Comptia A+ Core 1 (220-1201) and Core 2 (220-1202) Exam Cram
CompTIA A+ Core 1 (220-1101) and Core 2 (220-1102) Exam Cram is an all-inclusive study guide designed to help you pass the updated versions of the CompTIA A+ exams. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice test software provides real-time assessment and feedback with four complete exams. Covers the critical information needed to score higher on your CompTIA A+ Core 1 (220-1101) and Core 2 (220-1102) exams! Install, configure, and troubleshoot PC hardware including CPUs, RAM, video cards, network cards, storage drives, and peripherals Work effectively with mobile devices: laptops, tablets, and smartphones Configure Windows settings, components, and administrative tools Manage and troubleshoot Linux, macOS, Android, and iOS Administer and support basic IT infrastructure including IP networking, IoT devices, virtualization, cloud-based systems, and backup systems Understand security features such as firewalls, multifactor authentication, permissions, and access control Defend against malware, network threats, and social engineering Learn the basics of IT documentation, change management, and incident response Prepare for your exam with Pearson Test Prep: Realistic practice questions and answers Comprehensive reporting and feedback Customized testing in study, practice exam, or flash card modes Complete coverage of A+ Core 1 (220-1101) and Core 2 (220-1102) exam objectives
Building AI-Powered Products
Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI-powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI into a playbook for driving innovation, solving user problems, and unlocking business growth. Featuring insights from AI leaders at Google, Meta, and Microsoft, this book doesn't just teach you the "how" of AI product management&emdash;it equips you with the "why" to make smarter decisions and achieve outsized impact. Whether you're new to AI or a seasoned PM, this guide will empower you to confidently navigate every stage of the AI product lifecycle. Transition into AI product management with confidence and clarity Navigate the AI Product Development Lifecycle (AIPDL) using powerful tools and frameworks Solve real user problems by harnessing AI and generative AI capabilities Establish technical fluency to influence and collaborate cross-functionally Make strategic trade-offs when building or buying AI solutions Set AI-specific metrics and OKRs to measure success Lead cross-functional teams to build AI products that drive tangible value
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care
This book constitutes the refereed proceedings of the First Deep Breast Workshop on Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep Breath 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024. The 23 regular papers presented in this book were carefully reviewed and selected from 51 submissions. The workshop provides an international platform for presentation of - and discussion on - studies related to AI in breast imaging. Deep-Breath aims to promote the development of this research area by sharing insights in academic research and clinical practice between clinicians and AI experts, and by exploring together the opportunities and potential challenges of AI applications in breast health. The deep-breath workshop provides, therefore, an unique forum to discuss the possibilities in this challenging field, aiming to create value that eventually truly leads to benefit for physicians and patients.
Towards New E-Infrastructure and E-Services for Developing Countries
The two-volume set LNICST 587 + 588 constitutes the refereed proceedings of the EAI 15th International Conference on nternational Conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2023, which took place in Bobo-Dioulasso, Burkina Faso, in November 2023. The 59 full papers presented in these two volumes were carefully reviewed and selected from 72 submissions. The papers are organized in the following topical sections: Part I: Digital economy, Digital transformation, e-Government and e-services; ICT infrastructures for critical environmental conditions; Wireless networks; E-health; Cybersecurity and Privacy. Part II: Systems and cloud computing; Artificial Intelligence; Ontology and data preparation; Responsible Artificial Intelligence for Sustainable Development in Africa (workshop).
Blockchain and Digital Twin for Smart Hospitals
Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.
Advances in Visual Computing
This two-volume set LNCS 15046 and 15047 constitutes the refereed proceedings of the 17th International Symposium, ISVC 2024, held at Lake Tahoe, NV, USA, during October 21-23, 2024. The 54 full papers and 12 poster papers were carefully reviewed and selected from 120 submissions. A total of 8 papers were also accepted for oral presentation in special tracks from 15 submissions. The papers cover the following topical sections: Part I: Deep Learning; Computer Graphics; Video Analysis and Event Recognition; Motion and Tracking; Detection and Recognition; Visualization, and Medical Image Analysis. Part II: Segmentation; Recognition; Generalization in Visual Machine Learning; Vision and Robotics for Agriculture; Virtual Reality; Applications, and Poster.
AI for Understanding Human Conversations
AI and specifically LLMs revolutionize our lives with new technologies appearing at an unprecedented rate. Drawing on case studies from Pulp Fiction to diplomatic meetings, the book provides approachable explanations of how LLMs can help us understand conversations.
Strategic Software Quality Management
This book, by bridging software quality management and strategic management, can be used by software quality practitioners for effective results. The software development process is usually studied with regards to its functional aspects and the attempts to improve the quality and performance are mainly concentrated on the technical side.
