Human and Artificial Rationalities. Advances in Cognition, Computation, and Consciousness
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
Fundamentals of Bioinformatics and Computational Biology
This book comprehensively covers all the core bioinformatics topics and includes practical examples completed using the MATLAB bioinformatics and machine learning toolboxes(TM). It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics to enable physical science students to appreciate the challenges in biological data management, sequence analysis, and systems biology. The book is divided into five parts. The first one includes a survey of existing biological databases and tools that have become essential in today's biotechnology research. The second part covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The third part of the book focuses on modeling biological sequences and patterns as Markov chains, covering core principles for analyzing and searching for sequences of significant motifs and biomarkers and developing stochastic ergodic hidden Markov models for biological sequence families. The fourth one is dedicated to systems biology and covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In turn, the last part of the book includes an introduction to machine-learning algorithms for bioinformatics and outlines strategies for developing intelligent diagnostic machine-learning applications, RNA sequence data, and deep learning systems for mass spectrometry data. All in all, this book offers a unique hands-on reference guide to bioinformatics and computational biology. This second edition has been updated to cover additional and most recent databases, and machine learning and deep learning applications in RNA sequence and mass-spectrometry data analysis. Moreover, it presents significant enhancements to the chapter dedicated to microarray analysis, and more practical examples, with additional end-of-chapter problems.
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.
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.
Design, Learning, and Innovation
This book constitutes the refereed proceedings of the 9th EAI International Conference on Design, Learning, and Innovation, DLI 2024, held virtually, during November 7-8, 2024. The 11 full papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Using Immersive Technologies for Learning, Accessibility, and Technological Innovation; and Engaging Learners through Gamification, Playful Design, and Generative AI.
The Military Metaverse
The Military Metaverse explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict.The military were early adopters of Virtual Reality and Augmented Reality technologies and wider simulation systems. Before 2010 they were one of the few sectors that could afford the technology, and millions of military R&D dollars went into developing and understanding these technologies. However, as the democratisation of metaverse technologies has happened over the past decade there is a danger that militaries have been overtaken and caught short, encumbered with expensive legacy systems, sold and maintained by expensive prime contractors, whilst the gaming and consumer market has cheaper and more innovative and agile systems. The book provides a history of the use of metaverse technologies in the military, particularly in the areas of design, maintenance, training, planning and operations. It then examines the current state of the art in these areas and the opportunities that are available from the current generation of consumer-driven approaches. The drivers for, challenges to, and paths towards an enterprise approach to the Military Metaverse are then presented. The book explores the military use of social virtual worlds, of early work done by defence and security organisations in worlds such as Second Life, and how such environments could become important for intelligence as well as influence operations in the future. Finally, the book will consider what war in the Metaverse might look like, both in terms on in-world activities and the impact of cyber-war on the Metaverse itself.It should be of interest to all militaries across the world, the industries that support them, and those in academia and the wider public with an interest in the military and defence.
Futureproofing Engineering Education for Global Responsibility
This book contains papers in the fields of: Virtual and augmented learning. Games in engineering education. Social aspects of digitalization. Technical teacher training. Accessible learning and technologies. Dance of data in educational science and practice. Engineering education for production and service structures of the future. Innovative approaches to STEAM education and music therapy through emerging technologies. We are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary and higher education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. Changes have been made in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools.
The Turing Test Argument
This book departs from existing accounts of Turing's imitation game and test by placing Turing's proposal in its historical, social, and cultural context.
The Military Metaverse
The Military Metaverse explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict.The military were early adopters of Virtual Reality and Augmented Reality technologies and wider simulation systems. Before 2010 they were one of the few sectors that could afford the technology, and millions of military R&D dollars went into developing and understanding these technologies. However, as the democratisation of metaverse technologies has happened over the past decade there is a danger that militaries have been overtaken and caught short, encumbered with expensive legacy systems, sold and maintained by expensive prime contractors, whilst the gaming and consumer market has cheaper and more innovative and agile systems. The book provides a history of the use of metaverse technologies in the military, particularly in the areas of design, maintenance, training, planning and operations. It then examines the current state of the art in these areas and the opportunities that are available from the current generation of consumer-driven approaches. The drivers for, challenges to, and paths towards an enterprise approach to the Military Metaverse are then presented. The book explores the military use of social virtual worlds, of early work done by defence and security organisations in worlds such as Second Life, and how such environments could become important for intelligence as well as influence operations in the future. Finally, the book will consider what war in the Metaverse might look like, both in terms on in-world activities and the impact of cyber-war on the Metaverse itself.It should be of interest to all militaries across the world, the industries that support them, and those in academia and the wider public with an interest in the military and defence.
User Engagement Research and Practice
This book presents a holistic overview of user engagement, which has become an increasingly important subject for a variety of industry and academic fields, including engineering, computer science, and information science. The author begins with a definition of user engagement and an explanation of the theoretical background of the topic. The book then covers methodological approaches and examines some of the broader factors that influence user engagement. The author explains methods for measuring user engagement and evaluates the efficacy of each one. The book includes examples from recent research studies throughout, describing user engagement in different settings with a variety of digital information systems.
