Abstract: Systems, apparatuses and methods may provide for technology that determines a stencil value and uses the stencil value to control, via a stencil buffer, a coarse pixel size of a graphics pipeline. Additionally, the stencil value may include a first range of bits defining a first dimension of the coarse pixel size and a second range of bits defining a second dimension of the coarse pixel size. In one example, the coarse pixel size is controlled for a plurality of pixels on a per pixel basis.

Abstract: A machine learning based computing method for computing optimal time for sending email, is disclosed. The machine learning based computing method includes steps of: receiving inputs from second users; extracting data associated with the first users and the second users from databases, based on the inputs received from the second users; computing electronic mail feature scores based on the extracted data associated with the first users and the second users, for each specified interval of contact prediction window; computing first user electronic mail scores for each specified interval of the contact prediction window based on the electronic mail feature scores for each specified interval of the contact prediction window, using a machine learning model; and computing at least one of: the optimal times and a prioritized list of the optimal times by ranking each specified interval of the contact prediction window associated with the first user electronic mail scores.

Abstract: The embodiments herein provide a method for reducing KPI data. The disclosed technique is used to reduce insignificant KPI data generated by network entities (NEs) such as Radio Access Network (RAN) or element management system (EMS)/network management system (NMS). Further, the method includes determining a threshold value for each KPI data to determine significance of the KPI data and uses the threshold value to reduce the KPI data in a file. Further, the method includes utilizing a network bandwidth (e.g., control plane traffic load) and a storage space in the EMS/operations support system (OSS) efficiently and helps operators of the EMS/OSS to identify a network KPI deterioration in near real time.

Abstract: A method, computer program product, and computer system for using agents at a data lake to assist training, testing, and deploying a model for predicting one or more outputs from specified input to the model, using agents at the data lake. The agents identify at the data lake: hardware resources, a first portion of model input data for training and testing the model, a training language, and a first software resource. A first execution of the first software resource is triggered to split the first portion of the model input data into training input data and testing input data. A first portion of the hardware resources is identified for training and testing the model. A second software resource stored at the data lake is identified for optimizing the model in accordance with an optimization algorithm. Training the model at the data lake is triggered.

Abstract: A system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor. The processor is configured to receive alarm data related to equipment in a telecommunication network. The processor is configured to receive a correlation rule and a mass outage rule, wherein each mass outage rule is associated with a correlation rule. The processor is configured to perform a first aggregation using the alarm data based on domain, vendor, equipment type, classification, or geographic information; and associate the aggregated alarm data with a corresponding correlation rule. The processor is configured to determine a number of pieces of equipment that are associated with each correlation rule; determine whether the determined number is equal to or greater than a threshold value; and generate an incident report in response to the number of pieces of equipment being equal to or greater than the at least one threshold value.

Abstract: An example apparatus includes: bandwidth estimator circuitry configured to: obtain a first memory transaction; and determine a consumed bandwidth associated with the memory transaction; and gate circuitry configured to: permit transmission of the memory transaction to a memory controller circuitry; determine whether to gate a second memory transaction generated by a source of the first memory transaction based on the consumed bandwidth of the first memory transaction; and when it is determined to gate the second memory transaction, prevent transmission of the second memory transaction for an amount of time based on the consumed bandwidth.

Abstract: Certain aspects of the present disclosure provide techniques that may allow a device participating in a setup procedure to efficiently propose a range of values for a negotiated parameter. The techniques may reduce setup time, for example, allowing a responder to accept a value within the proposed range which may eliminate overhead associated with some of the back and forth message exchange of typical negotiations.

Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

Abstract: Methods and apparatus relating to data initialization techniques. In an example, an apparatus comprises a processor to read one or more metadata codes which map to one or more cache lines in a cache memory and invoke a random number generator to generate random numerical data for the one or more cache lines in response to a determination that the one more metadata codes indicate that the cache lines are to contain random numerical data. Other embodiments are also disclosed and claimed.

Abstract: Methods are provided for fabricating electrochromic devices that mitigate formation of short circuits under a top bus bar without predetermining where top bus bars will be applied on the device. Devices fabricated using such methods may be deactivated under the top bus bar, or may include active material under the top bus bar. Methods of fabricating devices with active material under a top bus bar include depositing a modified top bus bar, fabricating self-healing layers in the electrochromic device, and modifying a top transparent conductive layer of the device prior to applying bus bars.

Abstract: Techniques for an email-security system to screen emails, extract information from the emails, analyze the information, assign probability scores to the emails, and classify the emails as likely fraudulent or not. The system may analyze emails for users and identify fraudulent emails by analyzing the contents of the emails. The system may evaluate the contents of the emails to determine probability score(s) which may further determine an overall probability score. The system may then classify the email as fraudulent, or not, and may perform actions including blocking the email, allowing the email, flagging the email, etc. In some instances, the screened emails may include legitimate brand domain addresses, names, images, URL(s), and the like. However, the screened emails may contain a reply-to domain address that matches a free email service provider domain. In such instances, the email-security system may assign a probability score indicative that the screened email is fraudulent.

