The Toy Exchange, 1001 Twin Arch Rd., #12, Mt. Airy, MD 21171, has announced a custom-run MTH 400E locomotive as part of the ...

ALBUQUERQUE, N.M. — Longtime New Mexico State Fair goers will tell you there is a lot to explore on Main Street but the real magic happens in the buildings. Tucked away behind the concession stands ...

Code for Button/Blink Test (SN095) – Chapter 1, page 11 This code is basic but allows the reader to gain insight into key elements for several other projects in this book. It combines two pieces of ...

Chinese artificial intelligence developer DeepSeek has disclosed that training for its R1 reasoning-focused model cost only US $294,000, a fraction of the amounts typically reported by US competitors.

Paul and David Bradt’s Ardiono Projects offers multiple ways to use Arduino and Raspberry Pi microcontrollers for your model railroading projects. Buy the book here. Code for Button/Blink Test (SN095) ...

The Central Texas Area Model Railroaders will host their 43rd annual Temple Model Train & RPM Show this weekend, inviting all train enthusiasts to join them for a nostalgic ride. The all-ages event ...

YOUNGSTOWN, Ohio (WKBN) — The Iron and Steel Train Show took place on Saturday at the Assumption Social Center in Youngstown. The event had model trains and items from around 40 vendors on display to ...

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...

Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on the same technology behind consumer chatbots like ChatGPT. Based on a ...

Abstract: Long-term time series forecasting has extensive applications across various critical domains. However, its modeling process encounters significant challenges, including difficulties in ...

This repository supports the preprint "Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes" (F. Lehmann, F.Ozdemir, B. Soja, T. Hoefler, S. Mishra, S. Schemm) ...

images/ # Training images organized by categories ├── data1/ # Category 1 images ├── data2/ # Category 2 images ├── data3/ # Category 3 images └── data4/ # Category 4 images masks/ # Corresponding ...