Neural Information Processing
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Construction Site Project for Supervisor
Construction Site Project for Supervisor Help you To Record Construction Project Name, Visitors, Schedule, Problems, Safety Issues, Summary of Work, Employee and many many more ... This logbook designed for Supervisor to provides a clear, consistent, complete format to make record-keeping easier. Ideal to keep everything recorded in one place.✔ Date, Day✔ Foreman✔ Contarct No✔ Hours Lost Due to Bad Wheater✔ Wheater conditions✔ Visitors✔ Problems, delays✔ Schedule - completion date, days ahead of schedute, days behind schedute ✔ Safety issues✔ Accidents✔ Summary of Work Performed Today✔ Equipment on Site Construction Site Project for Supervisor: ✔ Good quality paper with matte modern cover✔ Double-sided pages, to improve thinness and handling✔ Size 6 x 9 inches✔ Book with 120 Pages Get Your Copy Today!
The AI Revolution in Medicine
AI is about to transform medicine. Here's what you need to know right now. ''The development of AI is as fundamental as the creation of the personal computer. It will change the way people work, learn, and communicate--and transform healthcare. But it must be managed carefully to ensure its benefits outweigh the risks. I'm encouraged to see this early exploration of the opportunities and responsibilities of AI in medicine.'' --Bill Gates Just months ago, millions of people were stunned by ChatGPT's amazing abilities -- and its bizarre hallucinations. But that was 2022. GPT-4 is now here: smarter, more accurate, with deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies -- stat. What can they do? What can't they do -- yet? What shouldn't they ever do? To decide, experience the cutting edge for yourself. Join three insiders who've had months of early access to GPT-4 as they reveal its momentous potential -- to improve diagnoses, summarize patient visits, streamline processes, accelerate research, and much more. You'll see real GPT-4 dialogues -- unrehearsed and unfiltered, brilliant and blundering alike -- all annotated with invaluable context, candid commentary, real risk insights, and up-to-the-minute takeaways. Preview a day in the life of a doctor with a true AI assistant. See how AI can enhance doctor-patient encounters at the bedside and beyond. Learn how modern AI works, why it can fail, and how it can be tested to earn trust. Empower patients: improve access and equity, fill gaps in care, and support behavior change. Ask better questions and get better answers with "prompt engineering." Leverage AI to cut waste, uncover fraud, streamline reimbursement, and lower costs. Optimize clinical trials and accelerate cures with AI as a research collaborator. Find the right guardrails and gain crucial insights for regulators and policymakers. Sketch possible futures: What dreams may come next? There has never been technology like this. Whether you're a physician, patient, healthcare leader, payer, policymaker, or investor, AI will profoundly impact you -- and it might make the difference between life or death. Be informed, be ready, and take charge -- with this book.
Neural Information Processing
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Demystifying the World of Nursery Rhymes
Demystifying the World of Nursery Rhymes: An Interview with Artificial Intelligence is a fascinating exploration of the origins, meanings, and controversies surrounding the beloved nursery rhymes that have been passed down from generation to generation. In this enlightening book, the author presents a collection of thought-provoking questions and insightful answers from ChatGPT, an AI language model trained by OpenAI, that provide a deeper understanding of these timeless rhymes. From the counting game of "Ten Little Indians" to the beloved lullaby "Twinkle, Twinkle, Little Star," this book delves into the history, symbolism, and cultural significance of each rhyme. Whether you are a parent, educator, or simply curious about the world of nursery rhymes, Demystifying the World of Nursery Rhymes is a must-read that will leave you with a newfound appreciation for these cherished childhood classics.
