Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

Intentsify sees growth via high data demand; announces new audience products, boosting capabilities for B2B marketing, ...

Teachers can use these questions to draw students out and get worthwhile formative assessment responses to guide instruction.

The advertising industry spent years fixating on the size of identity graphs. Rokt is making a compelling case that what you ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

AHOY, the deep‑tech infrastructure company building the operational layer for Real‑World AI, today announced it has surpassed $100 million in annual recurring revenue. Following early-stage ramp-up, ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...