Tabla de Contenidos: “…Embodied experience / Nicky Assmann -- Digital hyperthymesia : on the consequences of living with perfect memory / Tanne van Bree -- How to govern King code / Wouter Dammers -- Deep learning through cinematic space / Frederik De Wilde -- Robotisation as rationalisation : in search for a human robot future / Rinie van Est and Lambèr Royakkers -- The future of ethical decisions made by computers / Jaap van den Herik and Cees de Laat -- The new imbroglio : living with machine algorithms / Mireille Hildebrandt -- Freedom and data profiling / Liisa Janssens -- A utopian belief in big data / Esther Keymolen -- Digital conservation of cultural heritage / Yolande Kolstee -- Pasts, presents, and prophecies : on your life story and the (re)collection and future use of your data / Marjolein Lanzing -- Can connected machines learn to behave ethically? / Ben van Lier -- Exploring the twilight area between person and product / Koert van Mensvoort -- Living together with a green dot : being together alone in times of hyper-connection / Elize de Mul -- Technology and the end of history : from time capsules to time machines / René Munnik --…”

Tabla de Contenidos: “…Front Cover; CUDA Programming: A Developer's Guide to ParallelComputing with GPUs; Copyright; Contents; Preface; Chapter 1 - A Short History of Supercomputing; INTRODUCTION; VON NEUMANN ARCHITECTURE; CRAY; CONNECTION MACHINE; CELL PROCESSOR; MULTINODE COMPUTING; THE EARLY DAYS OF GPGPU CODING; THE DEATH OF THE SINGLE-CORE SOLUTION; NVIDIA AND CUDA; GPU HARDWARE; ALTERNATIVES TO CUDA; CONCLUSION; Chapter 2 - Understanding Parallelism with GPUs; INTRODUCTION; TRADITIONAL SERIAL CODE; SERIAL/PARALLEL PROBLEMS; CONCURRENCY; TYPES OF PARALLELISM; FLYNN'S TAXONOMY; SOME COMMON PARALLEL PATTERNS…”

Tabla de Contenidos: “…1.17 CPU caches -- 1.18 Multiprogrammed computer systems -- 1.19 Timesharing systems -- 1.20 Mean response with FCFS and processor-sharing scheduling -- 1.21 Analysis of open and closed queueing network models -- 1.22 Bottleneck analysis and balanced job bounds -- 1.23 Performance analyses of I/O subsystems -- 1.24 Vector supercomputers -- 1.25 Parallel computers -- 1.25.1 The ILLIAC IV computer -- 1.25.2 Thinking Machines Connection Machine -- 1.25.3 Kendall Square Research's KSR-1 -- 1.25.4 Goodyear Massively Parallel Processor - MPP -- 1.25.5 MasPar -- 1.25.6 NCUBE -- 1.25.7 Meiko -- 1.25.8 SUPRENUM -- 1.25.9 Parsytec -- 1.25.10 Intel Personal SuperComputer - iPSC -- 1.25.11 IBM's BlueGene supercomputer -- 1.25.12 Tesla Dojo supercomputer for AI training -- 1.26 The future of supercomputing -- 1.27 Microprocessor CPUs, GPUs, FPGAs, and ASICs -- 1.28 RISCV and other microprocessors -- 1.29 The IBM PC and its compatibles -- 1.29.1 Experience with IBM workstations -- 1.30 Storage studies by Alan Jay Smith at Berkeley -- 1.31 Prefetching -- 1.32 Database buffers -- 1.33 Checkpointing in processing large jobs -- 1.34 Computer related rule of thumb -- 1.34.1 Amdahl rules in developing S/360 computers -- 1.34.2 Amdahl's law in the era of multicore -- 1.34.3 Amazon optimal configurations for x86-based EC2 instances -- 1.34.4 Kung's law -- 1.34.5 Brooks' law -- 1.34.6 Patterson et al.'…”

Tabla de Contenidos: “…Evaluating and drafting contracts -- Performing due diligence -- Managing intellectual property -- Chapter 3 Launching into the AI Marketing Era -- Ready or Not: AI Is Your New Marketing Copilot -- Putting performance marketers at risk -- Competing with creative directors -- Watching AI Upend the Corporate World -- Taking Foundational Steps Toward AI Marketing -- Addressing the marketing dichotomy -- Assessing progress with the AI checklist -- Adopting a Strategic Framework for Entering the AI Era -- Going for liftoff -- Initiating atmospheric ascent -- Reaching escape velocity -- Dominating deep space -- Part 2 Exploring Fundamental AI Structures and Concepts -- Chapter 4 Collecting, Organizing, and Transforming Data -- Defining Data in the Context of AI -- Considering the quality of data -- Getting an appropriate quantity of data -- Choosing Data Collection Methods for Marketing with AI -- Identifying data sources and methods -- Minding data privacy and ethics -- Putting Your Marketing Data in Its Place -- Understanding Data via Manual and Automated Systems -- Preparing the Data for Use by AI Algorithms and Models -- Perfecting data by cleaning -- Transforming data -- Splitting data into subsets -- Trimming down data -- Handling imbalanced and irrelevant data -- Chapter 5 Making Connections: Machine Learning and Neural Networks -- Examining the Process of Machine Learning -- Understanding Neural Networks -- Layers of a neural network -- Challenges with neural networks -- Supervised and Unsupervised Learning -- Following the path of supervised learning -- Embracing the freedom of unsupervised learning -- Exploring Reinforcement Learning -- Reinforcement learning in e-mail marketing -- Weighing explorations against exploits -- Mastering Sequences and Time Series -- Seeing how neural networks excel at time series analysis…”

