C#

C# on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on c# in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around c#, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Machine Learning

Deepity: A C++ library showing Predictive Coding Networks can match Backprop (97.73% on MNIST in 60s) [P]

Deepity, a newly developed C++ library, demonstrates the potential of Predictive Coding Networks (PCNs) to rival established backpropagation methods in machine learning. Through innovative algorithmic caching and incorporating recent research on Direct Kolen-Pollack Feedback Alignment, Deepity achieves 97.73% test accuracy on MNIST within 59.5 seconds – remarkably close to PyTorch’s 98.27% in 70 seconds. This significant performance leap addresses a historical challenge with PCN implementations.

InfoQ

.NET 11 Preview 7 Brings Updates Across C#, ASP.NET Core, EF Core, and Windows Forms

.NET 11 Preview 7 delivers significant updates across a broad spectrum of technologies, empowering developers to build more efficiently. This release includes enhancements to C# with labeled break and continue statements, alongside improvements to ASP.NET Core— notably Blazor circuit pausing and built-in validation localization. Windows Forms users can now opt-in to a modern rendering pipeline, while EF Core expands with Half type support on SQLite. For deeper insights into .NET MAUI updates within this preview, explore our article, ".NET 11 Preview 7 Adds Passkeys…"

InfoQ

Microsoft Releases .NET 11 Preview 6 With Language and Framework Updates

Microsoft’s latest .NET 11 Preview 6 delivers significant advancements for developers, building on a foundation of accessible and powerful tools. This release incorporates key updates across C#, ASP.NET Core, .NET MAUI, and Entity Framework Core. Notable additions include C#'s extension indexers and union types, alongside ASP.NET Core’s enhanced security features and OpenAPI 3.2 support. For cross-platform development, MAUI now extends CollectionView functionality to Windows. Discover more about the evolving landscape of AI-assisted coding, as explored in our recent article on Android Studio Quail 2.

Towards Data Science

The Fluid Simulator That Doesn’t Solve the Fluid Equations

Challenge conventional fluid dynamics with a novel simulation approach. I’ve generated a Kármán vortex street—a striking visual manifestation of fluid behavior—without resorting to solving the complex Navier-Stokes equations. This innovation leverages the Lattice Boltzmann Method, derived from first principles and implemented in C++. Running on a supercomputer, this method offers a powerful alternative for exploring fluid phenomena. For further insights into high-performance computing architectures supporting AI development, explore “KDnuggets Weekly Roundup: Week of July 20, 2026."

Machine Learning

Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]

Researchers have introduced DABSN (Dynamic Adaptive Bias State Network), a novel recurrent language model architecture demonstrating promising results in reasoning, memory, and long-sequence tasks. The initial preprint and accompanying code—available in PyTorch, C++, and Triton—detail the architecture’s behavior and performance across benchmarks like MQAR and A5/60. Early language modeling experiments with a 24M parameter model have yielded unexpectedly strong results, prompting a second paper focused on scaling and long-context behavior. Collaboration is sought for independent reproduction, evaluation design, and access to larger GPU resources.