Computer Vision, Pattern Recognition, Image Processing, and Graphics
This book constitutes the refereed proceedings of the 8th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2023. The papers presented in this volume were carefully reviewed and organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, and detection and recognition.
Infrastructure as Code
The past decade has seen cloud and infrastructure as code move out of shadow IT and startups and into the mainstream. Many organizations rushed to adopt new technologies as part of their transformation into digital businesses, creating a sprawl of unmaintainable infrastructure codebases. Now, there is a need to consolidate cloud-based systems into mature foundations for sustainable growth. With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a broader context for infrastructure, explaining how to design and implement infrastructure to better support the strategic goals and challenges of an organization, such as supporting growth while better managing costs. This book covers: Foundational concepts, including an exploration of declarative and procedural infrastructure languages, where infrastructure code fits into a comprehensive platform strategy and enterprise architecture, and how to test and deliver infrastructure code. Infrastructure architecture, drawing on lessons learned from software design and engineering to build infrastructure codebases that can be evolved and scaled to enable growth and adapt to changing needs. Patterns for building infrastructure to support platform services across the complicated, varied landscapes of real-world IT systems, from physical hardware to virtual servers to cloud-native clusters and serverless workloads. Workflows and operating models that combine automation and cloud with forward-thinking approaches like Agile and DevOps for rigorous governance of compliance, cost, security, and operational quality.
Industry Innovation in the Era of Artificial Intelligence
This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. The book will spark fresh thinking and provide a driving force for global industrial innovation. Author Xiaomei Wang, Founder and CEO of PathoAI, former Global Leader of Big Data and Analytics at IBM, as well as General Manager of IBM Growth Markets Unit Big Data Centers, draws on over 20 years of experience in data analytics and AI to offer unique insights and a rich collection of compelling industry case studies.Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential. By offering a blend of theoretical insight and practical guidance, it empowers readers to embrace AI as a catalyst for innovation and sustainable growth in their respective fields.
AWS Certified Data Engineer Study Guide
Quickly and confidently prepare for the AWS Certified Data Engineer: Associate Exam as you learn to perform in a real-world data engineering role In AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam, a team of veteran AWS professionals and experts delivers a hands-on playbook for the new DEA-C01 exam that comprehensively prepares you for a data engineering role in the real world. The author walks you through every competency tested on the AWS Certified Data Engineer: Associate Exam, including data ingestion and transformation, data store management, data operations and support, and data security and governance. This Study Guide prepares you to complete everyday data engineering tasks quickly, confidently, and correctly--the first time. In it, you'll find: Complimentary access to Sybex's superior online and interactive learning environment and test bank, including hundreds of practice test questions, electronic flashcards, and a glossary of key terms Authoritative and easy-to-read instruction written by Amazon Web Services (AWS) subject-matter experts Comprehensive guidance on the skills and competencies expected from new professionals in data engineering roles Perfect for anyone preparing for the AWS Certified Data Engineering: Associate Exam, this Study Guide is also a must-read for aspiring and practicing junior professionals in data engineering roles hoping to brush up on the key concepts and real-world knowledge you'll need in your day job.
China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs
Integrating Emerging Technologies Into Education and Training: Proceedings of the 2nd Etelt 2024 Workshop
Humanities in the Time of AI
Why AI offers a chance for the humanities to strengthen their relevance and significance If humanistic research consists of the generation of consensus positions, simple expression, summarized texts, or passable translations, then we have arrived at the place where AI is able to accomplish these different missions to a convincing degree. However, Laurent Dubreuil argues, such tasks do not, in any way, constitute the humanities. On the contrary, he posits, a maximalist take on scholarship would not focus on generation but on creation, as a subject and as an object. Dubreuil seizes the opportunity of what AI reveals about the meaning of humanistic inquiry to offer a path for the renewal of the humanities on transhistorical, transcultural, and transdisciplinary grounds.
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Computational Technologies and Electronics
This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23-25, 2023. The 46 full papers presented here were carefully selected and reviewed from 114 submissions. These papers have been organized in the following topical sections: Pat I- Pattern recognition & AI Part II- Data communication & security; Applied electronics.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Federated Learning in the Age of Foundation Models - FL 2024 International Workshops
This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows: FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume focuses on the following topics: Efficient Model Adaptation and Personalization, Data Heterogeneity and Incomplete Data, Integration of Specialized Neural Architectures, Frameworks and Tools for Federated Learning, Applications in Domain-Specific Contexts, Unsupervised and Lightweight Learning, and Causal Discovery and Black-Box Optimization.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII
The volume LNAI 15398 constitutes the revised selected papers of the 28th International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2024, held in Auckland, New Zealand, on May 7, 2024. The 9 full papers were carefully reviewed and selected from 10 submissions. The workshop focuses on both scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS.
The Domain of UX in Information Studies: Bridging Theories, Research, and Professional Practice