Practical Product Management for Product Owners
Hone Agile Product Owner Behaviors that Lead to Marketplace Winners Organizations pour vast resources into building new products and services. Yet too many are poorly conceived, don't delight (or even satisfy) customers, and fail in the marketplace. The solution is more effective agile product ownership and product management. This book is an expert guide to the behaviors, stances, and practices of world-class agile product development, reflecting deep in-the-trenches experience from world-renowned experts. Chris Lukassen and Robbin Schuurman introduce powerful tools, ideas, and skills for delivering superior products and services, and for avoiding pitfalls that keep you from seeing what customers really need and want. Learn through a start-to-finish, Scrum-based case study, drawing on concepts the authors created for their breakthrough Scrum.org Professional Scrum Product Owner-Advanced (PSPO-A) training course. This innovative approach has already helped thousands of product owners excel--and it can transform the way you create products. Replace negative product owner behaviors with approaches that lead to excellence Represent customers more empathetically and effectively Connect customers, values, and features more coherently Tell better stories, set clearer goals, and create more valuable roadmaps Innovate business models, run better experiments, and scale products more successfully Make more successful decisions, involve the right people, and rely on better data Become a great agile collaborator, across governance, budgeting, contracting, and beyond Influence customers, users, stakeholders, and teams to improve your overall effectiveness Optimize every organizational role related to product ownership Product owners, managers, and team leads will find this guide indispensable along with Agile/Scrum coaches, consultants, and executives wanting to generate more value from product management across the organization.
Secure Multimodal Biometric Authentication System Involving Ear, Fingerprint and Voice Recognition in Cloud Computing
Secure multimodal biometric authentication is a process of using multiple biometric traits to authenticate a user's identity. This approach offers increased security by combining the strengths of different biometric authentication techniques, such as fingerprint recognition, iris recognition, face recognition, voice recognition, and behavioral biometrics. By combining multiple biometric traits, the risk of false positives and false negatives can be reduced, providing a more reliable and secure authentication process.Machine learning and artificial intelligence algorithms can be used to develop secure multimodal biometric authentication systems that can adapt to changing user behavior and environmental conditions. Deep learning techniques can also be used to enhance the accuracy and efficiency of biometric recognition.Cryptography plays a vital role in securing the biometric data and ensuring the privacy of the users. The biometric data should be encrypted before transmission, and the encryption keys must be securely stored and managed.Overall, secure multimodal biometric authentication can provide a reliable and secure authentication process for user identification and access control. The combination of different biometric traits and machine learning algorithms can enhance the accuracy and efficiency of the authentication process, ensuring the privacy and security of the users
Development of Artificial Intelligence Based Real Time Maximum Power Point Tracking Controller for a Hybrid Renewable Energy System
An informative book that examines the use of artificial intelligence (AI) in renewable energy systems is "Development of Artificial Intelligence Based Real Time Maximum Power Point Tracking Controller for a Hybrid Renewable Energy System." The book, written by Mohammad Junaid Khan, explores the creation of an AI-based real-time maximum power point tracking (MPPT) controller.The discussion of existing renewable energy sources and how they might be incorporated into a hybrid system opens the book. The fundamentals of maximum power point tracking and the conventional methods employed for this goal are then covered in depth. In order to create a real-time MPPT controller that can maximise the performance of the renewable energy system, the author uses AI approaches including neural networks and fuzzy logic systems.The designed controller's performance analysis and experimental results are also included in the book, demonstrating how effective it is in comparison to other approaches. The author wraps off by talking about the potential of AI-based MPPT controllers to revolutionise the renewable energy industry.For researchers, engineers, and students interested in the application of AI in renewable energy systems, "Development of Artificial Intelligence Based Real Time Maximum Power Point Tracking Controller for a Hybrid Renewable Energy System" is a great resource.
Exploring Deepfakes
Master the innovative world of deepfakes and generative AI for face replacement with this full-color guidePurchase of the print or Kindle book includes a free PDF eBookKey Features: Understand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of deepfakes to your own problemsBook Description: Applying Deepfakes will allow you to tackle a wide range of scenarios creatively.Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap.We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful.No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking.By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.What You Will Learn: Gain a clear understanding of deepfakes and their creationUnderstand the risks of deepfakes and how to mitigate themCollect efficient data to create successful deepfakesGet familiar with the deepfakes workflow and its stepsExplore the application of deepfakes methods to your own generative needsImprove results by augmenting data and avoiding overtrainingExamine the future of deepfakes and other generative AIsUse generative AIs to increase video content resolutionWho this book is for: This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.
Thinking Data Science
This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single "Cheat Sheet".The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.
