Philosophy.Exe
We live in an age of unprecedented complexity, where technology, cognitive biases, and societal systems shape our decisions in ways we barely notice. The world is changing faster than our ability to make sense of it. Philosophy.exe is designed to bridge this gap, offering a mental toolkit to help navigate uncertainty, rethink assumptions, and make better decisions in a tech-driven world.Blending classical philosophy, cognitive science, AI ethics, and behavioral psychology, this book provides an adaptive framework for understanding the world. It challenges over-simplified models and rigid ideologies, encouraging readers to embrace complexity as a strategic advantage rather than a threat.What This Book Explores- Complexity Thinking - Why linear logic fails and how to develop a mindset that thrives in uncertainty.- Cognitive Biases & Decision-Making - How hidden mental shortcuts shape our beliefs, and how to counteract them.- Resilience & Mental Adaptability - Tools for maintaining clarity, focus, and critical thinking in a rapidly evolving landscape.- Technology & Human Autonomy - The philosophical and ethical challenges of AI, digital identity, and algorithmic decision-making.- Ethics Beyond Intentions - A pragmatic approach to decision-making that accounts for unintended consequences.Philosophy.exe is for those who seek to go beyond conventional wisdom--whether philosophers, strategists, leaders, or curious minds who question the narratives shaping modern life. It provides the tools to think deeply, adapt quickly, and engage critically in an era dominated by complexity and rapid technological evolution.In a world of misinformation, automation, and uncertainty, this book isn't just about philosophy--it's about survival.
Non-Reputable Identity Management and Information Access Technologies for Improved Cyberspace Agility by 2035
The military's use of cyberspace as a warfighting domain in current operations is vulnerable to hackers and malware. Today's cyber defense strategy is based on trust and perimeter boundaries. This strategy provides the DoD with little room for strategic or tactic errors and exposes our information superiority advantages to unnecessary risk. Emerging threats are becoming more sophisticated and organized, eroding the US's asymmetric advantage in cyberspace. By 2035, the emerging threats posed by insider threats, artificial intelligence and nation-states such as China will require game-changing innovations to defend cyberspace. The goal of this research paper is to propose an identity management and information access solution capable of mitigating emerging threats to military cyberspace operations in the year 2035. This solution requires that eight major technical challenges be overcome. This paper answers the following question for DoD strategic planners: What technologies and programs should the DoD invest in today in order to mitigate emerging threats to freedom of action in cyberspace by 2035? It answers this question by surveying the existing operational environment and comparing that with three of the most probable emerging threats to cyber operations between now and 2035. Finally, the paper highlights a potential solution to these threats given current capabilities and uses backcasting to identify the required variables, policy changes, and technology challenges.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Android Studio Narwhal Essentials - Java Edition
This book, fully updated for Android Studio Narwhal Feature Drop, teaches you how to develop Android-based applications using Java.Beginning with the basics, the book outlines how to set up an Android development and testing environment, followed by an overview of areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, content providers, the Database Inspector, app navigation, live data, and data binding.Topics such as intents, touchscreen handling, gesture recognition, and the integration of artificial intelligence into Android apps are also included.The concepts of material design are also covered in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, and collapsing toolbars.Other key features of Android Studio and Android are also covered in detail, including the Layout Editor, the ConstraintLayout and ConstraintSet classes, view binding, constraint chains, barriers, and direct reply notifications. Chapters also cover advanced features of Android Studio, such as Gradle build configuration, in-app billing, and submitting apps to the Google Play Developer Console.Assuming you already have some Java programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.
Image Super-Resolution Using Adaptive 2-D Gaussian Basis Function Interpolation
Digital image interpolation using Gaussian radial basis functions has been implemented by several investigators, and promising results have been obtained; however, determining the basis function variance has been problematic. Here, adaptive Gaussian basis functions fit the mean vector and covariance matrix of a non-radial Gaussian function to each pixel and its neighbors, which enables edges and other image characteristics to be more effectively represented. The interpolation is constrained to reproduce the original image mean gray level, and the mean basis function variance is determined using the expected image smoothness for the increased resolution. Test outputs from the resulting Adaptive Gaussian Interpolation algorithm are presented and compared with classical interpolation techniques.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Mrexcel 2025
Excel tips to skyrocket white-collar productivity. Originally designed for Bill Jelen's live Power Excel seminars, the target audience already uses Excel 40 hours a week. These tips are the "aha" tips that uncover secret methods in Excel. The book covers general Excel functions, pivot tables, and formulas such as XLOOKUP. It introduces elements of modern Excel such as the Power Pivot Data Model and cleaning data with Power Query. Updated annually, this edition for 2024 adds information on Copilot and Python in Excel.
Artificial General Intelligence
This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025. The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations and philosophy of AGI.
