Abstract: In motion control, velocity is required to be estimated with less delay and less error, but the two are trade-offs because of an encoder's quantization noise, and they are difficult to make ...

jwasham/coding-interview-university A detailed study plan with articles, videos, and resources to prepare for interviews at top companies like Google and Amazon. Covers DSA fundamentals to advanced ...

I am using concurrent.futures.ProcessPoolExecutor to handle large data processing. I find it so slow and a big bottleneckt is sending data through multiprocessin.Pipe, which is used by multiprocessing ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

The healthcare sector has always been slow to adopt new technologies – and for good reason. When patients’ lives are on the line, proven solutions typically win out over innovation for innovation’s ...

Association of IFITM3 with the efficacy of anti-PD1/PD-L1 therapy and regulation of immunosensitivity via MHC-I regulation in SCLC.

Background Improving small and sick newborn care (SSNC) is crucial in resource-limited settings. Newborn Essential Solutions and Technologies (NEST360), a multicountry alliance, aims to reduce newborn ...

In this hands-on tutorial, we bring the core principles of the Model Context Protocol (MCP) to life by implementing a lightweight, context-aware AI assistant using LangChain, LangGraph, and Google’s ...