Haptics for Human-Computer Interaction
In recent years haptics has received considerable attention from the field of Human-Computer Interactions (HCI) for its potential to provide more tangible and immersive interfaces. So much of what we call experience relies on our sense of touch and our sense of where our bodies are in the environment. So much so that we long for a technology that could help us share those feelings. Haptic interfaces are the devices that communicate with our sense of touch and proprioception. From the mild resistance built in to the volume knob on your car stereo that allows you to know how many degrees you are turning it without looking at it, to the full body suit that may soon come to your home gaming system, haptics is a vital and growing part of the world around us and has the potential to augment many aspects of our lives. In this monograph, the author presents a selected review of research in haptics to provide HCI and other fields a framework for understanding haptics that will help design better interfaces and, ultimately, new and better experiences for those who interact with technology every day. This collection of essays exposes the reader to the haptics field, the haptic sense, and some examples of haptic technology. They cover over 50 years of research and terminology, and thus will be a handy reference for any researcher.
A Neuro Genetic Hybrid Approach for Enhancing Software Development Effort Estimation
"A Neuro Genetic Hybrid Approach for Enhancing Software Development Effort Estimation" is an essential reference guide for software developers who are looking to improve their estimation accuracy. In this book, Poonam Rijwani presents a novel approach that combines both artificial neural networks and genetic algorithms to enhance the software development effort estimation process.The book covers a range of topics, including an introduction to software development effort estimation, the fundamentals of artificial neural networks and genetic algorithms, the design and implementation of the hybrid approach, and the evaluation of the approach using real-world data sets.The author provides step-by-step guidance on how to implement the hybrid approach, including how to select appropriate neural network architecture and genetic algorithm parameters. Additionally, the book discusses how the approach can be adapted to handle different types of software projects and different environmental conditions.Overall, "A Neuro Genetic Hybrid Approach for Enhancing Software Development Effort Estimation" is a valuable resource for software developers, project managers, and anyone involved in the software development process. The hybrid approach presented in this book can help to improve estimation accuracy, reduce project risks, and ultimately lead to more successful software development projects.
The Human Fix to Human Risk
Effective cyber security strategy requires creating a culture of security awareness. As remote work and new technologies transform our digital landscape, security risks have multiplied. A comprehensive security awareness program is required to ensure everyone understands how to avoid risks.This revised, expanded edition of The Human Fix to Human Risk guides you through building a security awareness program customized to your needs. The easy-to-use Terranova Security Awareness 5-Step Framework leverages over two decades of industry experience to change behaviors and create a security-aware organizational culture.
Machine Learning and Deep Learning With Python
This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using the Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms and neural networks.Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial and convolutional neural networks, generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning.Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regressions and classification, K-means, support vector machines, and recommender systems.Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com.
Computer and Applications Fundamentals Coloring Book For Kids & Adults
Computer & Applications Fundamentals Coloring Book For Kids & Adults Learning & Reward Coloring Pages Fun Coloring Pages About: Desktop & Laptop Computer & Main parts Motherboard and its Main Components Beautiful icons on Screen (aka Desktop) Data on Hard Disk Drive & Solid State Drives Data Inside HDD or SSD MS Excel Instance Benefits & Multiple Instances MS Excel Workbooks on Hard Disk Drive Human Excel Instance Interaction MS Word Document File on Hard Disk Drive Human MS Word Instance Interaction
Machine Learning and Deep Learning With Python
This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms, and neural networks.Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial neural networks, convolutional neural networks, and generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning.Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regression and classification, K-means, support vector machines, and recommender systems.Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com.
Scientific Computing
Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics.
The Human Fix to Human Risk
Effective cyber security strategy requires creating a culture of security awareness. As remote work and new technologies transform our digital landscape, security risks have multiplied. A comprehensive security awareness program is required to ensure everyone understands how to avoid risks.This revised, expanded edition of The Human Fix to Human Risk guides you through building a security awareness program customized to your needs. The easy-to-use Terranova Security Awareness 5-Step Framework leverages over two decades of industry experience to change behaviors and create a security-aware organizational culture.
