Abstract: Described herein is a graphics processor having processing resources with configurable thread and register configurations. Program code can configure a number of registers and accumulators that will be used by hardware threads during execution of the program code by the graphics processor. Processing resources within the graphics processor can be configured to assign different numbers of registers and accumulators to hardware threads based on the configuration requested by program code to be executed by the processing resource.

Abstract: A system for generating an expandable pool of virtual agents to provide solutions in a virtual environment comprises a call center server in communication with a metaverse server. The call center server generates the virtual agents with corresponding skills of each real-world agent using a machine learning model based on historical observation operations performed by each particular real-world agent and a historical rule set to address the service issue. The metaverse server identifies the virtual agents in the virtual environment. The call center server routes a service inquiry with a service issue from a user equipment of a user to the metaverse server. The metaverse server identifies a first virtual agent with a first skill and conducts a first interaction between the first virtual agent and a user avatar to generate the customized solution to address the service issue.

Abstract: A VCSEL array includes adjacent first and second VCSEL elements and a trench surrounding the VCSEL arrays. The first and second VCSEL elements include a first output window and a second output window. The first VCSEL element includes a part of a metal layer shared by the first and second VCSEL elements. The distance between the inner edge of the trench and the center of the first output window is larger than half the distance between centers of the first and second output windows.

Abstract: A system for generating an expandable pool of virtual agents to provide solutions in a virtual environment comprises a call center server in communication with a metaverse server. The call center server generates the virtual agents with corresponding skills of each real-world agent using a machine learning model based on historical observation operations performed by each particular real-world agent and a historical rule set to address the service issue. The metaverse server identifies the virtual agents in the virtual environment. The call center server routes a service inquiry with a service issue from a user equipment of a user to the metaverse server when determining that a particular real-world agent is not available. The metaverse server identifies a first virtual agent with a first skill and conducts a first interaction between the first virtual agent and a user avatar to generate the customized solution to address the service issue.

Abstract: A structure includes a level shifter, first and second variable voltage generators, and a programmable voltage generator. The level shifter includes low and high supply voltage nodes and two parallel branches, including multiple transistors, connected between the nodes. The programmable voltage generator generates and applies a high supply voltage (VH) to the high supply voltage node. VH is programmable to one of multiple possible VH levels. Based on the voltage level of VH, the first variable voltage generator generates and applies a low supply voltage (VL) to the low supply voltage node and the second variable voltage generator generates and applies a gate bias voltage (VGB) to gates of some transistors. By tracking VH and adjusting VL and VGB based on thereon, the voltage level shifter operates within the SOA at high VHs, remains operable at low VHs, and maintains operating speed at mid-level VHs.

Abstract: Aspects of the disclosure relate to an intelligent resource evaluation engine. A computing platform may monitor the plurality of RPA machines to detect parameter information. The computing platform may store the parameter information along with corresponding RPA machines as a key value pairs in a database. The computing platform may identify first current parameter information for a first RPA machine using the key value pairs. The computing platform may input the first current parameter information into an intelligent resource evaluation model, which may output first machine selection information for the first RPA machine. Based on identifying that the first RPA machine is sufficient to execute the first robotic automation process, the computing platform may send direct the first RPA machine to execute the first robotic automation process.

Abstract: Methods and Wi-Fi devices that utilize the target wait time (TWT) feature of the Wi-Fi specification are disclosed. These 5 methods reduce power consumption by selectively listening to only a portion of the beacons that are transmitted by the access point. In one scenario, the Wi-Fi device only listens to one beacon per TWT wake interval. In another embodiment, the Wi-Fi device may have knowledge of the application that is being executed, such as its allowable latency. The Wi-Fi device may use this allowable latency to determine which when to exit low power mode to receive a beacon. Further, mechanisms to ensure that the connection between the Wi-Fi device and the access point are also disclosed.

Abstract: Systems, computer program products, and methods are described herein for intelligent workflow management in robotic process automation (RPA). The present disclosure comprises a workflow replication subsystem configured to replicate a sequence of actions executed by an RPA bot in an application server; a fog computing subsystem operatively coupled to the workflow replication subsystem, wherein the fog computing subsystem is configured to extract metadata associated with execution of the sequence of actions; and an anomaly resolution subsystem operatively coupled to the fog computing subsystem and the workflow replication subsystem, wherein the anomaly resolution subsystem is configured to troubleshoot instances of interruptions in the execution of the sequence of actions, wherein the instances of interruptions comprise at least potential failures in at least one action yet to be executed by the RPA bot.

Abstract: Systems, computer program products, and methods are described herein for securing and emulating computing system configurations.

