DIY DCC decoder for model railroad locomotives in an E24 form factor, powered by an RP2350 (Raspberry Pi Pico 2) - mikesmitty/rp24-dcc-decoder ...
As 2025 concludes, Model Railroader's Eric White, Cody Grivno, Lucas Iverson, and David Popp share some of their favorite ...
A list of Semiquincentennial anniversary locomotives in O gauge from various toy train manufacturers. Learn more from Classic ...
Q: I have several On30 locomotives with Digital Command Control (DCC), but was recently gifted a passenger set that has a ...
Options range from classic model trains to decked-out subways. As the 2025 holiday season gets underway, multiple cities are celebrating the festive season using trains -- from classic model trains to ...
Emergency services rushed to Carseldine railway station on Beams Rd around 6pm on Saturday. “Police and emergency services were called to a railway station on Beams Road, Carseldine just before 6pm ...
This is software decodes DCC model train serial communication to obtain the state of function buttons F1-F12, which can be utilized for layout automation. The intent is to use this software with a ...
Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight ...
Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...
Runway has upgraded Gen-4.5 and introduced GWM-1, the company's first "General World Model." The recently introduced Gen-4.5 now features native audio generation and audio editing, as well as ...
Essential AI's new open-source model, Rnj-1, outperforms significantly larger competitors on the "SWE-bench Verified" test. This benchmark is considered particularly challenging because it evaluates ...
Abstract: The remarkable success of Transformer architectures in Natural Language Processing (NLP) has led to increased demand for embedded systems capable of efficiently handling NLP tasks along with ...