Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

The environment already reflects a slowdown in growth expectations and software has been feeling it for years. Retention and ...

Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...

Districts are already making large financial investments into core programs. So why are they still buying more resources to make up for what their textbooks can’t do? Let’s be honest about what’s ...

Abstract: Core loss modeling is essential for optimization of power electronics. Traditionally, equation-based models, primar-ily relying on Steinmetz Equation (SE) based parameters, have dominated.

Holiday viewership of 19 VSLive! Orlando sessions reached nearly 30,000 views, with developers focusing on advanced topics such as Visual Studio 2026 performance, C# source generators, Copilot-powered ...

Members of the Federal Open Market Committee are factoring rising labor productivity in their economic forecasts. In a long-run "unbounded growth" scenario where AI is fully developed, up to 23% of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Earlier this week, Microsoft patched a vulnerability that was flagged with the "highest ever" severity rating received by an ASP.NET Core security flaw. This HTTP request smuggling bug (CVE-2025-55315 ...

The Kestrel web server flaw allows request smuggling attacks, but the actual risk depends on the application code and deployment. Microsoft has patched a critical vulnerability in ASP.NET Core that ...