Abstract: A system for addressing a software code update failure receives a request message to update a current version of a software code to a new version of the software code. The system executes an update instruction to cause at least a portion of the software code to be updated. The system records a log file that comprises information about an execution of the new version of the software code and captures a video recording that shows a screen on a computing device on which the new version of the software code is executed. The system detects an error message and in response to the error message, rolls back the new version of the software code to the current version, communicates an alert message, receives an updated configuration file, and re-executes the update instruction configured with the updated configuration file.

Abstract: A system for updating a software code executes a current version of the software code on a web application. The system receives a request message to update the current version of the software code to a new version of the software code. The system determines whether the software code is still being executed on the web application. In response to determining that the software code is still being executed on the web application, the system identifies a subset of portions of the software code that have not yet been executed, executes an update instruction to cause the subset of portions of the software code to be updated, and moves the updated subset of portions of the software code from a first memory block to a second memory block.

Abstract: A system for classifying software code determines a first function, a first set of operations, and a first criticality level of a first software code. The system determines a second function, a second set of operations, and a second criticality level of the second software code. The system determines that the first function of the first software code corresponds to the second function of the second software code. The system compares the operations of the first software code with the operations of the second software code and determines that the first and second software code have at least one operation in common with each other. The system determines that the first criticality level of the first software code corresponds to the second criticality level of the second software code. In response, the system classifies the first software code and the second software code in a first group.

Abstract: Methods, computing systems, and technology for optimizing a landing page of a website are presented. The system can receive, from a user device, a first web address associated with a first webpage of the website. The system can process, using the machine-learned assessment model, the first webpage to generate a first landing page score. The system can determine, based on the first landing page score and using a machine-learned optimization model, an actionable suggestion associated with the landing page. The system can cause, on a display of the user device, a presentation of the actionable suggestion.

Abstract: A system includes a VCSEL element, a dielectric waveguide, and a dielectric grating coupler. The VCSEL element includes a first reflector region, a second reflector region opposite to the first reflector region, and an active region between the first reflector region and second reflector region. The dielectric waveguide is integrated with the VCSEL element. The grating coupler is formed on the dielectric waveguide for coupling an electromagnetic wave of the VCSEL element into the dielectric waveguide.

Abstract: A low-divergence multi-junction VCSEL (100,200) includes a first reflector region (103,203) over a substrate (104,204), a second reflector region (102,202) over the first reflector region (103,203), active regions (101,105,106,107,201,205,206,207) between the first reflector region (103,203) and the second reflector region (102,202), an oxide aperture (115,215) and an implantation region (108,109,208,209) between the first reflector region (103,203) and the second reflector region (102,202), and a surface relief structure (112,117,212,217).

Abstract: Embodiments of the disclosure provide memory circuit, a sense amplifier and associated method for reading a resistive state in a memory device. The sense amplifier includes a bit cell configurable to a high or low resistance state; a sensing circuit that detects a voltage drop across the bit cell in response to an applied read current during a read operation and generates a high or low logic output at an output node; and a pulse generation circuit that increases the applied read current with an injected current pulse when a low to high transition of the resistive state of the bit cell is detected.

Abstract: Systems, computer program products, and methods are described herein for early detection of operational failure in component-level functions within a computing environment.

Abstract: Techniques are provided for facilitating network devices to obtain configuration updates from a central configuration repository. Configuration update information is received regarding a configuration update in a configuration repository. A data tree is updated based on the configuration update information. An identifier unique to the update is generated. A determination is performed that network device properties of a network device correspond to a set of network device properties indicated for the configuration update information. A notification indicating the availability of the configuration update is sent over one or more networks to the network device.

Abstract: A smart change evaluation engine analyzes an existing and updated Robotic Process Automation (RPA) system and process flow and evaluates identified changes in the process, components, elements, and controls. The smart change evaluation engine outputs an appropriate change estimate value corresponding to an amount of change and/or effort to modify the RPA process flow. The smart change evaluation engine analyzes the recorded changes and assigns a rule-based value for every corresponding component in the process flow. A scoring algorithm is used to generate a change estimate value based on the analysis of the pre-change recordings, the post-change recordings, and from the data values captured from the actual robotic automated system, by doing dual checks resulting in best calculated estimates. The scoring value derived is used as an input for evaluating changes for (RPA) that may be required to support further development of services and/or applications provided by an enterprise organization.

Abstract: A structure includes a level shifter, first and second variable voltage generators, and a programmable voltage generator. The level shifter includes low and high supply voltage nodes and two parallel branches, including multiple transistors, connected between the nodes. The programmable voltage generator generates and applies a high supply voltage (VH) to the high supply voltage node. VH is programmable to one of multiple possible VH levels. Based on the voltage level of VH, the first variable voltage generator generates and applies a low supply voltage (VL) to the low supply voltage node and the second variable voltage generator generates and applies a gate bias voltage (VGB) to gates of some transistors. By tracking VH and adjusting VL and VGB based on thereon, the voltage level shifter operates within the SOA at high VHs, remains operable at low VHs, and maintains operating speed at mid-level VHs.