Commonly associated with the financial sector, particularly cryptocurrencies, blockchain technologies have expanded into a ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Many organizations struggle to unlock the full potential of their people, often hindered by outdated management models ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Abstract: In this study, an optimal output feedback tracking control approach with a Q-learning algorithm is presented for Takagi–Sugeno (T–S) fuzzy discrete-time systems with immeasurable states.

In the era of global energy transition, battery inverters have evolved from simple power conversion devices into core hubs that link renewable energy generation, energy storage systems (ESS), and ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...