Biometric Recognition
This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22-24, 2024. The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: - Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking. Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Pattern Recognition and Artificial Intelligence
This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics.
Biometric Recognition
This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22-24, 2024. The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: - Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking. Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Pattern Recognition and Artificial Intelligence
This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics.
Artificial Intelligence Security and Privacy
This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence Security and Privacy, AIS&P 2024, held in Guangzhou, China, during December 6-7, 2024. The 14 full papers included in this book were carefully reviewed and selected from 47 submissions. The papers help to researchers to exchange latest research progress in all areas such as artificial intelligence, security and privacy, and their applications.
The Means of Prediction
An eye-opening examination of how power--not technology--will define life with AI. AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation--a sense that the technology is our shared fate. As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions--choices made to date by the ownership class that steers its development and deployment. Kasy shows that the technology of AI is ultimately not that complex. It is insidious, however, in its capacity to steer results to its owners' wants and ends. Kasy clearly and accessibly explains the fundamental principles on which AI works, and, in doing so, reveals that the real conflict isn't between humans and machines, but between those who control the machines and the rest of us. The Means of Prediction offers a powerful vision of the future of AI: a future not shaped by technology, but by the technology's owners. Amid a deluge of debates about technical details, new possibilities, and social problems, Kasy cuts to the core issue: Who controls AI's objectives, and how is this control maintained? The answer lies in what he calls "the means of prediction," or the essential resources required for building AI systems: data, computing power, expertise, and energy. As Kasy shows, in a world already defined by inequality, one of humanity's most consequential technologies has been and will be steered by those already in power. Against those stakes, Kasy offers an elegant framework both for understanding AI's capabilities and for designing its public control. He makes a compelling case for democratic control over AI objectives as the answer to mounting concerns about AI's risks and harms. The Means of Prediction is a revelation, both an expert undressing of a technology that has masqueraded as more complicated and a compelling call for public oversight of this transformative technology.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024 Workshops
This book constitutes the proceedings from the workshops held at the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco in October 2024. The 23 papers presented in this volume were carefully reviewed and selected from the total submissions from the following workshops: - Ninth International Skin Imaging Collaboration Workshop (ISIC 2024) Seventh International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2024) Embodied AI and Robotics for HealTHcare Workshop (EARTH 2024) Fifth MICCAI Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2024)
Medical Optical Imaging and Virtual Microscopy Image Analysis
This book constitutes the refereed proceedings of the Second International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis, MOVI 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 21 regular papers presented at MOVI 2024 were carefully reviewed and selected from 29 submissions. They are grouped into these two topical sections: Medical Optical Imaging and Virtual Microscopy Image Analysis and Kidney Pathology Image segmentation (KPIs) Challenge.
Knowledge Cartography for Young Thinkers
Discover the transformative power of knowledge mapping with this revolutionary book. You will have access to a rich collection of mapping techniques, technologies, and real-life applications designed for learners of all ages and across disciplines. This book aims to help learners create knowledge with the support of artificial intelligence mapping apps and engage them deeply with sustainable development supported by green digital skills. Experience the dynamic world of mind maps, concept maps, dialogue maps, and more, brought to life by educators, researchers, experts, and young students. This is not just a book; it is a movement toward diverse, interactive learning methods to shape a sustainable future. Perfect for teachers, trainers, nonformal educators, and education professionals, the book embraces the innovative CARE-KNOW-DO framework to transform how young people tackle pressing issues. It combines exploration, understanding, and actionable steps for sustainability. This book offers invaluable resources to help researchers explore trends, connect relevant information, and produce significant narratives supported by AI. It guides the use of knowledge maps in decision-making, sense-making, and inspiring future generations. The book also explores the methodology behind its creation, including case studies, teaching strategies, and learning outcomes, all of which are grounded in extensive literature and ethical standards. Embrace a new era of learning with this open-access book on knowledge mapping. It is set to transform the way we think, research, teach, and learn. It is an open access book.
