As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Patent 22050740 B2. Soybean Cultivar 22050740. Soybean cultivar. Jason Aaron Long, Forrest City. Patent 12523456 B2. Device, ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Leveraging that position in our demand-side technology to acquire more users for these apps creates a flywheel effect of ...

As this complexity deepens, a simple truth emerges: classical measurement frameworks cannot keep pace with a system that is ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing inf ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

One major benefit of HISA was a national system that aggregates racehorse veterinary records into a single, searchable ...