MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has developed a surface code quantum simulator based on FPGA. This innovative technology marks a new ...
New to the COMSOL Conference Boston for 2026, the COMSOL Innovation Contest* will provide six selected entrants with the opportunity to give a 10-minute presentation on the main stage and a chance to ...
Gas kinetic theory provides the fundamental framework for understanding the behaviour of gases from the molecular scale to macroscopic flow phenomena. Recent developments in simulation methods have ...
A wave breaks on the shore, sending up splashes of water and spray and creating eddies in the surrounding air. However, the digital simulation of this everyday natural occurrence is anything but ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
A new technical paper titled “Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review” was published by ...
An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...
Trends in RF technology are moving to much more complex, larger, denser, and dynamic structures than ever before. This is a natural evolution of RF technology as more techniques are developed to solve ...
Industrial automation is entering a phase where simulation accuracy and collaboration speed can matter as much as hardware performance. With ...
As e-commerce and logistics complexity grow, brands are turning to AI-driven simulation to forecast demand, test scenarios, ...
AZoRobotics on MSN
New analytical method makes hybrid soft-rigid robot simulations up to 1000× faster
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
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