Show Ai--Don't Tell It
The secret to AI adoption? Stop explaining the tech--help your organization visualize business success. Stakeholders don't invest in AI because they understand the tech--they invest when its business impact is clear and undeniable. In Show AI--Don't Tell It, AI executive and business strategist Dr. Lisa Palmer reveals how to use visual storytelling to make AI's value tangible, turning complex ideas into clear business outcomes that drive buy-in, adoption, and scale. Instead of vague theories and hype, this book provides clear frameworks, practical tools, and proven visualization techniques to help leaders secure funding, accelerate implementation, and maximize AI's impact. Applying her Bold AI Leadership Model, Dr. Palmer lays out a structured approach to AI success: Mindset: The four Applied AI Guiding Principles--Business Value, Speed with Rigor, Simplicity, and Human-Centricity--keep AI initiatives focused, efficient, and impactful. Strategic Priorities: The five AI Success Pillars--Value Creation, Customer-Centricity, Collaborative Teams, Cultural Shifts, and Data as a Strategic Asset--ensure AI drives measurable business results. Practical Tools: The Visualization Tool Decision Framework, featuring over 20 strategic visualization tools, helps leaders simplify complexity, overcome resistance, and communicate AI's impact with clarity and confidence. A must-read for executives, business leaders, and AI practitioners, Show AI--Don't Tell It provides the mindset, strategy, and tools needed to translate AI's potential into tangible value. Whether you're seeking stakeholder buy-in, funding approval, or faster adoption, this book shows you exactly how to use visual storytelling to accelerate business success with AI.
AI for Creatives
AI for Creatives: Unlocking Expressive Digital Potential takes you on a dynamic journey into the future of creativity, where AI is reshaping how creators approach their craft. According to a 2023 UNESCO report, the global creative industries are valued at an astounding USD 4.3 trillion annually, employing nearly 30 million people worldwide. This essential guide empowers professionals across visual arts, music, writing, film, fashion, and design to leverage the transformative potential of AI to elevate their work in ways previously unimaginable.Designed as a practical handbook for creative professionals, this book provides a clear and approachable road map for integrating AI into your work, regardless of prior experience. Packed with real-world case studies, step-by-step walk-throughs, and insights into AI-driven tools, like RunwayML, Midjourney, Canva, and ChatGPT, the book demonstrates how AI can supercharge creative processes. Whether you are a filmmaker using AI for hyper-realistic visuals or a fashion designer predicting fabric trends, this guide offers the tools to unlock your full creative potential.The book also dives into the deeper ethical and legal questions that emerge as machines increasingly enter the creative arena. How do we strike the right balance between human ingenuity and machine-driven creativity? What happens to intellectual property rights when AI becomes a co-creator? This book tackles these pressing issues head-on, from navigating bias in AI algorithms to safeguarding the authenticity of creative works, while also exploring the role of education in navigating these challenges. With actionable insights, creative professionals will learn to embrace AI while preserving the integrity, originality, and values that define their craft.AI is not just changing how we create but also disrupting the future of employment and economic growth across the globe. With the demand for creative roles projected to surge by 30-40% by 2030, it is evermore critical to harness the power of AI to stay ahead, innovate faster, and meet the growing need for creative solutions across industries. Are you ready to explore the future of creativity and amplify your vision? Step into the next era of AI transformation with this essential guide--your creative revolution starts now.
Videogame Sciences and Arts
This book constitutes the refereed proceedings of the 14th International Conference on Videogame Sciences and Arts, VJ 2024, held in Leiria, Portugal, during December 5-6, 2024. The 15 full papers and 3 short papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: Player Experience and Accessibility; Serious Games; Edutainment; Game Design and Development; and Games and Artificial Intelligence.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
The Myth of Good AI
The myth of good AI offers a bold new approach to understanding artificial intelligence and its implications for human security. Dismantling the 'good AI' narrative pedalled by tech giants, the book exposes the full extent of AI's nefarious impact on society.Drawing on a wide range of literature, the book provides a gripping synthesis of debates in philosophy, medicine, media, psychology, international affairs, economics and politics. It charts the full spectrum of AI-related themes and explores what implications AI has for our future, while equipping the reader with strategies for survival.
The Impact of the Digitalization on the Human Resource Management
Image Analysis in Stroke Diagnosis and Interventions
This book constitutes the refereed proceedings of the 4th International MICCAI Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2024, as well as the Ischemic Stroke Lesion Segmentation Challenge, ISLES 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024. The 12 revised full papers presented in this volume were selected form 16 submissions. The papers describe research advancements in image analysis for the diagnosis and intervention of ischemic and haemorrhagic stroke and present the latest developments in segmentation, disease prognosis, stroke diagnosis and treatment, and other clinically relevant applications.
Artificial Intelligence: Methodology, Systems, and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18-20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
Computing, Communication and Learning
This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
Improving Decision Making Using Semantic Web Technologies
As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain knowledge, explainability of machine learning (ML), and issues of interoperability, data quality, and GDPR (General Data Protection Regulation) compliance in data sharing hinder effective decision making. This book addresses these critical challenges by exploring how the synergy of semantic technologies (SW), like ontologies and knowledge graphs, with or without ML, can overcome these challenges to improve decision making. Through real-world case studies in data sharing, manufacturing, and agriculture, it offers theoretical and practical insights and guidelines of how SW can enhance prediction accuracy, integrate domain knowledge, support ML explainability, and tackle interoperability, data quality, and GDPR challenges.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
