Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.

Abstract: Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time ...

This repository contains the source code for the CSLA .NET MCP (Model Context Protocol) Server. This server is designed to support the use of generative AI (LLM) models when they are used to create ...

These benefits lead to more flexible, maintainable, and efficient code structures. Unfortunately, Java does not natively support class extensions (categories) and there is a little chance such support ...

Abstract: In the past decade, there has been growing interest in developing AI-enabled neural interfaces for various neurological disorders and emerging brain-machine interface (BMI) applications. The ...