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

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...

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 ...

For most people, the image that comes to mind at the mention of archaeology is ancient tombs or dinosaur fossils, not cutting ...

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 ...

A stunning new true-color mosaic of Mars is transforming how scientists—and the public—see the Red Planet. For decades, Mars ...