Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

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

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

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...