Which loss function did you use when training the autoencoder? Did you directly compute the MSE between the predicted SDF values and the ground truth? Additionally, how many steps did you train for?

This manuscript presents the library AI4HPC with its architecture and components. The library enables large-scale trainings of AI models on High-Performance Computing systems. It addresses challenges ...

It seems you can't do automatic gradient clipping for autoencoder training, as we're using manual optimization in Lightning. Have seen this in the docs for adding it ...

Abstract: Hyperspectral Unmixing (HSU) refers to the procedure of decomposing measured pixel spectra into a set of constituent spectral signatures known as endmembers and a corresponding set of ...

Aerobic exercise is hugely beneficial for health. But research increasingly shows you also need some resistance training. Here’s how to work it in. By Cindy Kuzma Anh Bui’s main focus as a physical ...

Background: Distal radius fractures are a common type of fracture. For patients treated with closed reduction with splinting, a period of rehabilitation is still required after the removal of the ...

With businesses finding new, inventive ways to make money with ChatGPT every day, it’s no surprise that AI training courses are becoming increasingly sought after. Workers in all sorts of industries ...