Abstract: A low voltage differential signaling (LVDS) receiver includes a receiver circuit including first and second inputs coupled to first and second conductive pads, respectively, and an output coupled to an input of a digital controller, and a dummy transmitter circuit including a first input coupled to receive a common mode voltage (VCM) tune signal, a second input coupled to a loopback input signal, a third input coupled to a loopback enable signal, a first output coupled to the first input of the receiver circuit, and a second output coupled to the second input of the receiver circuit. When a test mode of operation is enabled, the digital controller asserts the loopback enable signal, and the dummy transmitter circuit generates a pair of test differential signals based on the VCM tune signal, wherein the VCM tune signal varies to test the LVDS receiver over a range of common mode voltages.

Abstract: The disclosure provides methods, apparatus and machine-readable mediums for mitigating power failures in base stations in wireless communication networks. In one aspect of the disclosure, a method for mitigating power failures in a wireless communication network is provided. The method comprises, responsive to a determination that a primary power supply for a base station in the wireless communication network has failed or is predicted to fail, initiating deployment of an unmanned aerial vehicle to the base station to charge one or more batteries providing a secondary power supply for the base station.

Abstract: A plurality of security rule processing nodes is configured for network traffic of a set of sources and destinations. Respective subsets of configuration information of the sources and destinations, including security rules, are transmitted to the nodes. Respective addresses of at least a subset of the nodes are transmitted to a packet processing intermediary. The intermediary requests evaluation of applicable security rules with respect to packet flows by selected nodes prior to initiating routing actions for packets of the flows.

Abstract: A biopsy forceps includes an end effector with opposing first and second jaws coupled together and configured to move from an open configuration to a closed configuration. Each of the first jaw and the second jaw includes a plurality of teeth having a base. The bases of two adjacent teeth of the first jaw are spaced apart to form a first gap, and the bases of two adjacent teeth on the second jaw are spaced apart to form a second gap. The end effector in the closed configuration may define one or more windows between edges of the first and the second jaws. And, at least one of these windows may include at least a portion of one or both of the first and second gaps.

Abstract: A system and a method are disclosed for identifying a subjectively interesting moment in a transcript. In an embodiment, a device receives a transcription of a conversation, and identifies a participant of the conversation. The device accesses a machine learning model corresponding to the participant, and applies, as input to the machine learning model, the transcription. The device receives as output from the machine learning model a portion of the transcription having relevance to the participant, and generates for display, to the participant, information pertaining to the portion.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for managing data traffic in restricted target wake time (TWT) service periods (SPs). In some aspects, an access point (AP) may transmit a packet, at the beginning of a restricted TWT SP, that signals all non-member wireless stations (STAs) to defer access to the wireless medium for at least a threshold duration. Upon receiving the packet, any non-member STAs that are associated with the AP may set their network allocation vectors (NAVs) according to the duration indicated by a duration field of the received packet. In some implementations, low-latency STAs that are members of the TWT SP may not set their NAVs according to the duration field of the received packet. Instead, the low-latency STAs may access the wireless medium before the NAVs associated with the non-member STAs expire.

Abstract: A method is provided. The method may be performed by a UE. The method includes attempting to attach to or to perform a tracking area update in an EPS network to obtain voice services for a number of times. The method includes starting a modified timer based on a failure to attach to or to perform the tracking area update in an EPS network for the number of times and based on a configuration parameter. The modified timer may be modified based on a default timer. The method includes keeping an S1 mode enabled when starting the modified timer. The method includes attempting to obtain the voice services based on one or more access technologies other than EPS. The method includes attaching to or performing a tracking area update in the EPS network to obtain voice services based on the modified timer.

Abstract: Techniques for automatically generating reports based on organizational data. For example, a computer system can include a database of organizational data associated with the organization. The organizational data includes a plurality of employee data objects and a plurality of previously generated report configuration files. The system can include a machine-learned model configured to generate a report configuration file based on a prompt. The machine-learned model can be trained using the plurality of previously generated report configuration files. The system can receive a user query requesting a report associated with the organizational data. Additionally, the system can process, using a natural language processing model, the user query and the employee data objects to generate a prompt. Moreover, the system can process, by the machine-learned model, the prompt and the organizational data to generate a report configuration file.

Abstract: Systems and methods for automatically displaying patterns in biological data may include one or more processors, and machine readable instructions. The machine readable instructions can cause the one or more processors to divide biological data into segments of interest. The one or more processers can transform, automatically, each of the segments of interest into a set of features according to a mathematical algorithm. Further, the one or more processers can cluster, automatically, the segments of interest into groups of clustered segments according to a clustering algorithm. The segments of interest can be grouped in the groups of clustered segments based at least in part upon the set of features. A cluster center can be associated with one of the groups of clustered segments. Moreover, the one or more processers can present, automatically, the cluster center on a human machine interface.