Abstract: Functional activation-based analysis of deep neural networks uses a structured set of inputs (e.g., input datasets corresponding to different knowledge or datatype domains) are sequentially provided to a pretrained neural network (e.g., according to a block-sequence). The output values for each node in the neural network are recorded and stored as a time-series of layer output values. A statistical analysis of the time-series of layer output values may be fit as a function of the structured set of inputs to generate neural network analysis data that indicate activations of layers within the neural network based on the inputs.

Abstract: A method of evaluating a low voltage (LV) battery system includes collecting parameters of the LV battery system, determining a health of the LV battery system based on one or more health indicators of a plurality of health indicators, and based on determining that the battery system is in an unhealthy condition, identifying a cause of the unhealthy condition based on selection of a set of health indicators. Determining the health includes identifying an enabling condition related to charging or discharging of the LV battery system, selecting a set of health indicators from the plurality of health indicators based on the identified enabling condition, estimating a value of each of the set of health indicators, and determining whether the LV battery system is in a healthy condition or the unhealthy condition based on the collected parameters and the value of each of the set of health indicators.

Abstract: Digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. Uncertainty is resolved according to expected characteristics. The label of any image element with an uncertainty above a threshold is replaced with a new label corresponding to a segmentation class based on domain knowledge.

Abstract: Image recognition and report generation is described. A camera component of a mobile device captures image frames of a physical environment. Each frame is run through an image recognition library to identify object(s) of interest. An object of interest is determined and it is an item associated with periodic maintenance. An identification of the identified object of interest is transmitted to a server. The mobile device receives information about the identified object of interest from the server that is based on a location of the mobile device, the information including a maintenance plan for the identified object of interest.

Abstract: Approaches presented herein provide for a short circuit testing fixture in which a switch arm is associated with a switch bridge and with a trigger mechanism to enable testing of electrical shorts in high powered DC circuits. The trigger mechanism causes the switch arm to contact the switch bridge and close an energized circuit to cause a short. The switch arm maintains the closed energized circuit after the short until the circuit is deenergized.

Abstract: A method for making an audio speaker cover using at least some of the following steps, not necessarily in the sequence listed: evolving a CAD first stage model of an audio speaker cover with an array of apertures; determining a desired blank workpiece manufacturing configuration by electing to process a single blank workpiece or an assembly of stacked blank workpieces; affixing the single blank workpiece or stacked blank workpieces in relation to a CNC machine; addressing one or more of the stacks simultaneously or sequentially to create apertures in the audio speaker covers with parallel walls and square shoulders to provide strength while minimizing losses in sound transmission, the apertures and intervening lands providing a visually attractive appearance to an observer.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: The invention provides substituted tetrahydropyrrolo-pyridinone compounds, pharmaceutical compositions, and their use in treating muscarinic acetylcholine receptor mediated disorders.

Abstract: Systems and methods herein are for an automatic board probing station in which a plurality of probe tips are associated with a plurality of probe arms and with a plurality of motorized connectors, where the plurality of motorized connectors is to cause individual ones of the plurality of probe tips and individual ones of the plurality of probe arms to be movable independently, and where the plurality of probe tips is to communicate probe signals with a circuit analysis system and is to concurrently probe a plurality of probe points of a circuit board.

Abstract: The present disclosure provides a compound of formula (I), or a pharmaceutically acceptable salt thereof; a method for manufacturing the compounds of the disclosure, and its therapeutic uses. The present disclosure further provides a combination of pharmacologically active agents and a pharmaceutical composition.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: An information handling system includes a memory module, a memory controller coupled to the memory controller by a memory bus, and an expansion memory device coupled to the memory controller by a data communication interface. The memory controller receives user data, calculates error correction code (ECC) data for the user data, determines metadata related to the user data, writes the user data and the ECC data to the memory module via the memory bus, and stores the metadata to the expansion memory device with a transaction on the data communication interface.

Abstract: An information handling system includes a memory module, a memory controller coupled to the memory controller by a memory bus, and an expansion memory device coupled to the memory controller by a data communication interface. The memory controller receives user data, calculates error correction code (ECC) data for the user data, determines metadata related to the user data, writes the user data and the ECC data to the memory module via the memory bus, and stores the metadata to the expansion memory device with a transaction on the data communication interface.

Abstract: A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.

Abstract: Various embodiments herein include distributed hardware vulnerability identification and resolution. One method embodiment includes conducting an inventory of devices on a network and generating a queue of scanning jobs for each inventoried device to discover possible modes of network entry via each device. The method then proceeds by scanning devices on the network that are to be blocked according to a stored representation of an expected configuration of each device to identify devices of interest and queuing a new job for a deep scan of each device of interest. Each deep scan is executed to search one or both of a greater portion and in greater detail of a device of interest than prior scanning. The method then passes deep scan results to an incident manager to open an incident ticket for each device of interest.

Abstract: A flexible structure for holding an electronics module is disclosed. The flexible structure may comprise various straps and/or an elastomeric enclosure. The flexible structure may include one or more apertures configured to securely hold one or more raised portions of the electronics module.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.