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

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

The brain constantly blends split-second reactions with slower, more thoughtful processing, and new research shows how it ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...