoretical aspects of these advancements but also equips you with practical coding exercises and Python code examples, helping you create AI systems that are both innovative and relatable. Whether you're looking to deepen your understanding of AI personalities or integrate them into commercial applications, this book offers the tools and insights needed to pioneer this exciting frontier.