We Are Products
'In this accessible study of the contemporary social media, Biju Gayu argues that we're subjected to a new, extractive force: digital colonialism...' -Geert Lovink, Founding Director, Institute of Network Cultures Haven't you dreamt of a life without the small practical impediments in your day? Where you don't need to shop for groceries or park in crowded multiplexes? Imagine a society where your car drives itself, where products autodeliver at a wish, where content recommendations are tailored to your taste. The fact is that such a world is not far. Rapid developments in technology have made some of these a part of our present reality. Yet, is technology invading us? What are the human costs of this supremacy given to technology? How long can our human cognitive abilities withstand the onslaught of thinking machines? Through a close analysis of contemporary society and numerous case studies, author and researcher Dr Biju PR offers an account of how data is enabling huge material progress but deeply affects human cognition and sensibilities. He examines data colonialism, the new capitalism, and the attention economy taking shape on the premise of big data bringing us a world of convenience. Our lives are reduced to computational values. The human element is surrendered to intelligent machines. We Are Products is a must-read for everyone concerned about the human fate in the face of technology.
Azure Security Cookbook
Gain critical real-world skills to secure your Microsoft Azure infrastructure against cyber attacksPurchase of the print or Kindle book includes a free PDF eBookKey Features: Dive into practical recipes for implementing security solutions for Microsoft Azure resourcesLearn how to implement Microsoft Defender for Cloud and Microsoft SentinelWork with real-world examples of Azure Platform security capabilities to develop skills quicklyBook Description: With evolving threats, securing your cloud workloads and resources is of utmost importance. Azure Security Cookbook is your comprehensive guide to understanding specific problems related to Azure security and finding the solutions to these problems.This book starts by introducing you to recipes on securing and protecting Azure Active Directory (AD) identities. After learning how to secure and protect Azure networks, you'll explore ways of securing Azure remote access and securing Azure virtual machines, Azure databases, and Azure storage. As you advance, you'll also discover how to secure and protect Azure environments using the Azure Advisor recommendations engine and utilize the Microsoft Defender for Cloud and Microsoft Sentinel tools. Finally, you'll be able to implement traffic analytics; visualize traffic; and identify cyber threats as well as suspicious and malicious activity.By the end of this Azure security book, you will have an arsenal of solutions that will help you secure your Azure workload and resources.What You Will Learn: Find out how to implement Azure security features and toolsUnderstand how to provide actionable insights into security incidentsGain confidence in securing Azure resources and operationsShorten your time to value for applying learned skills in real-world casesFollow best practices and choices based on informed decisionsBetter prepare for Microsoft certification with a security elementWho this book is for: This book is for Azure security professionals, Azure cloud professionals, Azure architects, and security professionals looking to implement secure cloud services using Microsoft Defender for Cloud and other Azure security features. A solid understanding of fundamental security concepts and prior exposure to the Azure cloud will help you understand the key concepts covered in the book more effectively. This book is also beneficial for those aiming to take Microsoft certification exams with a security element or focus.
Artificial Intelligence for beguinners
Artificial Intelligence for Beginners" is a comprehensive guidebook that introduces readers to the fundamental concepts, techniques, and applications of artificial intelligence (AI). The book is written in an accessible language, making it suitable for anyone who wants to learn about AI without any prior background in the field.The book covers a range of topics related to AI, including machine learning, neural networks, deep learning, computer vision, natural language processing, and expert systems. It provides a clear and concise explanation of each topic, including the underlying principles, algorithms, and applications.The book also discusses the ethical and social implications of AI, such as job displacement, privacy concerns, and bias. It provides insights into the current state of AI research and development, as well as future trends and opportunities in the field.Throughout the book, readers will find numerous real-world examples and case studies that illustrate how AI is transforming various industries, such as healthcare, finance, transportation, and entertainment. The book also includes practical exercises and projects that enable readers to apply their newfound knowledge and skills in a hands-on manner.Overall, "Artificial Intelligence for Beginners" is an essential resource for anyone who wants to understand the basics of AI and its potential impact on society. It is suitable for beginners, students, and professionals who want to learn about AI and its applications
Pan-African Artificial Intelligence and Smart Systems
This book constitutes the refereed post-conference proceedings of the Second International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2022, which was held in Dakar, Senegal, in November 2022. The 27 revised full papers presented were carefully selected from 70 submissions. The theme of PAAISS 2022 was: ​IoT and Enabling Smart System Technologies, Special Topics of African Interest, Artificial Intelligence Theory and Methods, Artificial Intelligence Applications in Medicine, Remote sensing and AI in Agriculture, AI applications and Smart Systems technologies, Affective Computing, Intelligent Transportation systems.
