Abstract: An apparatus includes a flow cell, an imaging assembly, and a processor. The flow cell includes a channel and a plurality of reaction sites. The imaging assembly is operable to receive light emitted from the reaction sites in response to an excitation light. The processor is configured to drive relative movement between at least a portion of the imaging assembly and the flow cell along a continuous range of motion to thereby enable the imaging assembly to capture images along the length of the channel. The processor is also configured to activate the imaging assembly to capture one or more calibration images of one or more calibration regions of the channel, during a first portion of the continuous range of motion. The processor is also configured to activate the imaging assembly to capture images of the reaction sites during a second portion of the continuous range of motion.

Abstract: Whether to train a new neural network model can be determined based on similarity estimates between a sample data set and a plurality of source data sets associated with a plurality of prior-trained neural network models. A cluster among the plurality of prior-trained neural network models can be determined. A set of training data based on the cluster can be determined. The new neural network model can be trained based on the set of training data.

Abstract: Techniques that facilitate layered stochastics anonymization of data are provided. In one example, a system includes a machine learning component and an evaluation component. The machine learning component performs a machine learning process for first data associated with one or more features to generate second data indicative of one or more example datasets within a degree of similarity to the first data. The first data and the second data comprise a corresponding data format. The evaluation component evaluates the second data for a particular feature from the one or more features and generates third data indicative of a confidence score for the second data.

Abstract: A system and a method of managing a manufacturing process includes receiving production data relating to the manufacturing process and determining an operational mode associated with the manufacturing process using historical, multivariate senor data. The method may further determine a recommended action to affect production based on the determined operational mode. The operational mode may be based on at least one of: a level of operation in a continuous flow process relating to a joint set of process variables, a representation of a joint dynamic of the set of process variables over a predefined length, and a joint configuration of an uptime/downtime of a plurality of units comprising a process flow.

Abstract: A storage and display assembly with a base defining a cavity configured to receive a product. A lid is mounted to the base covering the cavity. A hang tag is mounted to the base. The hang tag has a first position with a first end of the hang tag engaging an inner surface of the lid securing the lid to the base and a second position with the first end of the hang tag is disengaged from the inner surface of the lid.

Abstract: Techniques for assessing the proficiency of artificial intelligence agents and users in a given knowledge domain are described. A plurality of proficiency agents can be initialized with a plurality of proficiency scores, by performing a plurality of assessments between pairs of proficiency agents selected from the plurality of proficiency agents. A first client device associated with a first user is matched with a first proficiency agent of the plurality of proficiency agents, based on a first proficiency score associated with the first user and a second proficiency score of the plurality of proficiency scores corresponding to the first proficiency agent. Assessments results of an assessment performed between the first client device and the first proficiency agent are received, and a rating system update function is used to update the first proficiency score and the second proficiency score, based on the assessment results.