A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

L7 Informatics’ Marcia Blackmoore on how structured data, digital workflows, and real-time orchestration are helping CDMOs deliver at scale without compromising quality.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

As research continues, commercial applications expand and manufacturing scales up, graphene is not only set to invigorate ...

The presence of pharmaceuticals and their transformation products in water sources is an emerging environmental concern, ...

The world economy is experiencing a major turning point, moving from abundance to scarcity, which alters economic dynamics and leads to potential inflation.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Institutions' substantial holdings in Angel Oak Mortgage REIT implies that they have significant influence over the company's share price. 53% of the business is hel ...