A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

For the Anomaly Detection module, we used bidirectional Long and Short-Term Memory (Bi-LSTM) to build an autoencoder network. Several essential experiments proved that our method has fewer parameters ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...