Abstract: A system and method for facilitating predictive maintenance of an equipment is disclosed. The system may include a data capturer, a plurality of edge computing nodes and a cloud computing device. Each edge computing node may include a first processor. The cloud computing device may include a second processor. The first processor may receive the raw input data from the data capturer and may process the raw input data to obtain a representative data. The representative data may include an insight pertaining to a deviation in the at least one variable and a corresponding remedial action to be taken to correct the deviation. The deviation may be related to a deterioration in the condition of the equipment. The respective edge computing node may facilitate a regulation of the deviation by performing an automated actuation based on the corresponding remedial action.

Abstract: Various methods are provided for facilitating map update to an environment map using gradient thresholding. One example method may include detecting an observed feature associated with a first feature decay and generating an interpolated feature that approximates the observed feature associated with a second decay. The method also includes determining a gradient difference between the interpolated feature and a stored map feature. The stored map feature represents an encoding of the observed feature associated with a third decay associated with an environment map. The method also includes determining a relationship between the gradient difference and a feature gradient update threshold, and, based upon the relationship, updating the environment map by at least replacing the map feature representation associated with the environment map with the approximated feature representation.

Abstract: Systems, apparatuses, and methods for abstracting tasks in virtual memory identifier (VMID) containers are disclosed. A processor coupled to a memory executes a plurality of concurrent tasks including a first task. Responsive to detecting one or more instructions of the first task which correspond to a first operation, the processor retrieves a first identifier (ID) which is used to uniquely identify the first task, wherein the first ID is transparent to the first task. Then, the processor maps the first ID to a second ID and/or a third ID. The processor completes the first operation by using the second ID and/or the third ID to identify the first task to at least a first data structure. In one implementation, the first operation is a memory access operation and the first data structure is a set of page tables. Also, in one implementation, the second ID identifies a first application of the first task and the third ID identifies a first operating system (OS) of the first task.

Abstract: Methods, systems, and non-transitory computer-readable media are provided for deploying intent-driving cloud branches. An example method can include obtaining, by one or more controllers in a software-defined network (SDN), a branch network design template for deploying a remote branch in the SDN, wherein the branch network design template defines networking settings for a plurality of services to be provisioned at the remote branch; obtaining, by the one or more controllers, a plurality of software packages for the plurality of services to be provisioned at the remote branch; and based on the branch network design template and the plurality of software packages, provisioning, by the one or more controllers, the plurality of services at the remote branch and a network connectivity of the plurality of services.

Abstract: Determining which edge nodes should be used for data feed preprocessing based on response time between the edge nodes and the sources and network bandwidth usage. Edge node determination does not rely on which edge node is closest in physical proximity to the source, but rather makes a determination that minimizes transmission time and ensures network bandwidth usage is minimized. Machine learning models associated with source and edge node are trained over time based on observed response times and/or network bandwidth utilization, subsequently the models are executed with bandwidth network set to zero and the model outputting the lowest response time is deemed to be the edge node that is used.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, storing one or more encrypted files that are to be presented during an online meeting and receiving an acceptance to an invitation of the online meeting by at least one invitee of the online meeting. The method also includes, by the computing device, responsive to the acceptance of the online meeting invitation by the at least one invitee, sending the one or more encrypted files that are to be presented during the online meeting, wherein the invitee is prevented from accessing contents of the one or more encrypted files prior to a start of the online meeting.

Abstract: A method of save-restore operations includes monitoring, by a power controller of a parallel processor (such as a graphics processing unit), of a register bus for one or more register write signals. The power controller determines that a register write signal is addressed to a state register that is designated to be saved prior to changing a power state of the parallel processor from a first state to a second state having a lower level of energy usage. The power controller instructs a copy of data corresponding to the state register to be written to a local memory module of the parallel processor. Subsequently, the parallel processor receives a power state change signal and writes state register data saved at the local memory module to an off-chip memory prior to changing the power state of the parallel processor.

Abstract: Described herein are methods of generating learning data to facilitate de-biasing the labeled location of an object of interest within an image. Methods may include: receiving sensor data, where the sensor data is a first image; determining reference corner locations of an object in the first image using image processing; generating observed corner locations of the object in the first image from the determined reference corner locations; generating a bias transformation based, at least in part, on a difference between the reference corner locations and the observed corner locations of the object in the first image; receiving sensor data from another image sensor of a second image; receiving observed corner locations of an object in the second image from a user; and applying the bias transformation to the observed corner locations of the object in the second image to generate de-biased corners for the object in the second image.

Abstract: A Radio Access Network (RAN) wirelessly serves a User Equipment (UE) over a frequency channel based on a radio signal metric. The RAN comprises baseband circuitry and a radio. The baseband circuitry determines when multiple Physical Cell Identifiers (PCIs) are available to serve the UE. In response, the baseband circuitry selects some resource blocks in the frequency channel and generates a UE instruction to measure the radio signal metric for the selected resource blocks. The radio receives the UE instruction for the baseband circuitry and wirelessly transfers the UE instruction to the UE. The radio wirelessly receives a measurement report from the UE that indicates the radio signal metric for the selected resource blocks. The radio transfers the measurement report to the baseband circuitry. The baseband circuitry receives the measurement report and responsively schedules the UE in the selected resource blocks based on the radio signal metric.

