MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
IEEE

Sampled-Data-Based Iterative Cost-Learning Model Predictive Control for T–S Fuzzy Systems

Abstract: In this article, an iterative cost-learning model predictive control (ICLMPC) is proposed for nonlinear networked control systems (NCSs) in the presence of aperiodic sampling. The proposed ...
IEEE

Implementation of Recursive and Iterative Moving Average Filter for ECG Data in Fixed and Floating Representation

Abstract: Moving Average Filters are used for digital signal processing applications, such as smoothing ECG signals by minimizing high-frequency noise. This work investigates the design and ...