The model takes the input and simultaneously feeds it into the quantum layer and the classical layer for parallel processing before combining the outputs of both layers to produce the final output.

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and ...

A new study published in this month’s Journal of Neural Engineering demonstrates how a brain-computer interface (BCI) uses artificial intelligence (AI) deep learning to translate brain activity to ...