By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

The impact of AI on GDPR centers on the tension between AI's need for massive datasets and GDPR's principles of data ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Better satellite imaging, machine learning and 700 hours of manual mapping have revealed hidden coral reefs in northern ...

This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores ...

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...