An Intelligent Framework for Smart Power Grid
An Intelligent Framework for Smart Power Grid refers to a system that uses advanced technologies such as artificial intelligence, machine learning, and data analytics to optimize the operation and management of an electricity grid. It aims to improve efficiency, reliability, and sustainability of the power grid by monitoring, predicting and controlling the flow of electricity in real-time, reducing energy waste and preventing blackouts. This framework is expected to help create a smarter, more efficient and resilient power grid.Predictive maintenance: The framework uses predictive analytics to identify potential equipment failures before they occur, reducing downtime and maintenance costs.Grid optimization: By analyzing data from various sources, the framework can optimize the use of available resources, reducing energy waste and increasing the grid's overall efficiency.Real-time monitoring: The framework provides real-time monitoring of the grid's performance, enabling quick response to changes in demand and preventing blackouts.Demand response: The framework enables dynamic management of electricity demand, reducing peak demand and avoiding overloading the grid during high usage periods.Integration of renewable energy: The framework facilitates the integration of renewable energy sources into the grid, increasing the grid's sustainability and reducing dependence on fossil fuels.
Mastering ChatGPT
Unlock the full potential of ChatGPT with this comprehensive guide. Written for beginners, this book will teach you how to craft effective prompts and use ChatGPT for business, work, and everyday life. Become an early adopter and gain a competitive edge by mastering the innovative technology of ChatGPT. Learn how to use it to automate tasks, generate content, and more. This is the ultimate guide for those looking to take their skills to the next level and become ChatGPT experts."- Learn how to craft high-quality prompts for business, work, school, and everyday life- Get pro tips for successful chats with ChatGPT to get the best replies- Access free prompts you can copy and paste and use today- Discover how to work around ChatGPT's limitations and make the most of its capabilities- Explore the various jobs ChatGPT can complete for you, from automating tasks to generating content- Use ChatGPT safely and securely with in-depth information on privacy and security best practicesPlus, much more! This comprehensive guide is the key to unlocking the full potential of ChatGPT and maximizing its benefits in your life.Add it to cart today and see for yourself!
Technical Writing for Quality
Sooner or later many technical professionals need to write-or contribute to-documents, such as requirements specifications, user manuals, and standards documents.A major contribution to the success of any project is the quality of the documentation.This book will assist anyone who wants to communicate more effectively when writing in the English language, in the US, the UK, the EU, or the British Commonwealth.It discusses what makes written communication effective, and-more to the point-what makes it ineffective. It contains practical advice for the technical writer, covering choice of words, arrangement into sentences, document organization, and layout. It contains numerous examples of both well-formed and poorly-formed statements.
Chinese Lexical Semantics
The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing.
Artificial Intelligence for Communications and Networks
This book, AICON 2022, constitutes the post-conference proceedings of the 4th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2022, held in Hiroshima, Japan, in November 30- December 1, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 36 submissions. The papers detail research in the areas of AI and communication systems related to intelligent systems and computational intelligence for communication and networks. They are organized in topical sections on AI and networks; machine learning; and evolutionary computation.
Bio-Inspired Artificial Intelligence
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence--to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems--including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Advanced Communication and Intelligent Systems
This book constitutes selected papers presented at the First International Conference on Advanced Communication and Intelligent Systems, ICACIS 2022, held as a virtual event in October 2022.The 69 papers were thoroughly reviewed and selected from the 258 subissions. The book focuses on current development in the fields of communication and intelligent systems.
