A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data centers.

CADEXSOFT announces new features and improvements in Manufacturing Toolkit 2026.1. In this new release, core MTK binaries have been renamed from CadExMTK to MTKCore. This change aligns binary naming ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

Discover the key differences between WebVPython and Matplotlib in this detailed comparison! This video explains how each tool handles 3D and 2D visualizations, interactive simulations, and plotting ...

We are looking for candidates for 3-month summer jobs as research assistant in the Intelligent Robotics group at Aalto University (up to 4 positions).

Abstract: Deep Reinforcement Learning for complex control problems is often constrained by the computational cost of training, which depends heavily on the simulation environment. This paper presents ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

A simple and efficient method to integrate the Solvecaptcha captcha-solving service into your code, enabling the automation of solving various types of captchas. Examples of API requests for different ...

Abstract: Increasing global demand has led to calls for better methods of process improvement for semiconductor wafer manufacturing. Of these methods, digital twins have emerged as a natural extension ...