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Abstract: The model order reduction (MOR)-based modeling method combining neural networks and the transfer function (neuro-TF) is widely used for efficient parametric modeling of electromagnetic (EM) ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

There’s a new free AI-powered 3D CAD tool called “Zoo Design Studio”. Zoo Design is a California operation that has produced a new tool that provides simple parametric 3D CAD design features, such as ...

Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine geometry. A ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Firstly, a big thanks for all the work on this library, it is incredibly useful! The ability to retrain a ParametricUMAP whilst preserving the mapping for embeddings that have already been processed ...

From inked drawings on tracing paper, to highly detailed digital 3D models, the role of the architect has evolved, and next-gen design software is empowering today's architects with valuable data and ...

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

Identifying your Apple TV model can be crucial for troubleshooting, updating, and ensuring compatibility with various apps and services. Here’s a step-by-step guide to help you determine which Apple ...