Ontological Engineering and Mapping in Multiagent Systems Development
Multiagent systems have received much attention in recent years due to their advantages in complex, distributed environments. Previous work at the Air Force Institute of Technology has developed a methodology for analyzing, designing, and developing multiagent systems, called Multiagent Systems Engineering (MaSE). MaSE currently does not address the information domain of the system, which is an integral part of designing proper system execution. This research extends the MaSE methodology to include the use of ontologies for information domain specification. The extensions allow the designer to specify information flow by using objects from the ontology as parameters in agent conversations. The developer can then ensure system functionality by verifying that each agent has the information required to accomplish the system goals. To fully describe the system design, the developer must describe the relationships between the system ontology and any agent component ontologies. This research also developed a ranking model to assist the user with creating such mappings, to show the relationships between the objects in the ontologies.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Early Warning and Prediction of Internet Attacks and Exploits
A safe, secure and functional information network is vital in today's Air Force net centric environment. Information is more critical today than it has ever been. As more operational functions are placed in cyber space and greater computing power becomes available to everyone, keeping these networks safe and secure is an almost unattainable task. Network security entails Intrusion Detection Security, but another form of security or "insecurity" is quickly gaining attention. Honeypots allow the black hat community to attack and penetrate non-production systems. By monitoring and studying these attacks, network defenders can develop better Information Assurance tactics and procedures to defend their networks. The ability to quickly analyze only those data packets predicted to be an exploit and disregard the remaining packets is crucial in today's overworked environment. Using an accredited Honeypot, an Exploit Prediction System (EPS) is developed using a decision-tree matrix. The EPS provides an excellent tool in choosing only those data packets needing further analysis. The EPS employs as few criterion needed for successful prediction. The log data coming into the honeypot is not filtered and all incoming log data is captured, interpreted and categorized.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Impact of Actual Facilitator Alignment, Co-Location and Video Intervention on the Efficacy of Distributed Group Support Systems
The growth of distributed group support systems (GSS) suggests that organizations will continue to bring dispersed groups of people together to make decisions over computer networks. In many instances those groups are temporarily assembled to address a task and then summarily disbanded never to work together again. In order for users to effectively use the GSS, issues of trust and control need to be addressed within the GSS design. Users have perceptions about the fairness of structural and social determinants of the GSS design. These perceptions influence both the decision-making process and process outcomes. This article shows the negative impacts that facilitator alignment and co-location with a single meeting member has on the other group members' perception of GSS fairness and equality of power distribution. This study also demonstrated how video can effectively reduce or mitigate the negative justice perceptions that users experience from facilitator alignment and co-location. The findings suggest that the increased communications capabilities available from video can help users overcome limitations that would otherwise be present from the design.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Dominating Networks in Cyberspace
Recognized as an equal to the air, land, sea and space domains, US military operators must gain dominance over cyberspace, in order to maintain its superior edge in military operations throughout the world. Cyberspace "dominance" over computer networks can be achieved, but only in providing support for freedom of action to friendly forces, within the other domains. Doctrine played an important role in defining the fundamental idea of cyber dominance. In addition, an extensive literature review of books, reports and recent articles from the Internet security sites provided the background on cyber threats in the world and the laws that governed military operations in cyberspace. The paper culminates in applying this information in a scenario of a cyber attack from China on the US. It shows the effects a network attack could have and proves how cyber dominance can be achieved.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Intelligent User Interface to Support Air Force Weather Product Generation and Automated Metrics
Air Force pilots require dependable weather reports so they may avoid unsafe flying conditions. In order to better gauge the accuracy of its weather products, Air Force Weather has established the requirement for an Air Force-wide automated weather metrics program. Under the guidelines for this program, forecasts will automatically be compared to observed weather to determine their accuracy. Statistics will be collected in the hopes of determining forecast error trends that can be corrected through education and training. In order for the statistical data produced by such a program to draw reliable conclusions about forecast accuracy, however, the correct format of the raw forecasts and observations must be ensured before the reports are disseminated. Beyond a simple check for typographical errors, however, the system must also have weather domain knowledge to understand when the input data content does not fit the context of the report, even though it has been formatted properly. This thesis proposes the application of an intelligent user-interface "critic" advice system, to ensure not only correct product format and provide content quality control, but to collaborate with and advise the forecaster or observer during product generation, with the ultimate goal of producing more accurate weather products.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Organization of Cyberspace Forces
