Facebook AI Research (FAIR) today unveiled PyTorch3D, a library that enables researchers and developers to combine deep learning and 3D objects.. As part of the release, Facebook is also open ...

Traditionally, deep learning systems are implemented on a computer to learn data representation and abstraction and perform tasks, on par with – or better than – the performance of humans.

To evaluate a protein docking model, DOVE scans the protein–protein interface of the model with a 3D voxel and considers atomic interaction types and their energetic contributions as input features ...

Deep learning makes X-ray CT inspection of 3D-printed parts faster, more accurate. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 10 / 221014135712.htm.

The proposed deep-learning-enabled dual-frequency multiplexing FPP technique is expected to fill the speed “gap” between 3D imaging and 2D sensing, achieving true single-frame, high-precision ...

Thus, the growing demand for 3D IC has generated considerable attention on the importance of reliability analysis and failure prediction. This research conducts 3D X-ray tomographic images combining ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.

To evaluate a protein docking model, DOVE scans the protein–protein interface of the model with a 3D voxel and considers atomic interaction types and their energetic contributions as input features ...