Abstract: A boot process for a computing device, such as integrated circuit, includes security features that are inaccessible during certain operation modes. An image including permission to access those security features is received during the boot process and may be verified using one or more keys. In operation, access to the security features is permitted during the operation modes after the image is verified. Such an approach enables a boot process to permit access to certain features after receipt and verification of different images.

Abstract: Technologies are disclosed for using hardware-embedded monitors to monitor pages of local memory and detect attribute violations or other unauthorized operations relating to the memory. The attribute violations may include mismatches of attributes (e.g., designating a page as writeable versus executable or vice versa) in entries in a translation buffer that point to a same physical address or other mismatches between designations of attributes for a page in physical and virtual space. Responsive to detecting a violation, an alert or other mitigation protocol, which may include an audit of activities surrounding the violation, may be performed.

Abstract: The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and/or encrypting data.

Abstract: A deal value metric (or “deal score”) enables consumers to identify the quality of a ticket listing, and facilitates direct comparison of available event tickets having varying quality throughout a venue. The deal value metric disclosed herein also permits simultaneous comparison of tickets among multiple similar events, and provides a helpful criterion to supplement conventional search filters such as location or price.

Abstract: A method of persisting results of executing search queries across multiple data sources comprises obtaining a first data object as a result of executing a first search query against one or more data sources of a plurality of heterogeneous data sources; receiving a first request to store the first data object in a repository, a specific data source of the one or more data sources and the repository having different data models; determining that a repository data object with which the first data object resolves does not exist; generating a specific repository data object as a stub data object for the first data object, comprising: creating a unique identifier based on one or more data object properties that uniquely identify the first data object; and utilizing the unique identifier in the repository as a key or index value for the specific repository data object; storing the specific repository data object.

Abstract: An apparatus for alarm information determination includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with historical process control data, the process control data including a plurality of data signals, a plurality of alarm data, and data relating to an event of interest. The processing unit determines a plurality of correlation scores for the plurality of data signals paired with the plurality of alarm data, a correlation score being determined for a data signal paired with an alarm data, a high correlation score indicating a higher degree of correlation than a low correlation score. The processing unit identifies at least one first alarm data from the plurality of alarm data, the identification including utilization of the data relating to the event of interest.

Abstract: Disclosed is a method for generating a prediction model. The model can be used in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include extracting event features from event codes and structuring the event features into feature vectors. A first dimension of a first feature vector corresponds to a first event feature, and a second dimension of the first feature vector corresponds to a second event feature. The method can also include generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

Abstract: The disclosed computer-implemented method may include accessing various antenna elements and identifying parameters for an antenna that is to be formed using the accessed antenna elements. The method may also include assembling the antenna elements, using an artificial intelligence (AI) instance, into an assembled antenna that at least partially complies with the identified parameters. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include generating, using a machine-learning model of a computing device, a set of antenna designs. The method may also include tokenizing, by the computing device, each antenna design in the generated set of antenna designs. Additionally, the method may include predicting, by the machine-learning model of the computing device, a frequency response for each tokenized antenna design. Furthermore, the method may include comparing, by the computing device, the frequency response for each tokenized antenna design. Finally, the method may include selecting, by the computing device based on the comparison, an antenna design that meets a performance threshold for the frequency response. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A disclosed computer-implemented method may include (1) receiving (A) a set of design specifications associated with an antenna performance characteristic, (B) a set of requirements for an antenna architecture, (C) a parameterization that describes parameters of an antenna structure, and (D) a set of bounds for the parameterization, and (2) determining, based on the set of design specifications, the set of requirements, the parameterization, and the set of bounds, and in accordance with a global optimization algorithm and a local tuning algorithm, a design for the antenna architecture. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.

Abstract: The disclosed computer-implemented method may include accessing various antenna elements and identifying parameters for an antenna that is to be formed using the accessed antenna elements. The method may also include assembling the antenna elements, using an artificial intelligence (AI) instance, into an assembled antenna that at least partially complies with the identified parameters. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A consumer is identified at a transaction terminal. A natural-language voice chatbot is initiated for the transaction. The chatbot is configured with store information for a store associated with the terminal and, optionally, with preferences registered to the consumer. A natural language voice dialogue using, at least the store information, is initiated between the chatbot and the consumer while the consumer is at the terminal and during the transaction. The consumer may order store items from the store and pay for the items through the dialogue. In an embodiment, the items ordered are delivered to the terminal where the consumer is located.

Abstract: Disclosed is a method for generating a prediction model. The model can be used in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include extracting event features from event codes and structuring the event features into feature vectors. A first dimension of a first feature vector corresponds to a first event feature, and a second dimension of the first feature vector corresponds to a second event feature. The method can also include generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

Abstract: Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

Abstract: The present technology addresses the problem of quickly and safely improving policies in online reinforcement learning domains. As its solution, an exploration strategy comprising diverse exploration (DE) is employed, which learns and deploys a diverse set of safe policies to explore the environment. DE theory explains why diversity in behavior policies enables effective exploration without sacrificing exploitation. An empirical study shows that an online policy improvement algorithm framework implementing the DE strategy can achieve both fast policy improvement and safe online performance.

Abstract: The present disclosure provides methods and systems for managing medications by releasing them on a controlled access or schedule. The methods and systems may comprise the use of a pill release device. The pill release device may comprise a substrate comprising one or more containers, a cover configured to rest adjacent to one or more walls of the container, a fluid source in fluid communication with the cover, and circuitry operably coupled to the fluid source. The circuitry may send one or more electrical signals which may cause the fluid source to move a fluid to or away from the cover. The movement of the fluid may seal or unseal the over against the one or more walls, which may permit the pill to be received by or dispensed from the container.

Abstract: The present invention relates to tracking objects. Specifically, the present invention relates to determining the position and/or location of styli from image data. Aspects and/or embodiments seek to provide a method for determining an orientation and/or a position of a cylindrical object from image data using a single viewpoint.

Abstract: A method for generating a process model modeling a manual mode procedure instance of a plant process includes providing log events of operational actions; selecting related sequences of manual mode operational actions from the log events; filtering the related sequences according to an individual plant section; identifying a sequential order from the filtered related sequences; determining statistical properties of values of related process variables and/or statistical properties of values of related set point changes to each sequential ordered manual mode operational action from the filtered related sequences; generating the process model of the manual mode procedure instance by arranging related manual mode operational actions with the sequential order of each operational action assigned with the statistical properties of the values of related process variables and/or assigned with the statistical properties of the values of the related set point changes.

Abstract: The present technology addresses the problem of quickly and safely improving policies in online reinforcement learning domains. As its solution, an exploration strategy comprising diverse exploration (DE) is employed, which learns and deploys a diverse set of safe policies to explore the environment. DE theory explains why diversity in behavior policies enables effective exploration without sacrificing exploitation. An empirical study shows that an online policy improvement algorithm framework implementing the DE strategy can achieve both fast policy improvement and safe online performance.