Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to move around a specified target ...

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Welcome! This guide will help you download and run our Python application, where you can find algorithms implemented in Python. Follow these steps to get started smoothly. Before downloading, make ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

Authors: Caroline Bennemann caroline.bennemann.1@ulaval.ca Jean-Martin Lussier jean-martin.lussier@nrcan-rncan.gc.ca Eric R. Labelle eric.labelle@sbf.ulaval.ca ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...