Forces that establish, sustain, manage, or operate in cyberspace are cyberspace forces. These forces generate first order effects "in" cyberspace. This paper seeks to provide one answer to the problem: how should cyberspace forces be organized? The research methodology is problem-solution. Four categories of criteria are used to evaluate the current cyberspace organization and a proposed alternative organization. The evaluation criteria are strategy and employment, cyberspace environment, integration, and organization/culture. This paper finds that the current cyberspace force organization is focused too much on presenting forces to USSTRATCOM and too little to Geographic Combatant Commanders (GCCs). Additionally, cyberspace forces concentrated in one MAJCOM prevent cyberspace capabilities from being directly integrated with Falconer Air and Space Operations Centers across the Air Force. The paper concludes that cyberspace forces should be organized in standardized "composite cyberspace wings" and groups, and be assigned to virtually all Component-Numbered Air Forces. Based on the evaluation criteria, cyberspace forces organized in a balanced manner that provide both global effects through USSTRATCOM and theater effects for GCCs are more likely to succeed.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Architecting Data Solutions with Snowflake
Modern businesses need scalable, cost-efficient data platforms; however, traditional, fragmented systems are complex and expensive. Snowflake provides a modern, cloud-native, fully managed solution, simplifying data architecture while delivering performance and flexibility. This book helps readers leverage Snowflake's full potential for advanced, scalable data solutions.This book begins by walking you through Snowflake account configuration and its unique three-layered architecture, introducing key architectural pillars. The book covers building data engineering pipelines using various methods like Snowpipe and Snowpark, differentiating between ETL and ELT patterns. Finally, you will learn to architect diverse data patterns, such as data warehouses, data lakes, data mesh, and lakehouses, and explore Snowpark for machine learning, Snowflake Horizon, Cortex, and building generative AI and LLM solutions.This book equips you with the knowledge to design and implement modern data solutions, including data warehouses, lakes, and mesh patterns, using Snowflake. You will be well-equipped to tackle complex data architecture challenges and drive innovation in any data-driven environment.WHAT YOU WILL LEARN● Learn to design data platform solutions with Snowflake.● Design scalable and cost-effective data architectures.● Implement efficient data ingestion and extraction pipelines.● Implement modern data patterns, including data warehouse, data lake, and data mesh, using Snowflake's flexible architecture.● Apply modern data governance and security practices.● Design AI/ML workloads using Snowflake Cortex.WHO THIS BOOK IS FORThis book is designed for data enthusiasts, architects, and engineers who are looking to build modern, cloud-native data platforms using Snowflake. Whether you are designing your first data solution or optimizing complex enterprise architectures, this book offers practical insights, patterns, and real-world examples to elevate your data skills.
Modeling Decisions for Artificial Intelligence
This book constitutes the refereed proceedings of the 22nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2025, held in Valencia, Spain, during September 15-18, 2025.The 28 full papers were carefully reviewed and selected from 58 submissions. They are organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine learning and Data science.
Identification of Command and Control Information Requirements for the Cyberspace Domain
The purpose of this research was to develop an information requirements analysis method that would provide the Director of Cyberspace Forces with the information required to support effective command and control of cyberspace. This research investigates the role of information in command and control, information in the traditional war fighting domains, cyberspace as a war fighting domain, and various methods of determining information requirements of organizations. This research produced an information requirements analysis method that is suitable for identifying the command and control information requirements of the Director of Cyberspace Forces.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
AI Technologies for Information Systems and Management Science
This book brings together leading experts, academics, and industry professionals to explore how AI is transforming decision-making, data analytics, operations, and strategic management across diverse sectors. Dive into the cutting-edge world of artificial intelligence with AI Technologies for Information Systems and Management Science, a comprehensive book is featuring peer-reviewed research from the 7th International Conference on Information Systems and Management Science (ISMS 2024). Covering topics such as intelligent systems, machine learning integration, AI-driven process optimization, and ethical considerations, this proceedings book offers a rich blend of theoretical insights and practical applications. Whether you're a researcher, practitioner, or student, you'll find valuable perspectives on how emerging AI technologies are reshaping the foundations of modern information systems and management practices. Gain inspiration from real-world case studies, stay ahead with the latest innovations, and deepen your understanding of AI's role in driving smarter, more adaptive organizations. With contributions from global thought leaders, this book is an essential resource for anyone interested in the future of intelligent business and digital transformation. Embrace the power of AI--empowering tomorrow's systems, today.
Learn Python Programming by Coding Retro Games with Pygame
Discover the magic of Python programming by building your own versions of the games that defined a generation. Inspired by the golden age of arcade and home computer gaming - from the pixel-perfect charm of the Atari ST to the unforgettable titles of the Amiga 500 - this beautifully illustrated, full-color book covers the Python basics, then puts them into practice with hands on game projects. Whether you're new to coding or looking to sharpen your Python skills, this book transforms programming into a fun, creative, and rewarding experience. Each concept is taught through a game mechanic or real-world problem, with step-by-step instructions, worked examples, online lectures and coding demos, along with annotated code designed specifically for beginners.What's Inside: Full Color Throughout - Clear diagrams, screenshots, and illustrations make every concept easy to follow.Guided Game Projects - Build classic 2D games with Pygame included in the book as well as additional bonus projects available online.Game-Themed Python Lessons - Learn loops, variables, functions, classes, file I/O, collision detection, animation, sound and music.Video Lectures & Coding Demos Included - Access online video lectures and coding demos that walk you through concepts step by step.Perfect for Students, Teachers, and Self-Learners. No prior experience required, just a computer and your imagination. By the end, you won't just know Python - you'll have a library of your own playable games and the skills to invent new ones.Have fun!
