Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical ...

Finding defects in electron microscopy images takes months. Now, there’s a faster way. It’s called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural ...

Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

Linear accelerator operators use computer algorithms to automate some parts of the machine tuning process. These algorithms make fast decisions, but they have not yet incorporated fundamental physics ...

Before and after: example of image denoising as applied to atomic resolution imaging of a gold nanoparticle. On the left is the original experimental data as captured. On the right is the same image ...