Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Renewable energy (RE) offers a promising solution to address the electricity shortages in isolated and rural areas. Microgrid (MG) can incorporate various energy sources, including renewable ...

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

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...