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

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 ...

The findings suggest that advanced AI models, when designed to reflect real-world system interdependencies, can reduce the digital divide in urban resilience planning. Rather than benefiting only data ...

Google also developed its own generative AI model called Gemini, which is capable of writing emails in Gmail, summarizing ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

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

Takeda Pharmaceutical will apply Iambic Therapeutics’ artificial intelligence (AI)-based technologies and wet lab capabilities to design and develop small molecule drugs through a multi-year tech and ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Explore how intelligent document processing transforms dark, unstructured data into actionable intelligence—enabling faster ...