Information Technology for Management: Intelligent Alignment of It with Business and Society
Empowering Marine Corps System Administrators
Organizations cannot protect the integrity, confidentiality, and availability of information in today's highly networked systems environment without ensuring that System Administrators are properly trained and meet a minimum standard that is enforced enterprise-wide. Only with this ubiquitous benchmark training, will the System Administrators roles and responsibilities become synchronous to achieving Defense in Depth in the IT realm. The goal of this research is to analyze Marine Corps training methods to identify viable solutions that will produce consistent skill sets and meet requirements set forth in mandates from DoD.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Modern App Deployment with Azure Kubernetes
Deploy applications with Microsoft Azure Kubernetes Seasoned trainer Dawid Borycki presents Modern App Deployment with Microsoft Azure Kubernetes, a hands-on guide that demystifies the complexities of Docker, Kubernetes, and Azure for application deployment. With his extensive experience in delivering real-world training sessions, Dawid empowers readers to confidently apply containerization, orchestration, and automation techniques to their own projects. This book provides a structured learning path, enabling developers, DevOps professionals, and IT experts to master the full lifecycle of modern application deployment. Packed with practical exercises, readers will learn to package applications into containers, manage them with Kubernetes, and automate deployments using Azure's powerful cloud services, gaining practical skills to deploy, monitor, and scale applications efficiently. Microsoft Certified Professional Dawid Borycki helps you: Understand the motivations behind containerization and its relevance to modern application development Containerize an ASP.NET Core web application using Docker Deploy containerized applications using Kubernetes, both locally and in the cloud with Azure Kubernetes Service Connect applications to Azure services such as SQL Database and Key Vault Monitor containerized applications and diagnose issues within Kubernetes clusters Perform application rollouts and rollbacks efficiently Automate Docker image builds and deployments using CI/CD pipelines with GitHub Actions Scale applications automatically with Horizontal Pod Autoscaling and Cluster Autoscaling Manage Kubernetes applications using Helm charts for streamlined deployment Implement Infrastructure as Code (IaC) to automate cloud resource management and deployment For IT Professionals and Consultants For developers, DevOps professionals, and IT experts interested in mastering modern application deployment strategies on Azure Requires understanding of general programming concepts and experience with the command-line interface Get all code samples at: MicrosoftPressStore.com/modernapp/downloads
Open Source and These United States
Over the past 40 years a collective form of systems development has evolved on the electronic networks of the world. In the wake of the information technology revolution has come a proven method for developing, deploying and maintaining these systems. This method, developed under the auspices of Department of Defense research grants, has resulted in the most successful and reliable software in existence. This method, based on collective intelligence, peer review and functional evolution, has rippled through the world of Information Technology. It depends on the uninhibited distribution of the currency of this realm: the source code, documentation and data which are the building blocks of these complex systems. The release of source code is commonly called open source licensing. The release of electronic information is known as open content licensing. Together, they comprise Open Licensing. There are significant gains to be realized through the formal adoption, support and use of open licensed systems by the Department of Defense. Secondary gains may be made in the morale and retention of Airmen involved in information technology. This adoption can take place at any point in the acquisition cycle and can even benefit deployed and operational systems. The benefits include reduced acquisition, development, maintenance and support costs and increased interoperability among our own systems and those of our Allies.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Information Processing in Medical Imaging
This two-volume set LNCS 15829-15830 constitutes the proceedings of the 29th International Conference on Information Processing in Medical Imaging, IPMI 2025, held on Kos, Greece, during May 25-30, 2025. The 51 full papers presented in this volume were carefully reviewed and selected from 143 submissions. They were organized in topical sections as follows: Part I: Classification/Detection; Registration; Reconstruction; Image synthesis; Image enhancement; and Segmentation.Part II: Computer-aided diagnosis/surgery; Brain; Diffusion models; Self-supervised learning; Vision-language models; Shape analysis; and Time-series image analysis.
