Scientists used atomic force microscopy (AFM) with deep neural networks and unsupervised machine learning to capture individual conformers under physiological conditions. Human RNAs are ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

Additionally, Grad-CAM visualization, a kind of "AI X-ray ... More information: Weixiang Huang et al, Improved neural networks for the classification of microplastics via inferior quality Raman ...

On the right is a visualization of a healthy brain with intact ... or direct current stimulation (tDCS), to target the ...

One option is to develop processors that are a better match to the sort of computational needs of neural networks, which require many trips to memory and a lot of communication between artificial ...