An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

Abstract: To improve the measurement precision of the optical encoder working at various speeds, an adaptive high-precision measurement framework is designed based on deep reinforcement learning (DRL) ...

Adapter-based optical compression for long documents using DeepSeek's DeepEncoder with Qwen3-VL-2B. Built on DeepSeek-OCR by DeepSeek-AI. This repo includes deepencoder.py from DeepSeek-OCR ...

Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...

Founded in 2003, California-based eyewear retailer Zenni Optical offers more than 4,000 glasses and sunglasses designs, along with a range of lenses tailored to meet specialized needs. While some ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

Abstract: To address the issue of error compensation for optical encoders in various measurement environments, a compensation model based on an improved deep ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...