Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a product. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a product, based on a causal model that measures causal relationships between input settings and a measure of a quality of the product; ii) determining the measure of the quality of the product manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the product manufactured using the configuration of input settings, the causal model.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

Abstract: Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.