Hacking With Kali Linux
Are you interested in finding new and effective ways to keep your system safe and secure? Do you want to make sure that you are not going to be attacked online, and that you won't have to worry about your personal or financial information getting into the wrong hands?The Kali Linux operating system is one of the best options to work with when you are ready to try out some hacking in an ethical and safe manner.In this book you will learn: How to Install Kali Linux & TORHow to use Burp Suite for various attacksSSL & CMS Scanning TechniquesPort Scanning & Network SniffingHow to Configure SPANHow to implement SYN Scan AttackHow to Brute Force with HydraHow to use Low Orbit ion CannonThis book is arranged with information, exercises and explanations in a very orderly manner which can easily answer all your questions and can clear all your doubts regarding hacking and Kali Linux. This book will be the perfect choice for you. It is something which you really need to have if you want to improve the security of your system or if you want to learn programming by using Kali Linux.
Design and analysis of human resources Using artificial intelligence
Personnel management acts as the kernel of HRM. It can be stated that HRM is built from the managing employees. The core concept of the management of staff is to get work done from an employee for the salary given. Employees were not granted that much importance in the decision-making system during the Personnel Management period and were not permitted to communicate with higher management. Personnel management restricted to factories and the personal manager's primary concern was to see if everything met with labor laws or not, not much importance was put on employee morale. Employees were only viewed as resources, the organization's responsibility, in addition to being seen as expense & expenditure to the business rather than capital and future asset. The most widely used staff officers are punitive rather than versatile and cooperative with staff. Employee nurturing was not a concern for staff managers and the opinion of workers was overlooked, meaning employee managers rather than recognizing the situation they used to be punitive if the employee made any mistake. (Tutar et al. 2020).Viewpoint of HRM is that, workers are company's most important resources and they regard their employees as value of assets for their organization. In comparison to personal management, empowering workers is a fundamental aspect of HRM. The core notion of managing human resources is seeing what should be provided to an employee to extract the desired job. Employee engagement in decision-making is often welcomed by HR managers and their opinions are most respected. Employee versatility in job and health is an important aspect for HR executives and they show more importance about employee problems. New regulations and enhancement approaches are well supported and easy to enforce by the Hr Manager. The key difference between staff management and human human resources management was the incorporation and strengthening of information technology into HR process and functions for better productivity and time savings. Artificial intelligence and Robots take over many HR roles, ranging from recruiting of staff, research, interviewing and many more.
99 Tricks and Traps for Oracle Primavera P6 PPM Professional
This book quickly gets down to the issues that many people grapple with when trying to use some of the more advanced features of the software and enlightens readers on the traps that some users fall into and how to avoid them. It demonstrates how the software ticks and explains some tricks that may be used to become more productive with the software.Suitable for people who understand the basics of P6 but want a short guide to give them insight into the less intuitive features of the software. It is packed with screen shots, constructive tips and is written in plain English. The book is based on the P6 Version 22 but may be used with earlier versions of P6 as this book points out the differences where appropriate.The book picks out many of the key aspects from the author's exiting books and adds a substantial amount of new and original text to produce a pocket guide that omits describing the intuitive and obvious functions and concentrates on the issues that many users get stuck on or find hard to understand.
Intelligent Edge Computing for Cyber Physical Applications
Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.
Constructed Truths
In a world in which more and more fake news is being spread, it is becoming increasingly difficult to distinguish truth from lies, knowledge from opinion. Disinformation campaigns are not only perceived as a political problem, but the fake news debate is also about fundamental philosophical questions: What is truth? How can we recognize it? Is there such a thing as objective facts or is everything socially constructed? This book explains how echo chambers and alternative worldviews emerge, it blames post-factual thinking for the current truth crisis, and it shows how we can escape the threat of truth relativism.
Explainable AI Recipes
Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution, and activation attribution. After reading this book, you will understand AI and machine learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses. What You Will LearnCreate code snippets and explain machine learning models using PythonLeverage deep learning models using the latest code with agile implementationsBuild, train, and explain neural network models designed to scaleUnderstand the different variants of neural network models Who This Book Is ForAI engineers, data scientists, and software developers interested in XAI
Artificial Intelligence for Knowledge Management, Energy, and Sustainability
This book features a selection of extended papers presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, and the 1st International Workshop on Energy and Sustainability, AIES 2021, named AI4KMES 2021 and held in conjunction with IJCAI 2021 in August 2021. The conference was planned to take place in Montr矇al, Canada, but changed to an online event due to the COVID-19 pandemic. The 15 papers included in this book were carefully reviewed and selected from 17 submissions. They deal with knowledge management and sustainability challenges, focusing on methodological, technical and organizational aspects of AI used for facing related complex problems. This year's topic was AI for Knowledge Management, Energy and Sustainable Future.
