Abstract: Systems and methods for thermally aware task scheduling and balancing are disclosed. One method includes receiving, from each of a plurality of temperature sensors, a temperature indication of a temperature of a corresponding processor cluster to obtain an indication of thermal conditions of a plurality of processor clusters and scheduling tasks to the plurality of processor clusters based upon the thermal conditions of the plurality of processor clusters. The frequency of each processor cluster is then scaled based upon the scheduled task load.

Abstract: Multi-component modules (MCMs), including configurable electromagnetic interference (EMI) shield structures and related methods, are disclosed. An EMI shield enclosing an IC or another electrical component in an MCM can protect other components within the MCM from EMI generated by the enclosed component. The EMI shield also protects the enclosed component from the EMI generated by other electrical components. An EMI shield with sidewall structures, in which vertical conductors supported by a wall medium electrically couple a lid of the EMI shield to a ground layer in a substrate, provides configurable EMI protection in an MCM. The EMI shield may also be employed to increase heat dissipation. The sidewall structures of the EMI shield are disposed on one or more sides of an electrical component and are configurable to provide a desired level of EMI isolation.

Abstract: Existing approaches for building digital twins specific to industrial plants require industry domain experts, process modeling engineers, data scientists, and solution developers to spend considerable time and effort to build the right solution. This is not an easily reproducible process. For each type of industry and for each specific plant, the design, and development process must start all over, more or less from scratch and the effort needs to be reinvested. Hence this is not a scalable proposition. Method and system disclosed herein provide a knowledge-based plant monitoring and optimization approach. In this approach, for a given high-level problem statement, a detailed problem definition is derived, a plant view of interest is identified using the knowledge based approach, and in turn plant data of interest is identified. Further, a digital twin is generated using the plant data of interest, which is then used for the plant monitoring and optimization.

Abstract: Techniques are described for providing emulation software used to emulate voice assistant-enabled devices, and further for a platform used to perform and monitor large scale load tests against fleets of voice assistant-enabled device emulators. The emulation software broadly provides a collection of software libraries for creating emulated instances of a wide range of voice assistant-enabled device types capable of interacting with voice assistant services provided by a cloud provider network. The emulation software further includes software interfaces and observable data streams that enable developers to configure and extend emulated device capabilities, to obtain debugging and performance information, and the like. The described load testing platform further enables developers to test the performance of voice assistant-related technologies (including e.g., device features, voice assistant apps, third-party services, etc.) at scale.

Abstract: Systems and methods related to run-time selection of a render mode in which to execute command buffers with a graphics processing unit (GPU) of a device based on performance data corresponding to the device are provided. A user mode driver (UMD) or kernel mode driver (KMD) executed at a central processing unit (CPU) selects abinning mode based on whether performance data that includes sensor data or performance counter data indicates that an associated binning condition or override condition has been met. The UMD or the KMD causes pending command buffers to be patched to execute in the selected binning mode based on whether the binning mode is enabled or disabled.

Abstract: The three-dimensional printer head for printing metal articles, the printer comprises a nozzle that is cylindrical and manufactured from a heat-resistant material with low electric conductivity, an embedded channel within the nozzle and running along a longitudinal length of the nozzle; a receiving space at a first end of the embedded channel in which a solid metal material is received; an extrusion space at a second end of the embedded channel from which a continuous bead of liquid or semisolid metal material is extruded, a feeder mechanism that continuously drives the solid metal material into the embedded channel through the receiving space, an induction coil surrounding an outer surface of the nozzle and extending over a substantial portion of the longitudinal length of the nozzle.

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: Perturbed data generation for explainable Artificial Intelligence (AI) is still an evolving field and attempts are made towards to addressing the technical challenge of correlation of features that degrades generated explanations for block box models in Machine Learning (ML) or AI domain. A method and system for local explanation of black box model based on constrained perturbation and ensemble-based surrogate model is disclosed. The method disclosed averts data correlation problem by performing data perturbation around the local instance in accordance with distribution of test data set and primarily ensures the values of input features associated with the local instance stay within the feature space and does not form out of distribution scenarios (add adversary cheating). The method autogenerates labels for the perturbed data to fit or train an ensemble based surrogate model that eliminates data bias and improves accuracy of generated explanations.

