Abstract: A computer-implemented system and method relate to test-time adaptation of a machine learning system from a source domain to a target domain. Sensor data is obtained from a target domain. The machine learning system generates prediction data based on the sensor data. Pseudo-reference data is generated based on a gradient of a predetermined function evaluated with the prediction data. Loss data is generated based on the pseudo-reference data and the prediction data. One or more parameters of the machine learning system is updated based on the loss data. The machine learning system is configured to perform a task in the target domain after the one or more parameters has been updated.

Abstract: Techniques are provided herein for tracking activation events associated with a given serial number and using the data from the activation events to autonomously determine whether the serial number has been leaked. Numerous different characteristic parameters of activation events collected over a given time period for a serial number can be tracked and stored in a database. A plurality of different input variables can be generated based on the characteristic parameter data, which create the inputs that are used by a trained neural network to determine the leakage probability. If the leakage probability is determined to be above a certain threshold, an alert of some kind can be generated to indicate that the serial number has been leaked.

Abstract: Systems and methods of distributing replicas within a data center are disclosed. A replica distribution scheme for one or more shards is received. The replica distribution scheme indicates a number of replicas of the one or more shards to be distributed within a data center. The data center comprises a plurality of hosts divided into at least a first hierarchical level and a second hierarchical level. A usage score is calculated for a plurality of nodes in the first hierarchical level of the data center and the plurality of nodes is sorted in the first hierarchical level based on the calculated usage score. A set of replicas is distributed to one or more of the plurality of nodes within the first hierarchical level based on the sorting of the plurality of nodes.

Abstract: Systems and methods of distributing replicas within a data center are disclosed. A replica distribution scheme for one or more shards is received. The replica distribution scheme indicates a number of replicas of the one or more shards to be distributed within a data center. The data center comprises a plurality of hosts divided into at least a first hierarchical level and a second hierarchical level. A usage score is calculated for a plurality of nodes in the first hierarchical level of the data center and the plurality of nodes is sorted in the first hierarchical level based on the calculated usage score. A set of replicas is distributed to one or more of the plurality of nodes within the first hierarchical level based on the sorting of the plurality of nodes.