A new AI-powered tool delivers injection molding simulation results up to 1000 times faster than traditional methods, enabling engineers to explore vastly more design options during early development.

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for engineers ...

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

The new capability lets scientists simulate and visually inspect automated experiments before robots run them.

Abstract: In this paper, the study proposes a 3D scene analysis framework combining monocular depth estimation model and Monte Carlo simulation for data feature prediction and distribution pattern ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...

New Opentrons AI capability lets scientists simulate and visually inspect automated laboratory experiments before robots ...

Part 1 of a Python based simulation that models Faraday’s Law. Learn how electromagnetic induction can be visualized and studied using simple programming techniques. #physics #faradayslaw #pythonphysi ...

Part 2 of modeling Faraday’s Law using Python. This tutorial explores electromagnetic induction through code and simulation to better understand changing magnetic fields and induced currents. #physics ...

Visual Components has launched Visual Components 5.0, a major update to its 3D manufacturing simulation and robot offline programming software platform. The new version introduces faster simulation ...

Master Thesis: Building an Uncertainty-Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty ...