Dual collaborative robots (cobots) with X-ray source and detector execute raster scanning trajectories for computed laminography inspection of large composite structures. Source (All Images) | ...
The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national ...
The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.
Abstract: X-ray spectrum plays a very important role in dual energy computed tomography (DECT) reconstruction. Because it is difficult to measure x-ray spectrum directly in practice, efforts have been ...
Abstract: Limited-angle computed tomography (CT) remains a topic of active research due to its potential to address practical challenges such as scanning constraints and low dose demands. This ...
A Tsinghua University team claims sub second volumetric 3D printing with fine features, and the trick is moving the optics instead of the resin.
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A new study finds vibe coding improves when humans give the instructions, but declines when AI does, with the best hybrid setup keeping humans foremost, with AI as an arbiter or judge. New research ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
This is the source code for TGFSR, a novel deep learning model for super-resolution reconstruction of Digital Elevation Models (DEMs). This model utilizes a unique Attribute-Guided Iterative Evolution ...
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