Abstract: Embodiments of product handling systems facilitate transfer of individual product items from incoming bulk form into dedicated trays for inspection, sorting, selection, and packaging. Inspection may comprise interrogation of product items within a tray by electromagnetic (e.g., optical, hyperspectral) or other (e.g., physical, acoustic, gas sensing, etc.) techniques. Prior to packaging, product items disposed within the tray may be stored in a moveable carousel responsible for controlling environmental factors such as temperature, humidity, illumination, ambient gases, product-to-product interactions, and/or others. Movement of product items from a carousel's transfer station to an outside staging position may be accomplished using robots and/or conveyor belts. Embodiments may allow rapid, low-cost consumer selection of specific individual product items based upon their accompanying metadata (e.g., source, identifier), in combination with the results of inspection (e.g., visual appearance).

Abstract: A method is described. The method comprises obtaining a recording of one or more physical interactions performed in relation to one or more physical components, in a simulation environment, playing back the recording such that the one or more physical interactions are represented in the simulation environment, and in the simulation environment, detecting a user interaction with one or more physical components of the simulation environment. The method further comprises determining whether the user interaction is congruent with at least one corresponding physical interaction of the one or more physical interactions in the recording, and in response to such congruence, continuing playback of the recording in the simulation environment.

Abstract: Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.