In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google ...

A new patent filing describes an AI driven 3D printer that could automate patient specific implant production with minimal human touch time.

Quickly change the way a polygon model looks by adjusting its normals.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

I love creating things on my 3D printer, but I’ve always hit a wall because I’m not an engineer and traditional 3D design software can be really tricky. In ...