United States Army

Automating Combat Loading to Strengthen LSCO Readiness

Background In large-scale combat operations (LSCO), the U.S. military must rapidly move and maneuver forces across both ...
Tech Xplore

AI-run lab discovers six 3D-printable alloys for extreme heat

Using AI-driven materials design, a team of researchers at the University of Toronto Engineering has discovered a new set of ...
VoxelMatters

Nottingham and Berkeley researchers curb overcuring defects in volumetric 3D printing

Learn how researchers are enhancing volumetric 3D printing by reducing overheating and improving part accuracy using advanced ...
techxplore

Ultralight carbon fiber lattices achieve aluminum-level performance at a fraction of the weight

Researchers at Seoul National University have developed a new class of ultralight structural materials that combine the load-bearing strength of engineering materials with the weight of foam. Using a ...
usace.army.mil

Automated Vessel Selection and Combat Load Planning

In large-scale combat operations (LSCO), the U.S. must move and maneuver forces through intra-theater and inter-theater modes of transportation. This complex challenge requires efficient integration ...
GitHub

Tool for defining collections of scenes to be loaded together, as well as some scene management-related utilities.

Please note: this package is a WORK IN PROGRESS, I am making it for my own projects. Its structure is bound to change at any time as I find out what works and what doesn't. Most of this README's ...
IEEE

3D-AmplifAI: An Ensemble Machine Learning Approach to Digital Twin Fault Monitoring for Additive Manufacturing in Smart Factories

Abstract: In the digital age, the digital twin eliminates physical barriers and risks, facilitating seamless activities in both real and virtual worlds. In the context of additive manufacturing, ...