The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

A recent study from the lab of Dr. Jianrong Tang, associate professor at Baylor College of Medicine and principal investigator at the Jan and Dan Duncan Neurological Research Institute (Duncan NRI) at ...

A new ultra-small and ultra-flexible electronic neural implant, delivered via blood vessels, can record single-neuron activity deep within the brains of rats, according to new study. "This technology ...