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UNAM researchers have developed the first 3D model of Popocatépetl's interior using AI, helping to predict volcanic activity ...
The project’s goal is to understand the peak’s internal structure, resolve questions as to the existence of magma chambers ...
A team from the Hebrew University of Jerusalem has developed a low-cost, non-invasive method to estimate total leaf area in dwarf tomato plants using 3D reconstruction from standard video footage. The ...
This remarkable house was built using 3D-printing technology, but with a sustainable twist: instead of being constructed ...
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Interesting Engineering on MSNNew research by US engineers improves strength prediction in 3D printingA combined testing approach offers new insights into how the gyroid infill 3D printing pattern contributes to a part’s ...
Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.
A team from the Hebrew University of Jerusalem has developed a low-cost, non-invasive method to estimate total leaf area in dwarf tomato plants using ...
After training their model, the researchers used it to generate structure predictions for more than 2,000 DNA sequences, then compared them to the experimentally determined structures for those ...
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