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 ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning ...
GitHub

Practice coding algorithms 100% offline with AI: generate problems, get hints, discuss solutions, and run code in JavaScript, TypeScript, or Python — no internet or setup ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.
IEEE

ITE-RRT*: Intelligent Path Planning for Autonomous Cars With Intermediary Trees, Triangle Inequality, and Equal Distance Optimization

Abstract: This research introduces a new algorithm that enhances the existing Intermediary RRT*-PSO and Informed RRT*, focusing on enhancing the path’s feasibility by replacing edges around the ...
GitHub

A discrete event simulation (DES) framework for Python.

SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
IEEE

A Vehicle Path Planning Algorithm: QDDG-RRT

Abstract: Autonomous vehicles require highly reliable collision-free capabilities, necessitating extensive research in path planning. Path planning determines an optimal path, crucial for safe and ...