The Perception Machine
A provocative investigation of the future of photography and human perception in the age of AI. We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation--and the transformation of human perception by algorithmically driven images, from CGI to AI--The Perception Machine investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vil矇m Flusser-Paul Virilio remix. Her "perception machine" names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today's automation of vision, imaging--and imagination. Written by a theorist-practitioner, the book incorporates Zylinska's own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.
Ex Machina
If we could rewind the tape of the Earth's deep history back to the beginning and start the world anew-would social behavior arise yet again?While the study of origins is foundational to many scientific fields, such as physics and biology, it has rarely been pursued in the social sciences. Yet knowledge of something's origins often gives us new insights into the present.In Ex Machina, John H. Miller introduces a methodology for exploring systems of adaptive, interacting, choice-making agents, and uses this approach to identify conditions sufficient for the emergence of social behavior. Miller combines ideas from biology, computation, game theory, and the social sciences to evolve a set of interacting automata from asocial to social behavior.Readers will learn how systems of simple adaptive agents-seemingly locked into an asocial morass-can be rapidly transformed into a bountiful social world driven only by a series of small evolutionary changes. Such unexpected revolutions by evolution may provide an important clue to the emergence of social life.
The Rise of Virtual Communities
Uncover the fascinating history of virtual communities and how we connect to each other online. The Rise of Virtual Communities, explores the earliest online community platforms, mapping the technological evolutions, and the individuals, that have shaped the culture of the internet.Read in-depth interviews with the visionary founders of iconic online platforms, and uncover the history of virtual communities and how the industry has developed over time. Featuring never-before told stories, this exploration introduces new ideas and predictions for the future, explaining how we got here and challenging what we think we may know about building online communities.Readers will: Learn what a virtual community is and how it has become an integral part of modern society Review key insights into building virtual communities and platforms from the founders and pioneers who created them See what thecurrent developments and the potential challenges are related to the future of virtual communitiesWho is this for: Community managers, company founders and those who want to know more about the origins and future of virtual communities.interviews Include: Randy Farmer & Chip Morningstar - Lucasfilm Games 'Habitat' and creators of the modern AvatarHoward Rheingold - Community expert and member of the WELLStacy Horn - Founder of Echo NYCJim Bumgardner - Founder of The PalacePhilip Rosedale - Founder of Second LifeSampo Karjalainen - Co-founder of Habbo HotelLance Priebe - Co-Founder of Club Penguin Angelo Sotira - Co-Founder of Deviant Art Caterina Fake - Co-Founder of FlickrAlexis Ohanian- Founder of Reddit Kevin Rose - Co-Founder of Digg & PROOF CollectiveJason Citron - Founder of Discord Trevor McFedries - Founder of FWB & Brud Cherie Hu - Founder of Water & MusicMichelle Kennedy - Founder of Peanut
API Analytics for Product Managers
Research, strategize, market, and continuously measure the effectiveness of APIs to meet your SaaS business goals with this practical handbookKey Features: Transform your APIs into revenue-generating entities by turning them into productsMeet your business needs by improving the way you research, strategize, market, and measure resultsCreate and implement a variety of metrics to promote growthBook Description: APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation?API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation-an often-overlooked aspect of development.Of course, it's not all about the product-as any good product manager knows; you need to understand your customers' needs, expectations, and satisfaction too. Once you've gathered your data, you'll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals.By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.What You Will Learn: Build a long-term strategy for an APIExplore the concepts of the API life cycle and API maturityUnderstand APIs from a product management perspectiveCreate support models for your APIs that scale with the productApply user research principles to APIsExplore the metrics of activation, retention, engagement, and churnCluster metrics together to provide contextExamine the consequences of gameable and vanity metricsWho this book is for: If you're a product manager, engineer, or product executive charged with making the most of APIs for your SaaS business, then this book is for you. Basic knowledge of how APIs work and what they do is essential before you get started with this book, since the book covers the analytical side of measuring their performance to help your business grow.
