DeepPBS is an AI tool that uses geometric deep learning to predict protein-DNA binding specificity from complex structures. It eliminates the need for high-throughput…
Browsing: Geometric Deep Learning
Geometric deep learning is a new theoretical concept in AI that integrates conventional deep neural networks into non-Euclidean space. It combines symmetry and invariance…
This article presents a novel approach to unsupervised recognition and segmentation of lesion images, using the framework of fast data density functional transform (fDDFT).…
VantAI, a leader in ML technologies for drug discovery, is excited to announce the appointment of Dr. Michael Bronstein as Chief Scientist in Residence.…
This work introduces a new equivariant quantum circuit (EQC) for learning tasks on weighted graphs, such as images, social networks, and molecules. The EQC…
Deep learning on groups is an area of geometric deep learning that is rapidly growing. Groups include homogenous spaces with global symmetries, such as…