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 ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

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

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

In fraud and bot detection, people usually think of fingerprinting as the classic browser or device fingerprint. This comes ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...