A communication system and method that provides predictive and prescriptive analytics for a system running at an edge. In one embodiment, the communication system includes an architect subsystem configured to build, test and deploy a model based on sensor characteristics of the system. The sensor characteristics are from at least one of an operator input, a historical input, a specification input, and a subject-matter expert input. The communication system also includes an edge subsystem configured to receive said model and perform predictive and prescriptive analytics on sensor data from said system running on said model deployed at said edge.

A method of controlling a production process including a process step for the morphological modification of a bio-material matrix comprises obtaining digital input data acquired during each of a plurality of production runs of the process, which input data includes information from radiation within a portion of the electromagnetic or acoustic spectrum having interacted with the matrix at one or more locations within the process together with a process control parameter and production event data for the associated production run; generating in a computer a prediction model from a multivariate analysis of the digital input data, which model links the information directly with one or more of process control parameters, production run events and process control settings; and applying in the computer the prediction model to interacted information obtained from a new production run to generate as an output one or more of a process control parameter a process control event and a predicted production run event for the new production run for use in controlling the production process.

A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

A system for performing projective tests includes a web server, a database server, and an artificial intelligence (AI) server. The web server is coupled with an electronic data network and configured to provide a man-machine interface via the electronic data network to a remote client. The database server manages test and training data and is coupled with the web server. The AI server is coupled with the web server and the database server, and configured to execute one or more AI algorithms. The man-machine interface provides administrative tools to control a content of at least one projective test where the content may include at least one projective stimulus comprising at least one of an image, a video, an audio file, and a text file. The man-machine interface provides administrative tools that control a display associated with the projective test. The man-machine interface includes a plurality of web pages for providing interactive displays that allow a remote client to view and execute the projective test. The projective test includes an interactive display component for selecting a portion of projective stimuli and an interactive prompt configured to allow entry of additional data related to the selected portion. The system executes an AI algorithm to generate a score based on the selected portion and the response to the prompt. The system executes a second AI algorithm to associate characteristics to a user based on the selected portion of the projective stimuli, the response to the prompt, and scores from the past AI algorithm. The man-machine interface includes a plurality of web pages for providing interactive displays that allow a remote client to view and engage with their predicted scores and characteristics.

Circuit operation is improved through application of artificial intelligence to optimize circuit control. This can provide dynamic and intelligent supply regulation for power supplies which has particular advantages for the Internet of Things and other similar areas which require circuits to be used in different environments or with widely varying energy sources.

The invention provides a temporary installation of a system of RFID-based terminals and user-worn RFID devices within an event interrogation zone. At an event, terminals are located within, and associated with, vendor booths erected in the interrogation zone. User RFID devices are issued to users wishing to enter the interrogation zone. Each user RFID device includes an element worn by the user, and an attached or embedded RFID tag with a stored unique UserID. Products for sampling have unique ProductIDs. The terminals are programmed for: (1) retrieving the UserID when the user enters the vendor booth; (2) retrieving a ProductID of a product sampled by the user; and (3) retrieving the UserID when the user leaves the vendor booth. The UserID and timestamps of entry, departure, and ProductIDs of products sampled are communicated to a server. The system allows tracking of products sampled and user behavior during an event.

The disclosed technology provides solutions for improving simulation environments. In some aspects, a processor may be configured to select one or more location properties associated with a simulated road environment for testing an action of an autonomous vehicle. In some cases, the processor may identify a plurality of geographic locations having the one or more location properties associated with the simulated road environment. In some examples, the processor may generate the simulated road environment using map data associated with a first geographic location selected from the plurality of geographic locations. In some aspects, the processor may test the action of the autonomous vehicle using the simulated road environment.

The disclosed technology provides solutions for managing states of a simulated environment. In some aspects, a processor may be configured to provide a simulation environment for an autonomous vehicle (AV), wherein the simulation environment is associated with a plurality of simulation parameters each having a corresponding value dependent upon a state of the simulation environment. In some cases, the processor may determine at least one function for assessing a value of each of the plurality of simulation parameters at any time within a simulation time period. In some examples, the processor may receive a first query for a first value of at least one simulation parameter from the plurality of simulation parameters at a first time within the simulation time period. In some cases, the processor may return the first value of the at least one simulation parameter at the first time based on the at least one function.

The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include a processing device receiving sensor data indicating a state of an environment of a processing chamber processing a series of substrates according to a substrate processing procedure. The series of substrates may be processed subsequent to a preventive maintenance procedure. The processing device may determine a first set of values based on the sensor data. The set of values may indicate a likelihood an associated substrate comprises a first process result that meets a threshold condition of the substrate processing procedure. The processing device may further predict a first test result based on the first set of values. The first test result may indicate a likelihood a first substrate processed subsequent to processing the series of substrates comprises a second process result that meets the threshold condition.

Provided is an operation plan creation device that creates an operation plan for a load device in a microgrid including a renewable energy generation device and the load device. The operation plan includes a plan for performing a start operation or a stop operation of the load device. The operation plan creation device includes a creation unit that creates the operation plan on the basis of information related to a prediction value of power generated in the renewable energy generation device for an entire creation period of the operation plan, information related to power consumption characteristics of the load device, and information related to temporary power consumption necessary for the start operation or the stop operation of the load device included in the operation plan.