An autoencoder is a neural network that is trained to reconstruct its input data. It consists of two main components: 1) An encoder 2) A decoder The encoder takes in input data (e.g. an image) and ...

In the late 1990s, five car makers, a communications tools manufacturer, and what is now Freescale Semiconductor founded the LIN Consortium to develop a low-cost automotive communications standard.

The move toward more systems to assist drivers as we transition to fully automated vehicle has an impact on the development of brake systems. In order to create the brake systems of the future, this ...

As stated in the previous installment, LIN slaves can use a timer input capture channel for reception and a general purpose output pin for the transmit channel. Two Freescale LIN application notes, ...