The algorithm works on a two-step process. The first step involves an autoencoder, which is trained on simulated intelligent extraterrestrial signals so it knows what to look for. Basically ...

Lee and co-workers are developing a deep-learning algorithm called a shortcut autoencoder that can restore ... they have improved applicability to 1-D signals (e.g., human speech), and are testing ...

To create a set of training data, Peter inserted simulated signals into real data, and then used this dataset to train an AI algorithm called an autoencoder. As the autoencoder processed the data ...

By combining a GAN with an autoencoder, the researchers crafted ... TadGAN could help companies like Zoom monitor time series signals in their data center -- like CPU usage or temperature ...