Autoencoders are based on neural networks, and the network consists of two parts: an encoder and a decoder. Encoder compresses the N-dimensional input (e.g. a frame of sensor data) into an ...

In the realm of infrastructure maintenance, a novel approach to detecting concrete bridge damage has emerged. Researchers ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...