Impact Statement: The Lorentz-Equivariant Quantum Graph Neural Network (Lorentz-EQGNN) presented in this study offers a significant leap in quantum machine learning for high-energy physics (HEP) ...

Arctic sea ice extent for March set a record low in the 47-year satellite data record. Extent was below average everywhere except the East Greenland Sea. Nearly all March monthly average extents since ...

Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

Note that it is sometimes useful to fine-tune the embeddings model when it does not contain sufficient knowledge of the language related to a specific domain, for example, oncology or systems ...

Berlin, Germany, March 26, 2025 (GLOBE NEWSWIRE) -- Quantum Insights has launched a strategic initiative focused on knowledge integration and collaborative development across sectors. Under the ...

(MENAFN- GlobeNewsWire - Nasdaq) Quantum Insights introduces FinWeis to support cross-sector collaboration and structured knowledge management Berlin, Germany, March 26, 2025 (GLOBE NEWSWIRE ...

The Oxford Drug Discovery Institute is using artificial intelligence and ‘knowledge graphs’ to sift through vast amounts of biomedical data, potentially leading to faster treatments ...

This work marks a significant milestone in the field of quantum physics and materials science, bridging the gap between artificial and real atomic behaviors. Why it matters: 1. Quantum dots, often ...