A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

SHERLOCK, a rapid CRISPR-based diagnostic, detects Candida auris and antifungal resistance mutations in patient samples in under an hour.

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...