Heuristically Driven Search Methods for Topology Control in Directional Wireless Hybrid Networks
Information and Networked Communications play a vital role in the everyday operations of the United States Armed Forces. This research establishes a comparative analysis of the unique network characteristics and requirements introduced by the Topology Control Problem (also known as the Network Design Problem). Previous research has focused on the development of Mixed-Integer Linear Program (MILP) formulations, simple heuristics, and Genetic Algorithm (GA) strategies for solving this problem. Principal concerns with these techniques include runtime and solution quality. To reduce runtime, new strategies have been developed based on the concept of flow networks using the novel combination of three well-known algorithms; knapsack, greedy commodity filtering, and maximum flow. The performance of this approach and variants are compared with previous research using several network metrics including computation time, cost, network diameter, dropped commodities, and average number of hops per commodity. The results conclude that maximum flow algorithms alone are not quite as effective as previous findings, but are at least comparable and show potential for larger networks.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Applying Automated Theorem Proving to Computer Security
While more and more data is stored and accessed electronically, better access control methods need to be implemented for computer security. Formal modelling and analysis have been successfully used in certain areas of computer systems, such as verifying the security properties of cryptographic and authentication protocols. However, formal models for computer systems in cyberspace, like networks, have hardly advanced. A highly regarded graduate textbook cites the Take-Grant model created in 1977 as one of the "current" examples of security modelling and analysis techniques. This model is rarely used in practice though. This research implements the Take-Grant Protection model's four de jure rules and Can Share predicate in the Prototype Veri cation System (PVS) which automates model checking and theorem proving. This facilitates the ability to test a given Take-Grant model against many systems which are modelled using digraphs. Two models, one with error checking and one without, are created to implement take-grant rules. The rst model that does not have error checking incorporated requires manual error checking. The second model uses recursion to allow for the error checking. The Can Share theorem requires further development.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Flying and Fighting in Cyberspace
This research paper develops the foundation for a new military operating concept to "fight the net" in support of 8th Air Force requirements and stand-up as the new Cyber Command. It applies the Air Force Concept Development framework to examine cyberspace as a newly designated warfare domain, and proposes cyber capabilities and effects that the Air Force should develop and apply as it seeks to execute its mission in cyberspace. Before the Air Force can effectively lead in the cyber domain, it must first fully characterize cyber conditions, threats, and vulnerabilities, and clearly define how and where it can contribute to the national cyberspace strategy. Once the Air Force accomplishes these tasks, it can then focus on the nature of war in the cyber domain and consider the implications for military doctrine and operations. In order to successfully build capability and capacity for operating in cyberspace, the Air Force needs to institutionalize "cyber-mindedness" to underpin organizational, research and development, and human capital investments that the Air Force needs "to fly and fight" effectively in cyberspace.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Microsoft Certified Azure Developer Associate (Az-204) Study Guide
The transition to cloud computing has created unprecedented demand for professionals with the skills to implement solutions that take advantage of the scalability, flexibility, and resilience the cloud offers. The Microsoft Certified Azure Developer Associate (AZ-204) Study Guide is your comprehensive resource for mastering the competencies required to design, develop, and deploy secure and scalable Azure architectures tailored to your organization's needs. The foundational skills you'll learn in this guide will help you successfully navigate the Microsoft Certified Azure Developer Associate exam. But beyond its impact on your resume, this book will imbue you with the confidence to excel as a Microsoft Certified Azure Developer Associate for years to come. The certification journey is challenging, but with the right insights, a well-structured study plan, and hands-on practice, you can position yourself for success. Design optimal cloud architectures aligned with best practices Provision and oversee core infrastructure with a focus on security and compliance Optimize both technical and business processes Manage critical cloud resources essential for organizational success Ensure operational reliability and high availability
The Convergence of Artificial Intelligence (Ai) and 6g Communication Networks: The Needs and Implications
Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G's role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.
Too Complex
Hardcore gamer, Cody Redbond becomes too addicted to the online battle royal game, Fantasy Estate. For over a month, his obsession with receiving achievements within the game soon ignites a detrimental stain on his life. He loses his job, social skills and soon his apartment. Property manager, Corey Dwellen and leasing agent, Mavirna Holmes arrive with an attorney and court order for his eviction. Due to the lack of Cody cleaning after himself, the apartment is now a wide labyrinth covered with filth and unimaginable pests run amok. They must now survive their way to reach Cody in this wacky and surreal adventure with laughs along the ride.
