Deep learning systems are increasingly integrated into a vast array of critical applications ranging from autonomous vehicles to medical diagnostics, necessitating rigorous testing and evaluation ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...