In this interview, Namshik Han explains the role quantum algorithms can play in drug discovery research and what makes a ...

Despite the continent’s booming urge for AI also lies challenges hindering AI adoption and presents strategic approaches to address these obstacles, specifically targeting Africa’s socio-economic and ...

For decades, Australian innovation policy discourse has been organised around the valley of death, the gap where good ideas ...

Children have developed coping mechanisms that reveal learned helplessness. Their adaptation is evidence of how thoroughly ...

LR was chosen as the best algorithm for model construction, and the model demonstrated excellent performance, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.866, a ...

We are not prepared to live in a world in which everything that makes our experiences and expressions human can be replicated ...

This repository contains the code solutions and projects I develop as part of my first programming goal for 2025. The goal is to create one program every day for 20 days, focusing on learning, ...

ALX Coding Interview Challenges involve solving a variety of coding interview questions covering algorithms, data structures, and problem-solving techniques. This repository contains the code ...

Abstract: Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, ...

Abstract: Vehicle Routing Problem (VRP) is an NP-hard problem in transportation and logistics that aims to optimize vehicle routes for minimizing transportation costs while serving customers.

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.