“…By using the scalable in-memory data grid, enterprises can benefit from a powerful, high-performance elastic cache. …”

“…Dorf: Provide a detailed overview of FPGAs in digital systems design Explain the underlying principles, strengths, and limitations of most FPGA architectures Supply many real-life case studies, from elementary to advanced applications--including examples of "custom computing machines" Review cutting-edge developments, including new architectures and a new field-programmable interconnect chip Discuss key economic and business aspects of FPGA manufacture and applications and their role in intellectual property protection Demonstrate ways in which FPGAs offer plausible solutions to some of the major computing problems of our day…”

“…Moreover, it teaches using extensive examples of real code drawn from past flaws in many of the industry's highest-profile applications . …”

“…"Master malware analysis to protect your systems from getting infected Key Features Set up and model solutions, investigate malware, and prevent it from occurring in future Learn core concepts of dynamic malware analysis, memory forensics, decryption, and much more A practical guide to developing innovative solutions to numerous malware incidents Book Description With the ever-growing proliferation of technology, the risk of encountering malicious code or malware has also increased. …”

“…Moving on, you’ll find out how to implement an effective storage strategy for flash memory chips, and how to install updates to the device remotely once it is deployed. …”

“…What you will learn Configure OpenAI API and Python for AI development Create and manipulate LangChain prompt templates and parsers Implement LangChain memory models and chains for complex AI applications Develop real-world applications, including newsletter generators and chatbots Work with LangChain embeddings and vector stores for semantic searches Navigate the ethical and copyright implications of AI-generated content Audience This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. …”

“…The book covers topics such as in-memory computing, cloud, UX, OData, agile development, and more. …”

“…Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. …”

“…How do you make classes safer for versioning? What's the real memory cost of using standard containers? How can using const really optimize your code? …”

“…This report explains how operational databases enable IoT applications to fulfill four data management capabilities: Fast Ingest: In-memory performance and horizontal scalability that provide a single ingestion point for high-velocity data feeds Explore and Analyze: Real-time access to applications and querying engines Act: The ability to trigger events and make decisions based on inbound streams Export: The ability to export accumulated, filtered, enriched, or augmented data to downstream systems About the author Ryan Betts, VoltDB CTO, is one of the company’s founding developers. …”

“…Coverage includes: organizing C++ programs; using variables, constants, expressions, statements, operators, and functions; controlling program flow; working with arrays and strings; creating basic and advanced classes; managing memory; using operator overloading; working with inheritance, polymorphism, and linked lists; reading and writing IO; employing object-oriented analysis and design; creating templates; handling exceptions and errors; and much more. …”

“…Get a grasp of all the key features of C++2a, including modules, concepts, task blocks, transactional memory, ranges, coroutines, and more, in a single course. …”

“…You'll learn hands-on as you complete real-world projects like hosting a WordPress site, setting up a private cloud, and deploying an app on containers. …”

“…You'll learn hands-on as you complete real-world projects like hosting a WordPress site, setting up a private cloud, and deploying an app on containers. …”

“…The work is intended as a standalone book in a series covering the activities of the Internet of Things European Research Cluster (IERC) - including research, technological innovation, validation, and deployment.The book chapters build on the developments and innovative ideas put forward by the IERC, the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects - presenting new concepts, ideas and future IoT trends and ways of integrating open data frameworks and IoT marketplaces into larger deployment ecosystems.The IoT and Industrial Internet of Things technologies are moving towards hyperautomated solutions - combining hyperconnectivity, artificial intelligence (AI), distributed ledger technologies and virtual/augmented extended reality, with edge computing and deep edge processing becoming an assertive factor across industries for implementing intelligent distributed computing resources and data to keep the efficient data exchange and processing local to reduce latency, exploit the sensing/actuating capabilities and enable greater autonomy.Expanding the adoption of consumer, business, industrial and tactile IoT requires further development of hyperautomated IoT concepts for collaborative solutions involving machines and humans to expand augmented creativity at the application level using AI to optimise the industrial processes and progress towards a symbiotic economy based on distributed federated cloud/edge infrastructure allowing resource sharing in the form of computing, memory and analytics capabilities.The advances of autonomous IoT applications delivering services in real-time encompasses development in servitisation, robotisation, automation and hyperconnectivity, which are essential for the rapid evolution of industrial enterprises in the new digital era. …”

“…Coverage includes Preparing your computer to run CUDA programs Understanding CUDA’s parallelism model and C extensions Transferring data between CPU and GPU Managing timing, profiling, error handling, and debugging Creating 2D grids Interoperating with OpenGL to provide real-time user interactivity Performing basic simulations with differential equations Using stencils to manage related computations across threads Exploiting CUDA’s shared memory capability to enhance performance Interacting with 3D data: slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and code Realistic example applications include Visualizing functions in 2D and 3D Solving differential equations while changing initial or boundary conditions Viewing/processing images or image stacks Computing inner products and centroids Solving systems of linear algebraic equations Monte-Carlo computations…”

“…You will: Implement full-fledged intelligent NLP applications with Python Translate real-world business problem on text data with NLP techniques Leverage machine learning and deep learning techniques to perform smart language processing Gain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification, and more…”

“…Almost all technological components in the data center are getting faster; central processing units, network, storage area networks (SAN), and memory. All of them have improved their speed by a minimum of 10X; some of them by 100X, for example, data networks. …”

“…What you will learn Understand the relevant microcontroller programming fundamentals Work with real-world sensors such as the microphone, camera, and accelerometer Run on-device machine learning with TensorFlow Lite for Microcontrollers Implement an app that responds to human voice with Edge Impulse Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense Create a gesture-recognition app with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who this book is for This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. …”

“…Particolare attenzione è dedicata ai temi della relazione tra uomo e donna, della generazione, del matrimonio e della famiglia, la cui attualità è confermata dalle due assemblee del Sinodo dei vescovi del 2014 e 2015, così come dall’esortazione apostolica Amoris laetitia di papa Francesco…”