New to iOS development and networks in general. Developing a game-show-type app where a 'host' device needs to multicast to 'contestant' devices. The contestant devices also need to be able to respond. Very little information is actually being passed along but speed does matter hence the use of UDP. I've been researching some of the commonly used networking api's for apple devices: network.framework, CocoaAsyncSocket, Multipeer-Connectivity, BSD sockets, etc. Overall, I'm leaning towards just using the high-level network.framework but the lack of examples and resources is making the decision difficult. Any advice would be appreciated.

Some years ago I made a very simple countdown app for iPad that broadcasted a message to local network when a timer fired. Did this using UDP, implemented with swift-nio. That worked well in that scenario.


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What's perhaps more interesting is the question: "How does your process know when to call exit()?" Is it going to receive a network payload that tells it when to quit? Will you send it a UNIX SIGTERM signal? (If this feels like a misuse of SIGTERM to you, you could consider using SIGUSR1 or SIGUSR2.) GCD has signal handling capabilities built in (see DispatchSource.makeSignalSource here). To be more explicit, you could add a GCD signal handler for SIGTERM do whatever other cleanup you need to do, and then call exit() at the end of the handler block, and that should do the trick.

In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of additive regression models and deep networks. Our implementation encompasses (1) a modular neural network building system based on the deep learning library TensorFlow for the fusion of various statistical and deep learning approaches, (2) an orthogonalization cell to allow for an interpretable combination of different subnetworks, as well as (3) pre-processing steps necessary to set up such models. The software package allows to define models in a user-friendly manner via a formula interface that is inspired by classical statistical model frameworks such as mgcv. The package's modular design and functionality provides a unique resource for both scalable estimation of complex statistical models and the combination of approaches from deep learning and statistics. This allows for state-of-the-art predictive performance while simultaneously retaining the indispensable interpretability of classical statistical models.

The fact that I read earlier that Microsoft was going to upgrade the WebForms Visual Designer combined with this new version of the .NET Framework makes it appear that many developers and organizations are still working with the original frameworks and intend to stay with them.

ASP.NET MVC came into vogue because it was believed that high performance web applications could be developed simply base on quality source code. This was never true and hardware and network engineers in the 1990s new at this time the fallacy of relying simply on good source code to produce high performance applications.

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Neuroph simplifies the development of neural networks by providing Java neural network library and GUI tool that supports creating, training and saving neural networks.

If you are beginner with neural networks, and you just want to try how they work without going into complicated theory and implementation, or you need them quickly for your research project the Neuroph is good choice for you. It is small, well documented, easy to use, and very flexible neural network framework.

The .NET Framework (pronounced as "dot net") is a proprietary software framework developed by Microsoft that runs primarily on Microsoft Windows. It was the predominant implementation of the Common Language Infrastructure (CLI) until being superseded by the cross-platform .NET project. It includes a large class library called Framework Class Library (FCL) and provides language interoperability (each language can use code written in other languages) across several programming languages. Programs written for .NET Framework execute in a software environment (in contrast to a hardware environment) named the Common Language Runtime (CLR). The CLR is an application virtual machine that provides services such as security, memory management, and exception handling. As such, computer code written using .NET Framework is called "managed code". FCL and CLR together constitute the .NET Framework.

FCL provides the user interface, data access, database connectivity, cryptography, web application development, numeric algorithms, and network communications. Programmers produce software by combining their source code with .NET Framework and other libraries. The framework is intended to be used by most new applications created for the Windows platform. Microsoft also produces an integrated development environment for .NET software called Visual Studio.

In April 2019, Microsoft released .NET Framework 4.8, the last major version of the framework as a proprietary offering, followed by .NET Framework 4.8.1 in August 2022. Only monthly security and reliability bug fixes to that version have been released since then. No further changes to that version are planned. The .NET Framework will continue to be included with future releases of Windows and continue to receive security updates, with no plans to remove it as of November 2023.[3]

While Microsoft and their partners hold patents for CLI and C#, ECMA and ISO require that all patents essential to implementation be made available under "reasonable and non-discriminatory terms". The firms agreed to meet these terms, and to make the patents available royalty-free. However, this did not apply to the part of the .NET Framework not covered by ECMA-ISO standards, which included Windows Forms, ADO.NET, and ASP.NET. Patents that Microsoft holds in these areas may have deterred non-Microsoft implementations of the full framework.[8]

Common Language Infrastructure (CLI) provides a language-neutral platform for application development and execution. By implementing the core aspects of .NET Framework within the scope of CLI, these functions will not be tied to one language but will be available across the many languages supported by the framework.

Because computer systems commonly require interaction between newer and older applications, .NET Framework provides means to access functions implemented in newer and older programs that execute outside .NET environment. Access to Component Object Model (COM) components is provided in System.Runtime.InteropServices and System.EnterpriseServices namespaces of the framework. Access to other functions is via Platform Invocation Services (P/Invoke). Access to .NET functions from native applications is via the reverse P/Invoke function.

While Microsoft has never implemented the full framework on any system except Microsoft Windows, it has engineered the framework to be cross-platform,[23] and implementations are available for other operating systems (see Silverlight and  Alternative implementations). Microsoft submitted the specifications for CLI (which includes the Base Class Libraries, CTS, and CIL),[24][25][26] C#,[5] and C++/CLI[27] to both Ecma International (ECMA) and International Organization for Standardization (ISO), making them available as official standards. This makes it possible for third parties to create compatible implementations of the framework and its languages on other platforms.

.NET Framework includes a garbage collector (GC) which runs periodically, on a separate thread from the application's thread, that enumerates all the unusable objects and reclaims the memory allocated to them. It is a non-deterministic, compacting, mark-and-sweep garbage collector. GC runs only when a set amount of memory has been used or there is enough pressure for memory on the system. Since it is not guaranteed when the conditions to reclaim memory are reached, GC runs are non-deterministic. Each .NET application has a set of roots, which are pointers to objects on the managed heap (managed objects). These include references to static objects, objects defined as local variables or method parameters currently in scope, and objects referred to by CPU registers.[30] When GC runs, it pauses the application and then, for each object referred to in the root, it recursively enumerates all the objects reachable from the root objects and marks them as reachable. It uses CLI metadata and reflection to discover the objects encapsulated by an object, and then recursively walk them. It then enumerates all the objects on the heap (which were initially allocated contiguously) using reflection. All objects not marked as reachable are garbage.[30] This is the mark phase.[31] Since the memory held by garbage is of no consequence, it is considered free space. However, this leaves chunks of free space between objects which were initially contiguous. The objects are then compacted together to make free space on the managed heap contiguous again.[30][31] Any reference to an object invalidated by moving the object is updated by GC to reflect the new location.[31] The application is resumed after garbage collection ends. The latest version of .NET framework uses concurrent garbage collection along with user code, making pauses unnoticeable, because it is done in the background.[32] ff782bc1db

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