Memory devices, and methods of operating similar memory devices, include an array of memory cells comprising a plurality of access lines each configured for biasing control gates of a respective plurality of memory cells of the array of memory cells, wherein the respective plurality of memory cells for one access line of the plurality of access lines is mutually exclusive from the respective plurality of memory cells for each remaining access line of the plurality of access lines, and a controller having a plurality of selectively-enabled operating modes and configured to selectively operate the memory device using two or more concurrently enabled operating modes of the plurality of selectively-enabled operating modes for access of the array of memory cells, with each of the enabled operating modes of the two of more concurrently enabled operating modes utilizing an assigned respective portion of the array of memory cells.

Application monitoring techniques comprising predictive anomaly detection and fault isolation are disclosed for use in an information processing system environment. For example, an apparatus comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to obtain application-level data generated for an information processing system in accordance with execution of an application and obtain hardware-level data generated for the information processing system in accordance with the execution of the application. The processing device is further configured to utilize an unsupervised machine learning model to predictively detect anomalous behavior in accordance with the execution of the application in the information processing system, based on at least a portion the application-level data and the hardware-level data. The processing device may also initiate fault isolation in addition to predicting anomalous behavior.

The following relates generally to diagnosing problems with websites. In some embodiments, a webpage interaction processor receives a list of potential user experience problems. The webpage interaction processor then extracts click data from the website, and processes the extracted click data into grams. Subsequently, an analytics engine is trained based on the processed click data. The trained analytics engine may then diagnose the problem of the website with a potential user experience problem from the received list of potential user experience problems. In some embodiments, the process is entirely automated.

A method and apparatus for data analysis according to various aspects of the present invention is configured to test a set of components and generate test data for the components. A diagnostic system automatically analyzes the test data to identify a characteristic of a component fabrication process by recognizing a pattern in the test data and classifying the pattern using a neural network.

A hierarchical fault detection and isolation system, method, and/or computer program product that facilitates fault detection and isolation in a complex networked system while reducing the computational complexity and false alarms is provided. The system, method, and/or computer program product utilizes a system level isolation and detection algorithm and a diagnostic tree to systematically isolate faulty sub-systems, components, etc. of the complex networked system.

A method, computer system, and a computer program product for computer memory structural analysis are provided. A processor receives test results that indicate baseline interface voltage level that is from a transient data transmission and is measured at the computer memory. In response to detecting, via the processor, that the test results indicate a baseline wander for the baseline interface voltage level of the computer memory, the processor generates, based on the baseline wander, an identification of an associated structural communication flaw of the computer memory and a compensation recommendation for compensative for the structural flaw. The processor transmits the compensation recommendation for presentation of the compensation recommendation.

The present invention relates generally to a system and method for measuring the structural characteristics of an object. The object is subjected to an energy application processes and provides an objective, quantitative measurement of structural characteristics of an object. The system may include a device, for example, a percussion instrument, capable of being reproducibly placed against the object undergoing such measurement for reproducible positioning. The invention provides for a system and methods for analyzing measured characteristics to identify issues and pathologies in the object, such as a tooth, and to recommend follow-up courses of action.

Memory devices, and methods of operating similar memory devices, include an array of memory cells comprising a plurality of access lines each configured for biasing control gates of a respective plurality of memory cells of the array of memory cells, wherein the respective plurality of memory cells for one access line of the plurality of access lines is mutually exclusive from the respective plurality of memory cells for each remaining access line of the plurality of access lines, and a controller having a plurality of selectively-enabled operating modes and configured to selectively operate the memory device using two or more concurrently enabled operating modes of the plurality of selectively-enabled operating modes for access of the array of memory cells, with each of the enabled operating modes of the two of more concurrently enabled operating modes utilizing an assigned respective portion of the array of memory cells.

An event graph schema for a technology landscape may be determined, where the technology landscape is characterized using scores assigned to performance metrics. The event graph schema may include a plurality of nodes corresponding to the performance metrics and the scores, and directional edges connecting node pairs of the plurality of nodes, with each directional edge having a score-dependent validity criteria defined by scores of a corresponding node pair. Anomalous scores associated with an event within the technology landscape may be used to find anomalous nodes. Valid edges connecting two of the anomalous nodes and satisfying the score-dependent validity criteria thereof may be used to determine at least one path that includes the valid edges and connected anomalous nodes. In this way, it is possible to traverse the at least one path to identify at least one of the connected anomalous nodes as a root cause node of the event.

Configurable operating mode memory devices are disclosed. In at least one embodiment, a memory device is configurable into one or more operating modes. An array of memory cells can be allocated into one or more partitions where each partition is associated only with a particular mode of operation. In at least one other embodiment, a memory device is configured to store user data in a portion of a memory array and to store data corresponding to a logical function associated with a different operating mode of the memory device in a different portion of the memory array.