Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GitHub

A robust PID control system for maintaining a BLDC motor at exactly 1440 RPM, with implementations for both development (Arduino Uno) and production (ATTiny85) deployment.

BLDC_PID_Controller/ ├── arduino_uno/ # Development implementation │ ├── arduino_uno.ino # Arduino Uno code with serial tuning │ ├── config.h # Configuration header with all settings │ ├── ...
IEEE

ARMA: Mitigating Catastrophic Forgetting using Attention-Regularized Model Averaging in Continual Fine-tuning Large Language Models

Abstract: Recent advancements in continual fine-tuning have aimed to enhance the instruction-following capabilities of large language models (LLMs) within domain-specific contexts. However, these ...
IEEE

Enhanced Frequency Regulation using Tasmanian Devil Optimization tuned PID Controller for Hybrid Energy System with Electric Vehicle

Abstract: In this article, a maiden application of Tasmanian devil optimization (TDO) algorithm is presented to select the parameters of PID controller for frequency ...