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.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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 ...

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 ...

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

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

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

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

A recent study examining credit evaluation across five public community colleges and universities found pronounced pain points for both learners and the campus personnel supporting them in evaluating ...