Philosophy.Exe
We live in an age of unprecedented complexity, where technology, cognitive biases, and societal systems shape our decisions in ways we barely notice. The world is changing faster than our ability to make sense of it. Philosophy.exe is designed to bridge this gap, offering a mental toolkit to help navigate uncertainty, rethink assumptions, and make better decisions in a tech-driven world.Blending classical philosophy, cognitive science, AI ethics, and behavioral psychology, this book provides an adaptive framework for understanding the world. It challenges over-simplified models and rigid ideologies, encouraging readers to embrace complexity as a strategic advantage rather than a threat.What This Book Explores- Complexity Thinking - Why linear logic fails and how to develop a mindset that thrives in uncertainty.- Cognitive Biases & Decision-Making - How hidden mental shortcuts shape our beliefs, and how to counteract them.- Resilience & Mental Adaptability - Tools for maintaining clarity, focus, and critical thinking in a rapidly evolving landscape.- Technology & Human Autonomy - The philosophical and ethical challenges of AI, digital identity, and algorithmic decision-making.- Ethics Beyond Intentions - A pragmatic approach to decision-making that accounts for unintended consequences.Philosophy.exe is for those who seek to go beyond conventional wisdom--whether philosophers, strategists, leaders, or curious minds who question the narratives shaping modern life. It provides the tools to think deeply, adapt quickly, and engage critically in an era dominated by complexity and rapid technological evolution.In a world of misinformation, automation, and uncertainty, this book isn't just about philosophy--it's about survival.
Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life
This book is a practical, non-technical guide for business leaders, professionals, and curious minds navigating the next frontier of AI.In a world where ChatGPT took us by storm, a far more powerful revolution is now unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations - from global enterprises to agile startups - witnessing both remarkable successes and sobering failures.The question isn't whether AI agents will transform your industry - it's how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Through illuminating case studies and hands-on experiments, the authors reveal: A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy - new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunitiesHands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call "compounding intelligence advantages" - the more they're used, the smarter and more valuable they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next era of business.
The Agentic Advantage
AGENTIC AI: THE STRATEGIC PLAYBOOK FOR BUSINESS TRANSFORMATION A Comprehensive Guide for C-Level Executives and Senior Leaders This groundbreaking book addresses the critical gap between AI adoption and business value that has left 80% of organizations struggling with the "gen AI paradox." While most companies have implemented reactive AI tools with limited impact, visionary leaders are now recognizing the transformative potential of agentic AI - autonomous systems that function as proactive collaborators rather than mere assistants. Written by Burkard Schemmel, this strategic playbook guides executives through the fundamental shift from AI tools to AI agents that can be delegated entire business processes. Unlike current AI implementations that deliver diffuse productivity improvements, agentic AI enables measurable transformations in revenue, profitability, and competitive advantage through end-to-end process automation. The book provides: Strategic frameworks for implementing agentic AI systems that directly impact financial performance Comprehensive guidance on navigating ethical considerations and regulatory compliance, including EU AI Act requirements Real-world case studies demonstrating 24/7 personalized services, real-time supply chain optimization, and autonomous customer service operations Practical methodologies for organizational transformation that prioritizes people alongside technology A stakeholder-inclusive approach addressing workforce adaptation and cultural change Beyond operational efficiency, the authors reveal how agentic AI enables entirely new business models, revenue streams, and forms of competitive advantage. Organizations mastering these systems will compete fundamentally differently - making data-driven decisions at market speed and responding to customer needs with unprecedented agility. This is not a technical manual but a strategic roadmap for business leaders who recognize that the window for AI experimentation is closing. Th
Lecture Notes in Deep Learning
The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.
Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life
This book is a practical, non-technical guide for business leaders, professionals, and curious minds navigating the next frontier of AI.In a world where ChatGPT took us by storm, a far more powerful revolution is now unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations - from global enterprises to agile startups - witnessing both remarkable successes and sobering failures.The question isn't whether AI agents will transform your industry - it's how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Through illuminating case studies and hands-on experiments, the authors reveal: A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy - new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunitiesHands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call "compounding intelligence advantages" - the more they're used, the smarter and more valuable they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next era of business.
Computer Vision and Image Processing
The Six-volume proceedings set CCIS 2473 and 2478 constitutes the refereed proceedings of the 9th International Conference on Computer Vision and Image Processing, CVIP 2024, held in Chennai, India, during December 19-21, 2024. The 178 full papers presented were carefully reviewed and selected from 647 submissions.The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.
The Novel Machine
The Novel Machine: Every Prompt & Response Used to Write the Novel Steelhead GraveyardStep behind the curtain of modern fiction writing and witness the raw, unfiltered creative process that brought a haunting wilderness thriller to life.The Novel Machine is not your typical writing guide. This groundbreaking companion book reveals every single prompt and AI-generated response used by author S.G. Potter to create his gripping novel Steelhead Graveyard-a chilling psychological thriller set deep in the misty wilds of the Pacific Northwest.Whether you're a curious reader, a writer seeking inspiration, or an AI enthusiast eager to understand how cutting-edge tools like ChatGPT and CoAuthorGPT can supercharge creativity, this book gives you a front-row seat to the entire writing journey-from brainstorming and character creation to the final spine-tingling scenes.You'll discover: The exact prompt-by-prompt blueprint used to develop Steelhead GraveyardThe collaborative back-and-forth between author and AI that shaped characters, plot twists, and haunting atmospheresA powerful learning tool for aspiring authors and educators in the world of AI-assisted storytellingDon't just read a thriller-reverse-engineer one.���� Bonus Tip: For the full experience, grab a copy of Steelhead Graveyard and read alongside this behind-the-scenes guide.