Abstract: The disclosure relates to sidechain functionalized organosiloxane compounds comprising polyalkyleneoxide (POA) and/or polyalkyleneoxide coupled zwitterionic moieties with various other modular side chains including reactive and or non-reactive groups. The present disclosure further also pertains to ice-phobic polymer formulations capable of curing on a substrate to form a surface that is ice-phobic, resistant to ice formation, and/or resistant to ice adhesion. The disclosed ice-phobic polymer formulations comprise one or more disclosed sidechain functionalized organosiloxane compound, one or more binder resin, and/or one or more lubricating liquid. The present disclosure further relates to articles comprising the disclosed ice-phobic polymer compositions, thereby providing articles having ice-phobic properties. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: Learning-based power modeling of a processor core includes generating, using computer hardware, pipeline snapshot data specifying a plurality of snapshots for a pipeline of a processor core. Each snapshot specifies a state of the pipeline for a clock cycle in executing a computer program over a plurality of clock cycles. A plurality of estimates of power consumption for the processor core in executing the computer program for the plurality of clock cycles are determined, using an instruction-based power model executed by the computer hardware, a based on the pipeline snapshot data. The plurality of estimates of power consumption are calculated using the instruction-based power model based on the plurality of snapshots over the plurality of clock cycles.

Abstract: Techniques are described for sharing prepopulated container image caches among container execution environments to improve the performance of container launches. The container images used to prepopulate such a cache at a computing device supporting one or more container execution environments can include various container images that are used as the basis for a wide range of user-created containers such as, for example, container images representing popular operating system distributions, database servers, web-application frameworks, and so forth. Existing systems typically obtain these container images as needed at runtime when launching containers (for example, from a container registry or other external source), often incurring significant overhead in the container launch process.

Abstract: Systems and methods for units of work based on business objectives are disclosed. Exemplary implementations may: manage environment state information maintaining a collaboration environment configured to facilitate interaction by users, the environment state information defining units of work and business objectives associated with the units of work; obtain progress information, the progress information for individual business objectives conveying progress toward fulfillment of the individual business objectives; update objective records for the business objectives based on the progress information so that the progress of the business objectives is maintained by the objective records; and/or perform other operations.

Abstract: A memory system includes a memory device including memory banks and a data bus management circuit and a host coupled to the memory device. The host includes a memory controller detecting at least one trigger initiated by at least one application for performing at least one operation on data stored within the memory device, the at least one operation including at least one of a data copy operation, and a data processing operation, and performing the at least one operation on the data within the memory device by enabling movement of the data between the data bus management circuit of the memory device and at least one memory bank of the memory banks, without exchanging the data with the host, using at least one buffer fill command and at least one buffer copy command.

Abstract: Embodiments provide systems and methods to load balance using tenant affinities. A method includes configuring a load balancer with a set of tenant affinities, the set of tenant affinities including a tenant affinity for each of a plurality of tenants with respect to each of a plurality of computing nodes that provide services to users in a multitenant environment. Load balancing may include receiving a user request, associated with a tenant, for a service provided by the computing nodes, determining a highest tenant affinity computing node for the tenant using the set of tenant affinities and directing the user request to the highest tenant affinity computing node for the tenant.

Abstract: A method of verifying the programming of a plurality of memory cells in a data storage system includes performing a setup operation including settling of bit lines associated with the subset of memory cells; performing a sensing operation including subjecting the settled bit lines to a verify voltage signal; and performing first and second latching operations identifying memory cells of the subset of memory cells having threshold voltages that meet first and second verify reference voltages, where the first and second latching operations are part of the same program verify operation with no setup time between them.

Abstract: A processing unit is configured differently based on an identified workload, and each configuration of the processing unit is exposed to software (e.g., to a device driver) as a different virtual processing unit. Using these techniques, a processing system is able to provide different configurations of the processing unit to support different types of workloads, thereby conserving system resources. Further, by exposing the different configurations as different virtual processing units, the processing system is able to use existing device drivers or other system infrastructure to implement the different processing unit configurations.

Abstract: Emotional loneliness is referred as the absence of an attachment figure in one’s life and someone to turn to. The existing methods use installation of sensors for tracking the movement, behaviour and activity of the person, but most of the efforts are obtrusive in nature. A non-obtrusive method and system for detection of emotional loneliness of a person have been provided. The disclosure is utilizing multiple varied techniques to understand the emotional loneliness. The multiple techniques comprise room change movement anomalies, living room stay anomalies, correlating the living room stay with the bedroom stay and outdoor movement anomalies. The methodology also ensures reduced variance and false positives, as emotional loneliness is finally determined based on more than two positives of above methods. The detection of person’s movement is done using a featured engineered dataset based on collection of raw time series data collected from a plurality of motion sensors.

Abstract: A package that includes a substrate, a first integrated device coupled to the substrate, a first block device coupled to the substrate, a second encapsulation layer encapsulating the first integrated device and the first block device. The first block device includes a first electrical component, a second electrical component, a first encapsulation layer at least partially encapsulating the first electrical component and the second electrical component, and a first metal layer coupled to the first encapsulation layer.

Abstract: A graphics pipeline includes a cache having cache lines that are configured to store data used to process frames in a graphics pipeline. The graphics pipeline is implemented using a processor that processes frames for the graphics pipeline using data stored in the cache. The processor processes a first frame and writes back a dirty cache line from the cache to a memory concurrently with processing of the first frame. The dirty cache line is retained in the cache and marked as clean subsequent to being written back to the memory. In some cases, the processor generates a hint that indicates a priority for writing back the dirty cache line based on a read command occupancy at a system memory controller.