Abstract: A system includes a first integrated circuit package including a first group of one or more artificial intelligence processing units and a first chip-to-chip interconnect communication unit and a second integrated circuit package including a second group of one or more artificial intelligence processing units and a second chip-to-chip interconnect communication unit. The system also includes an interconnect between the first integrated circuit package and the second integrated circuit package, wherein the first chip-to-chip interconnect communication unit and the second chip-to-chip interconnect communication unit manage Ethernet-based communication via the interconnect using a layered communication architecture supporting a credit-based data flow control and a retransmission data flow control.

Abstract: Systems and methods for generating training data using synthesized input images for training a machine learning model for image enhancement in accordance with embodiments of the invention are described. The system may access a target image (e.g., captured by an imaging device), and generate an input image that corresponds to the target image. The input image and target image may then be used (e.g., as part of a training data set) to train the machine learning model. For example, a generated input image corresponding to a target image may represent a version of the target image as if it were captured in low light. The target image may be a target illuminated output to be generated by enhancing the input image. The input image and target image may be used to train a machine learning model to enhance images such as those captured in low light.