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Henning Schwentner: Domain-Driven
Transformation

Domain-Driven Transformation

Modernize Legacy Systems and Mitigate Risk

It is often read in the media that AI and Robotics are the primary cause of technology unemployment. AI and machine learning techniques are expected to take over lower-level tasks, while humans can spend more time with higher-level tasks. In perspective, it can be said that jobs requiring boring cognitive tasks or repeatable and dangerous physical tasks will be considerably shredded by automation thanks to the wide adoption of AI &amp; Robotics technology to replace humans, while jobs requiring challenging cognitive tasks or unstructured physical tasks will be suitably re-engineered with the progressive introduction of AI &amp; Robotics technology to assist humans.

From the discussion above, it should be clear that in a world populated by humans and robots, issues arise that go beyond engineering and technology due to the impact resulting from the use of robots in various application scenarios. The anthropization of robots cannot ignore the resolution of those ethical, legal,sociological, economic (ELSE) problems that have so far slowed their spread in our society.

The final book of the Robotics Goes MOOC project enlightens the impact of using robotic technology in the main fields of application, namely, industrial robots as in Chapter 1 by Bischoff et al, medical robotics as in Chapter 2 by Dario et al, aerial robots as in Chapter 3 by Ollero et al, orbital robotics as in Chapter 4 by Lampariello, underwater robots in Chapter 5 by Antonelli, and rescue robots as in Chapter 6 by Murphy. The last part is devoted to the open dilemma of using and accepting robots in human co-habited environments which is addressed in Chapter 7 on social robotics by Pandey and the very final chapter by Tamburrini on the important issues raised with roboethics.The image on the cover metaphorically illustrates the impact paradigm of robotics through a hand holding bitten an apple.<div>The content published here are linked to a series of MOOCs on Robotics specifically created and hosted by Federica Web Learning. You can access the related content via our app: download the SN More Media app for free, scan the link and access directly to the online courses on your smartphone or tablet. </div>

Impact

Robotics Goes MOOC

Balancing Security and Sustainability

Digital Forensics in Next Generation Internet for Medical Things

Take your web development skills from browser to server with Node.js, the popular backend framework used by more than 10 million developers at companies like Amazon, Netflix, and LinkedIn, to name just a few. If you're comfortable working with JavaScript, this practical guide from Samer Buna will show you how to effectively build and maintain even the most complex Node.js applications. Following a hands-on, project-based approach, you'll move from key fundamentals to advanced concepts such as modules, packages, event-driven architecture, streams, child processes, scaling, testing, deployment, and much more--all while focusing on what actually matters in practice. <ul> <li>Understand Node.js's native capabilities in order to best use the powerful libraries and tools in its ecosystem </li><li>Utilize Node.js modules and packages </li><li>Explore Node.js's event-driven architecture, streams, and child processes </li><li>Create, test, and maintain efficient and scalable Node.js applications
</li></ul>

A Beyond the Basics Guide

Efficient Node.Js

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more. Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along. <ul> <li>Process data from CSV, Parquet, spreadsheets, databases, and the cloud </li><li>Get a solid understanding of Expressions, the building blocks of every query </li><li>Handle complex data types, including text, time, and nested structures </li><li>Use both eager and lazy APIs, and know when to use each </li><li>Visualize your data with Altair, hvPlot, plotnine, and Great Tables </li><li>Extend Polars with your own Python functions and Rust plugins </li><li>Leverage GPU acceleration to boost performance even further </li></ul>

Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API

Python Polars: The Definitive Guide

Decentralized algorithms are useful for solving large-scale complex optimization problems, which not only alleviate the single-point resource bottleneck problem of centralized algorithms, but also possess higher scalability. Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and problem-solving approaches to decentralized optimization. It teaches how to apply decentralized optimization algorithms to improve optimization efficiency (communication efficiency, computational efficiency, fast convergence), solve large-scale problems (training for large-scale datasets), achieve privacy preservation (effectively counter external eavesdropping attacks, differential attacks, etc), and overcome a range of challenges in complex decentralized network environments (random sleep, random link failures, time-varying, directed, etc). It focuses on: 1) communication-efficiency: event-triggered communication, random link failures, zeroth-order gradients. 2) computation-efficiency: variance-reduction, Polyak’s projection, stochastic gradient, random sleep. 3) privacy preservation: differential privacy, edge-based correlated perturbations, conditional noises. It uses simulation results, including practical application examples, to illustrate the effectiveness and the practicability of decentralized optimization algorithms.

Algorithmic Efficiency and Privacy Preservation

Decentralized Optimization in Networks

Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. You'll explore: <ul> <li>Basic cloud computing concepts, including the AWS Well-Architected Framework </li><li>End-to-end cloud native software and infrastructure as code </li><li>The benefits of a reusable code library to accelerate your projects </li><li>Functional modules of code that can stand alone or build toward an integrated cloud application </li></ul>

Building Cloud Native Applications with Infrastructure-As-Code

Hands-On AWS Cdk

Hacking and Securing Serverless Cloud Applications on AWS, Azure, and GCP

Learning Serverless Security

Sustainable Industrial Engineering and Management Systems

Navigating the Future

Security Paradigms in 6G Smart Cities and IoT Ecosystems

This hyperglossary offers more than just plain English definitions of 5,555 terms and abbreviations; it's a meticulously crafted resource designed to foster a shared understanding across a diverse audience, from seasoned professionals to newcomers.

Cybersecurity Hyperglossary

The Fun Palace of Joan Littlewood and Cedric Price as a Cultural Project

Architecture, Media, Archives

Distributed Systems for the Frontend

Building Micro-Frontends

If you're an experienced JavaScript developer or want to level up your current TypeScript skills, with Total TypeScript, you'll learn everything you need to build a TypeScript product from scratch. Based on a series of sold-out workshops, the material in Total TypeScript has been tested by hundreds of developers to ensure their effectiveness and value. You'll explore useful patterns you can immediately apply in your projects and helpful workarounds for TypeScript's most common pitfalls. Dozens of exercises throughout range from writing solutions from scratch to advanced typing to debugging, so you'll be prepared for the gotchas that appear in real-world applications. You'll also learn how to: Set up a TypeScript development environment and how to leverage its superpower IDE, Add types to functions, arrays, and objects, and make reusable types with type aliases, Express object types, including index signatures, Records, and interfaces, Take advantage of classic object-oriented patterns in your code, Configure TypeScript for any situation and powerful features to design your own types. With this straightforward and approachable guide, you'll go from learning the foundations to a TypeScript wizard equipped to handle any TypeScript project that comes your way with confidence.

Total Typescript

Domain-Driven Transformation

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