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

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 ...

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 ...

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

To make good decisions, people, automation and AI systems need quality data — but to let an AI agent make an autonomous ...

Artificial intelligence is currently advancing at a velocity that few executives have witnessed in their careers. New capabilities are not emerging annually, but quarterly, and in some cases, monthly.

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

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

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

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