ChatGPT for Teachers and Students
This comprehensive guide is designed to help both teachers and students use ChatGPT to achieve their educational goals.Streamline the learning process and save time on repetitive tasks.Design effective prompts.Create templates for powerful workflows.Enhance student engagement and increase learning outcomes.With easy-to-follow instructions and practical tips, you'll be able to harness the power of ChatGPT to revolutionize the way you teach and learn. Don't miss out on this opportunity to transform education - get your copy now!Classify ItemsPrepare for Interviews with Characters you'll DefineSummarize Text for Lexile Level XCreative WritingProduce Tests and QuizzesExplore Essay QuestionsOutline and ResearchAnd many more aids to productivityLearn how to create reusable prompts to save time and streamline your workflow.Get your copy now. Take your work to the next level with ChatGPT.
Elements of Dimensionality Reduction and Manifold Learning
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality reduction, probabilistic dimensionality reduction, and neural network-based dimensionality reduction, which have geometric, probabilistic, and information-theoretic points of view to dimensionality reduction, respectively. The necessary background and preliminaries on linear algebra, optimization, and kernels are also explained to ensure a comprehensive understanding of the algorithms.The tools introduced in this book can be applied to various applications involving feature extraction, image processing, computer vision, and signal processing. This book is applicable to a wide audience who would like to acquire a deep understanding of the various ways to extract, transform, and understand the structure of data. The intended audiences are academics, students, and industry professionals. Academic researchers and students can use this book as a textbook for machine learning and dimensionality reduction. Data scientists, machine learning scientists, computer vision scientists, and computer scientists can use this book as a reference. It can also be helpful to statisticians in the field of statistical learning and applied mathematicians in the fields of manifolds and subspace analysis. Industry professionals, including applied engineers, data engineers, and engineers in various fields of science dealing with machine learning, can use this as a guidebook for feature extraction from their data, as the raw data in industry often require preprocessing.The book is grounded in theory but provides thorough explanations and diverseexamples to improve the reader's comprehension of the advanced topics. Advanced methods are explained in a step-by-step manner so that readers of all levels can follow the reasoning and come to a deep understanding of the concepts. This book does not assume advanced theoretical background in machine learning and provides necessary background, although an undergraduate-level background in linear algebra and calculus is recommended.
Quantum Computers
This book is for individuals who want to know more about the future of computing and the quantum computing technology. If you have heard about quantum computers but you have not understood how they will operate, this book will unearth everything that you need to know. You will also know the differences between classical computers and quantum computers in terms of how they operate. The author aims at helping the reader understand what quantum computers are, how they work and where they can be used. Here's what you'll learn: What is quantum computing and how quantum computers operateWhy is this technology the future of the it sectorHow close are we to building a quantum computerDescription of various algorithms and how they workThe possible implementations of quantum computing and how it can change the worldAnd much more! The human brain is one of the most complex machines we know of. In this book, we will discover how the brain developed and what its functions are. We will find out the parts that make it up and how it controls our everyday lives.The complexity of the human brain has always challenged scientists and computer programmers the world over. They are trying to understand it better by creating something that will be intelligent with the use of non-biological materials - an artificial intelligence. We will look at its uses and how it compares to the human brain.
Bayesian Optimization
Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way. This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations. The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies. Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.
Artificial Intelligence
Artificial intelligence (ai) and machine learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals.Artificial intelligence and machine learning for business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business leaders. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. You'll discover: How chatbots, robots, and other automated functions will revolutionize societyHow ai will allow us to produce almost everything cheaper, faster and betterHow covid-19 has accelerated technological innovation in nearly every industry How new jobs emerge and what skills you'll need to prepare for themCharts, visual guides, and infographics to expand your understandingAnd much, much more!It's no doubt that machine learning, artificial intelligence, and deep learning have created a lot of buzz in the tech world. However, unlike many other buzz words that we forget about quickly, technological advancements have made ai, ml and deep learning a part of our daily lives.Furthermore, ai is here to stay, which is why if you are looking to learn about it, you need to make the most out of your learning.
