Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...
Nullspace Inc., an engineering software company modernizing simulation software for radiofrequency applications, has released ...
Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...
The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...
The latest generation of astronomy algorithms is not just cataloguing stars and galaxies, it is learning the hidden rules ...
Advancements in 3D Animation and Visualization Enhanced Graphical Realism with NVIDIA Omniverse Integration It’s getting ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Genie Sim 3.0 draws from more than 10,000 hours of synthetic dataset, including real-world robot operation scenarios.
ABSTRACT: Nuclear quantum effects (NQEs) are essential for accurately modeling systems involving light atoms, particularly hydrogen bonding and proton transfer processes. This study investigates the ...