Tabla de Contenidos: “…Installation and management process overview -- Summary -- Chapter 4: Identifying and Remediating Windows Server Security Issues Using Azure Services -- Technical requirements and lab setup -- Introduction to hybrid security using Microsoft Sentinel and Microsoft Defender for Cloud -- Establishing a Data Collection Rule for Azure Monitor Agent -- Installing the Azure Arc Connected Machine Agent -- Monitoring on-premises servers and Azure IaaS VMs using Microsoft Sentinel -- Identifying and remediating security issues for on-premises servers and Azure-hosted VMs with MDC -- Summary -- Chapter 5: Secure Windows Server Networking -- Technical requirements and lab setup -- Introduction to Windows Defender Firewall -- Managing Windows Defender Firewall -- Implementing domain isolation -- Implementing connection security rules -- Summary -- Chapter 6: Secure Windows Server Storage -- Introduction to NSGs -- Introduction to ASGs -- Overview of Azure service tags -- Overview of the Azure Storage firewall -- Technical requirements and lab setup -- Managing BitLocker -- BitLocker general system requirements -- BitLocker basic setup -- Managing and recovering encrypted volumes -- Enabling storage encryption by using ADE -- Managing Disk Encryption keys for IaaS VMs -- Summary -- Part 3: Implement and Manage Windows Server High Availability -- Chapter 7: Implementing a Windows Server Failover Cluster -- Overview of Windows Server Failover Clustering -- What is WSFC? …”

Tabla de Contenidos: “…III IoT in Industry -- ch. 9 Manufacturing -- An Introduction to Connected Manufacturing -- An IoT Strategy for Connected Manufacturing -- Business Improvements Driven Through IoT -- An Architecture for the Connected Factory -- Industrial Automation and Control Systems Reference Model -- The CPwE Reference Model -- CPwE Resilient Network Design -- Resilient Ethernet Protocol (REP) -- Business Value of Resiliency in Converged Networks -- CPwE Wireless -- CPwE Wireless Network Architecture -- Real-Time Location System (RTLS) -- Industrial Automation Control Protocols -- EtherNet/IP and CIP -- PROFINET -- The PROFINET Architecture -- Media Redundancy Protocol (MRP) -- Modbus/TCP -- Connected Factory Security -- A Holistic Approach to Industrial Security -- Network Address Translation in the Factory -- The Industrial DMZ -- Factory Security Identity Services -- Edge Computing in the Connected Factory -- Connected Machines and Edge Computing -- Summary -- References -- ch. 10 Oil and Gas -- An Introduction to the Oil and Gas Industry -- Defining Oil and Gas -- The Oil and Gas Value Chain -- Current Trends in the Oil and Gas Industry -- Industry Key Challenges as Digitization Drivers -- IoT and the Oil and Gas Industry -- Improving Operational Efficiency -- The Purdue Model for Control Hierarchy in Oil and Gas Networks -- Oil and Gas Use Cases for IoT -- The Connected Pipeline -- The Connected Refinery -- IoT Architectures for Oil and Gas -- Control Room Networks for Oil and Gas -- Wired Networks for Oil and Gas -- Wireless Networks for Oil and Gas -- Wireless Use Cases in the Oil and Gas Industry -- Mobile Process Control Network Operator -- Plant Turnaround -- The Risk Control Framework for Cybersecurity in IoT -- Securing the Oil and Gas PCN: Background -- Securing the Oil and Gas PCN: Use Cases and Requirements -- Real-Time Asset Inventory -- Remote Access Control -- Patch Management -- Antivirus (AV) Management -- Security Intelligence and Anomaly Detection -- Data Analytics for Predictive Asset Monitoring -- Summary -- References -- ch. 11 Utilities -- An Introduction to the Power Utility Industry -- The IT/OT Divide in Utilities -- The GridBlocks Reference Model -- GridBlocks: An 11-Tiered Reference Architecture -- The Primary Substation GridBlock and Substation Automation -- SCADA -- IEC 61850: The Modernization of Substation Communication Standards -- IEC 61850 Station Bus -- IEC 61850 Process Bus -- Migration to IEC 61850 -- Network Resiliency Protocols in the Substation -- Parallel Redundancy Protocol -- High-Availability Seamless Redundancy -- System Control GridBlock: The Substation WAN -- Defining Teleprotection -- Distance Protection -- Current Differential (87L) Protection -- Designing a WAN for Teleprotection -- The Field Area Network (FAN) GridBlock -- Advanced Metering Infrastructure -- Other Use Cases -- Demand Response -- Distribution Automation -- Securing the Smart Grid -- NERCCIP -- Smart Grid Security Considerations -- The Future of the Smart Grid -- Summary -- References -- ch. 12 Smart and Connected Cities -- An IoT Strategy for Smarter Cities -- Vertical IoT Needs for Smarter Cities -- Global vs. …”

“…The book will: Articulate how social is a compelling new business model for the Internet of Things Discuss current technologies, such as smart phones and tablets, and how they can/will enable Social Machines Teach readers the business benefits of connecting machines to a social network Teach readers how to learn from existing implementations and customize them for their own use…”

“…Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). …”

“…By tracking the AI, we discovered a process of Bio-Digital Social Programming of people through a replication software using Bio-Fields and Bio-Matter that connects machines with people via the Internet, Smart Phones, IoT devices, Apps and the media. …”