While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
For decades, artificial intelligence advanced in careful, mostly linear steps. Researchers built models. Engineers improved performance. Organizations deployed systems to automate specific tasks. Each ...
Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
Abstract: This paper deals with the application of a recursive least square (RLS) algorithm for signal identification within an MMC control system. Naturally voltage pulsations occur in the ...
In the context of smart manufacturing, improving the quality and efficiency of process planning, especially in the processing of complex parts, has become a key factor influencing the level of ...
This repository contains a collection of algorithmic and problem-solving exercises that I solved exclusively using flowcharts. ⚠️ No programming code was used in this repository. Each solution is ...
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