Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data usage monitoring to identify and mitigate ethical divergence. Disclosed example apparatus are to orchestrate resources in an edge environment based on ingested network traffic on an edge network, the ingested network traffic associated with a source node that is to source a target data stream and a target artificial intelligence (AI) application node that is to consume at least a portion of the target data stream. Disclosed example apparatus are also to execute a machine learning model based on the ingested network traffic to generate one or more outputs including at least one a first value representative of a data stream characteristic or a second value representative of an AI application node characteristic, determine the one or more outputs satisfy a threshold value, and generate an alert in response to the one or more outputs satisfying the threshold value.

Abstract: In one embodiment, an autonomous vehicle (AV) system determines that a collision between itself and another object is imminent based on data obtained from sensors attached to the AV. The AV system determines an optimal vehicle orientation for the collision, determines a vehicle path to position the vehicle in the optimal vehicle orientation, and autonomously controls the vehicle to travel along the determined vehicle path.

Abstract: In one embodiment, an autonomous vehicle (AV) system determines that a collision between itself and another object is imminent based on data obtained from sensors attached to the AV. The AV system determines an optimal vehicle orientation for the collision, determines a vehicle path to position the vehicle in the optimal vehicle orientation, and autonomously controls the vehicle to travel along the determined vehicle path.