Abstract: An unauthorized-product detection system may compare data representing various authentication markers of items presumed to have been produced or sourced by a particular entity with stored data representing valid authentication markers of items produced or sourced by the particular entity. The authentication markers may represent inherent physical characteristics of the items or their packaging, or may be generated and applied to the items or their packaging to facilitate counterfeit detection and/or for other purposes. The data (some of which may be encrypted) may be captured using high-resolution cameras, scanners, or other devices, and then communicated to the unauthorized-product detection system for analysis. The system may maintain a data store of data representing captured or valid authentication markers and may store tracking information reflecting the use of various authentication markers.

Abstract: An unauthorized-product detection system may compare data representing various authentication markers of items presumed to have been produced or sourced by a particular entity with stored data representing valid authentication markers of items produced or sourced by the particular entity. The authentication markers may represent inherent physical characteristics of the items or their packaging, or may be generated and applied to the items or their packaging to facilitate counterfeit detection and/or for other purposes. The data (some of which may be encrypted) may be captured using high-resolution cameras, scanners, or other devices, and then communicated to the unauthorized-product detection system for analysis. The system may maintain a data store of data representing captured or valid authentication markers and may store tracking information reflecting the use of various authentication markers.

Abstract: Messages for customers and/or third parties may be generated and/or stored by a service provider. The messages may include user information associated with a resource or an account of a user. In some aspects, a message containing at least a portion of the user information may be provided to the user. The message may be configured to enable the user to associate information with the message. The service provider may receive an indication of the association between the information and the message. Based at least in part on the received indication, the service provider may perform an action corresponding to the action.

Abstract: A machine learning model deployment tool can receive a trained machine learning model and driven by a series of user interfaces and by received user input from the user interfaces, can automatically generate machine learning model software and deploy it to a hosting environment. The deployment of a machine learning model can be automated so that custom code does not have to be written by a human. Deployment can be to a single computing device, to a small scale service, to a small scale web service or to “the cloud”, e.g., as a high-scale, fault-tolerant web service utilizing hundreds of computers. Deployment can be guided by a series of user interfaces.

Abstract: A system, method, and software product provide for unsupervised identification of complex, nonlinear subspaces in high dimensional data. The system includes a vector quantization module, a weighted topology representing graph module, and an encoding module. The vector quantization module takes vector data inputs and extracts a group of inputs about a number of cluster centers, using a globally optimized clustering process. The weighted topology representing graph module creates a weighted graph of the vector space, using the cluster centers as nodes, weighting edges between nodes as a function of the density of the vectors between the linked nodes. The encoding module uses the weighted graph to recode the input vectors based on their proximity to the cluster centers and the connectedness of the graph. The recoded vectors are reinput into the vector quantization module, and the process repeated until termination, for example at a limited number of cluster centers.