Oleksandra Dmytrenko provides a critical analysis of the application of modeling systems in the military education process ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

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

Most materials, especially metals and ceramics, are crystals. Their atoms are arranged in three-dimensional lattices that repeat the same exact pattern, over and over again. But there's a well-known ...

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

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

A simulated cell in the early stages of division. Left half shows membrane (green cubes), and ribosomes (yellow/purple) interwoven through in the cell’s chromosome (red). Right side shows all the ...

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough ...

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

Pinpointing the minimum and maximum transient noise bandwidth for a transient noise simulation is a non-trivial task. But these algorithms can help ease the challenge and ...

STMicroelectronics to integrate ST sensors, microcontrollers, and motor control solutions with NVIDIA robotics ecosystem to ...