Explainable AI with Python
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques. The Second Edition expands on its predecessor by addressing advancements in AI, including large language models and multimodal systems that integrate text, visual, auditory, and sensor data. It emphasizes making complex systems interpretable without sacrificing performance and provides an enhanced focus on additive models for improved interpretability. Balancing technical rigor with accessibility, the book combines theory and practical application to equip readers with the skills needed to apply explainable AI (XAI) methods effectively in real-world contexts. Features: Expansion of the "Intrinsic Explainable Models" chapter to delve deeper into generalized additive models and other intrinsic techniques, enriching the chapter with new examples and use cases for a better understanding of intrinsic XAI models. Further details in "Model-Agnostic Methods for XAI" focused on how explanations differ between the training set and the test set, including a new model to illustrate these differences more clearly and effectively. New section in "Making Science with Machine Learning and XAI" presenting a visual approach to learning the basic functions in XAI, making the concept more accessible to readers through an interactive and engaging interface. Revision in "Adversarial Machine Learning and Explainability" that includes a code review to enhance understanding and effectiveness of the concepts discussed, ensuring that code examples are up-to-date and optimized for current best practices. New chapter on "Generative Models and Large Language Models (LLM)" chapter dedicated to generative models and large language models, exploring their role in XAI and how they can be used to create richer, more interactive explanations. This chapter also covers the explainability of transformer models and privacy through generative models. New "Artificial General Intelligence and XAI" mini-chapter dedicated to exploring the implications of Artificial General Intelligence (AGI) for XAI, discussing how advancements towards AGI systems influence strategies and methodologies for XAI. Enhancements in "Explaining Deep Learning Models" features new methodologies in explaining deep learning models, further enriching the chapter with cutting-edge techniques and insights for deeper understanding.
The Cranky Man's Guide to LoRA & QLoRA
This book is presented as a highly personal, opinionated, and practical guide to fine-tuning Large Language Models (LLMs), specifically using LoRA and QLoRA techniques. Written in a distinctly cranky, humorous, and often cynical voice by an experienced programmer and LLM tool builder ("Cranky Man"), it aims to cut through AI hype and technical jargon to provide hard-won lessons learned from extensive experimentation and failure.The author will guide you through the minefield of AI terms and concepts and you will emerge at the other side, preferably still with your sanity intact.So, what can you expect from this book?A solid grounding in the theory of Large Language Models, without getting bogged down in the details and math. You'll learn about the different types of models, quantization, how to choose the right one for the job, and how to train it.What all of the rank, alpha, batch_size or gradient accumulation actually do. In a plain language.You'll discover the tricks of the trade, the secrets of data collection, preparation and augmentation.You'll learn how to set up and use the hardware and software; even how to build your own multi-GPU AI supercomputer.How to read the tea leaves: Demystify the training process by learning to interpret those inscrutable loss graphs, and tell when your model is actually learning, when it's just memorizing the training data, and when it's blissfully and expensively dead.How to sidestep the pitfalls: Benefit from Cranky Man's hard-won experience and avoid the most common CUDA errors, Python tantrums and soul-crushing weight of unmet expectations.The author, F.P. HAM aka Cranky Man, is a real-world senior programmer. He didn't just use the training tools, he contributed and built many of them! From the rage-coded Training PRO, to the VirtualLora, Twinbook, Playground or Storycrafter.Cranky Man has been there, done that, got the T-shirt, the GPU burn marks and the electricity bills to prove it!This book is the result of thousands of experiments, the successes, the near misses, the total disasters. It is the story of one man's obsessive quest to create the ultimate AI model.So, there you have it. The definitive guide to training your own Large Language Model. If you're serious about getting into AI, this is the book for you. It's the one book that Cranky Man wished he'd had when he started out. He says it would have saved him a small country GDP-worth in electricity.
Lecture Notes in Deep Learning
The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.
Pattern Recognition and Computer Vision in the New AI Era
While traditional approaches in pattern recognition and computer vision have continued to evolve, along with the advances of artificial intelligence (AI), this unique compendium presents recent research activities in deep learning, graph-based and semantic-based approaches and applications.The book covers the most recent advances as well as traditional topics in pattern recognition and computer vision in this new AI area in the first part. The second part presents emerging applications of deep learning and AI.This useful reference text benefits academics, professionals, researchers and graduate students in pattern recognition, computer vision, image segmentation and artificial intelligence.
Visual Quality Assessment and Enhancement for Natural Images
Digital images play a significant role in representing useful information; however, they may get distorted while passing through several operational stages, such as image acquisition, compression, transmission, processing, and reconstruction. Similarly, during the transmission of images, some data may be lost and the quality of the image may degrade due to bandwidth limitation. The use of distorted images in any application compromises its performance; and therefore, the identification and quantification of degradation become key issues to address in restoring the distorted images.This book covers different quality assessment techniques for natural images. It further discusses image enhancement techniques that are based on estimated quality. This book presents image quality assessment techniques for different distortions, such as poor contrast, poor illumination, noise and artifacts in deblocked images. Also presented are quality-aware techniques for image enhancement for different distortions.Review and objective questions (with answers) for each chapter will be available online as part of the supplementary material.
Too Complex
Hardcore gamer, Cody Redbond becomes too addicted to the online battle royal game, Fantasy Estate. For over a month, his obsession with receiving achievements within the game soon ignites a detrimental stain on his life. He loses his job, social skills and soon his apartment. Property manager, Corey Dwellen and leasing agent, Mavirna Holmes arrive with an attorney and court order for his eviction. Due to the lack of Cody cleaning after himself, the apartment is now a wide labyrinth covered with filth and unimaginable pests run amok. They must now survive their way to reach Cody in this wacky and surreal adventure with laughs along the ride.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Cyber Warfare, Cyber Defense and Cyber Security and the Research Track on Mobile Computing, Wireless Networks and Security held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on Cyber Warfare, Cyber Defense and Cyber Security, CSCI-RTCW, received 98 submissions of which 18 papers were accepted. For the Research Track on Mobile Computing, Wireless Networks and Security, CSCI-RTMC, 7 papers were accepted from 31 submissions. They were organized in topical sections on Cyber Warfare, Cyber Defense and Cyber Security; and Mobile Computing, Wireless Networks and Security.
In Search of the Master Prompt
What if the right AI prompt could unlock your best story yet? In Search of the Master Prompt is a practical and inspiring guide for writers who want to use AI without losing their voice. Author R.A. Wilson shows how prompts can do more than generate content-they can reveal structure, deepen characters, and ignite fresh ideas.Blending clear instruction with creative insight, this book reframes AI not as a replacement for imagination but as a powerful partner in the writing process. Each chapter offers tools, examples, and exercises designed to help you think like a storyteller and prompt like a pro.Whether you're drafting your tenth novel or just beginning, this book will help you collaborate with AI in a way that keeps your creativity-and your integrity-at the center of the work.
Hands-On MLOps on Azure
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in productionKey Features: - Build reproducible ML pipelines with Azure ML CLI and GitHub Actions- Automate ML workflows end to end, including deployment and monitoring- Apply LLMOps principles to deploy and manage generative AI responsibly across clouds- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.What You Will Learn: - Understand the DevOps to MLOps transition- Build reproducible, reusable pipelines using the Azure ML CLI- Set up CI/CD for training and deployment workflows- Monitor ML applications and detect model/data drift- Capture and secure governance and lineage data- Operationalize LLMs using RAG and prompt flows- Apply MLOps across Azure, AWS, and GCP use casesWho this book is for: This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.Table of Contents- Understanding DevOps to MLOps- Training and Experimentation- Reproducible and Reusable ML- Model Management (Registration and Packaging)- Model Deployment: Batch Scoring and Real-Time Web Services- Capturing and Securing Governance Data for MLOps- Monitoring the ML Model- Notification and Alerting in MLOps- Automating the ML Lifecycle with ML Pipelines and GitHub Workflows- Using Models in Real-world Applications- Exploring Next-Gen MLOps
Data Rookies Labs Data Mining with Orange
Discover Orange: Visual, No-Code Data Mining for BeginnersStep into data science without writing a single line of code. This hands-on workbook uses Orange, a powerful visual data-mining tool built on Python, to guide you through clustering, classification, and association techniques. With drag-and-drop workflows and intuitive widgets, you'll explore, clean, and model data step-by-step-no programming required.Perfect for beginners, students, and instructors, these structured labs make complex analytics approachable and fun, building real-world skills that translate directly into data science careers. Orange turns data mining into an engaging, visual learning experience-ideal for anyone ready to get started.
Data Rookies Labs Intro to Analytics with Orange
Learn Data Analytics Through Visual, Hands-On Labs with OrangeData Rookies Labs: Intro to Analytics with Orange offers a practical, no-code introduction to data science using the intuitive Orange platform. Designed for beginners, this workbook guides students through real-world tasks like exploratory data analysis, statistics, data visualization, data mining and data wrangling.Each lab provides step-by-step instructions, screenshots, and sample datasets to help students understand how data is used to generate insights and drive decisions. With no programming required, it's ideal for high school, college, or adult learners looking to build foundational data literacy through an interactive, visual approach.Perfect for classrooms or self-paced study, this book helps learners think like data analysts-no coding required.FULL resources are available from the publisher for teaching or self study.
