In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Modern developers are not only technical executors but also business insight providers, system designers, and innovation promoters. AI, cloud computing, microservices, and low-code platforms are ...

Future developers are not just technical executors but also business insight providers, system designers, and innovation promoters. AI, cloud computing, microservices, and low-code platforms are ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning.

ChatGPT broke Stanford. Computer Science students finishing assignments in 10 minutes that should take 10 hours. TAs can’t ...

A Slovak research team has developed a mathematical model for determining the optimum tilt angle of a solar system ranging from 0° to 90°. Their framework was tested on an experimental setup in ...

This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

REBCO HTS coil optimization framework for fusion and antimatter applications. Includes electromagnetic modeling, mechanical reinforcement analysis, AC loss calculations, and Monte Carlo sensitivity ...