Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode ...

New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.

The AI Physics breakthrough will expedite product development and support advanced space missions and robotics BOSTON, April 21, 2026 /PRNewswire/ -- Flexcompute, the physics company, and Northrop ...

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL) have achieved a significant milestone by demonstrating the first digital ...

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re not there yet. Robotics is still held back by a paucity of data from ...

AI-driven operator learning models like Fourier Neural Operator and DeepONet are redefining simulation speed, producing results in seconds instead of hours. Coupled with automation tools such as ...

From AI literacy & cybersecurity awareness to leadership & sustainability, here's what engineers must master to thrive amid ...

HiPhyEngine brings FEM and MPM simulation to Blender with a unified solver, plus a 180 day trial for evaluation.

SiS talks to Lorenzo Servadei, Head of AI for Chip Design, Sony AI. SIS: How do you see AI-powered EDA redefining the chip ...

Scientists in Germany have pulled off a staggering computing feat by fully simulating a 50-qubit quantum computer for the ...

In the Earth’s orbit, a few centimeters can be the difference between a successful ...