Abstract: A porous material structure and device are described and shown to enhance the mass transfer and/or heat transfer at low pressure drops for removal of certain molecular species from a fluid by adsorption and/or catalytic reaction. The porous structure of active materials comprising packed fine particles of adsorbents or catalysts is encapsulated with a thin membrane to provide large interfacing area with the fluid per unit volume for rapid mass transfer between the porous structure and fluid. The thin membrane also blocks particulate from getting into the porous structure of the active material. For the process involving significant heat of adsorption and/or reaction, the another surface of the porous structure of the active material is encapsulated with a thin non-permeable sheet to interface with a thermal fluid for rapid heat transfer between the porous structure and the thermal fluid.

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: A method and system for hypernetwork guided domain decomposition in Physics-Informed Neural Operators (PINOs). The method includes identifying a presence of at least one discontinuity in data associated with a target domain to be analyzed by a PINO. Identification of the presence is at least of a successful identification or an unsuccessful identification. The method further includes generating a plurality of sub-domains for the target domain. The plurality of sub-domains is generated uniformly upon the unsuccessful identification, and the plurality of sub-domains is generated based on a predefined discontinuity criteria upon the successful identification. The method further includes generating intra-subdomain points with respect to each of the plurality of sub-domains. The method further includes extracting a plurality of sub-domain identifiers, upon generating the intra-subdomain points, using a pre-defined feature extraction technique.

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 includes providing a Fibonacci confidence interval level on user program viewership data to distinguish user interest level in different linear entertainment programs. The method also includes creating a behavior shift feature space for acquiring information about user behavior over time based on a behavior sequence, a first derivative on the behavior sequence, and a second derivative on the behavior sequence. The method further includes utilizing, based on a trained machine learning model, a transformer structure and attention to map user data from the behavior shift feature space into a prediction of the Fibonacci confidence interval level.

Abstract: A chatbot system for filtering conversation content. A chatbot system receives, from a client system, a prompt of a user during an interactive session. The chatbot system filters the prompt of the user based on a set of platform policies and generates a response based on the filtering of the prompt of the user, and communicates the response to the client system.

Abstract: A method for performing a channel state information (CSI) prediction by a user equipment (UE) is provided. The method includes receiving a plurality of reference signals from a base station, obtaining a channel quality information (CQI) estimation for an interval based on the received plurality of reference signals, wherein obtaining the CQI estimation includes obtaining at least one of mean mutual information per bit (MMIB) or effective exponential signal to noise ratio mapping (EESM), predicting the CSI based on the CQI estimation, and reporting the predicted CSI to the base station.

Abstract: A processing device and a method of tiled rendering of an image for display is provided. The processing device includes memory and a processor. The processor is configured to receive the image comprising one or more three dimensional (3D) objects, divide the image into tiles, execute coarse level tiling for the tiles of the image and execute fine level tiling for the tiles of the image. The processing device also includes same fixed function hardware used to execute the coarse level tiling and the fine level tiling. The processor is also configured to determine visibility information for a first one of the tiles. The visibility information is divided into draw call visibility information and triangle visibility information for each remaining tile of the image.

Abstract: Systems and methods for distributed rendering using two-level binning include processing primitives of a frame to be rendered at a first graphics processing unit (GPU) chiplet in a set of GPU chiplets to generate visibility information of primitives for each coarse bin and providing the visibility information to the other GPU chiplets in the set of GPU chiplets. Each coarse bin is then assigned to one of the GPU chiplets of the set of GPU chiplets and rendered at the assigned GPU chiplet based on the corresponding visibility information.

Abstract: A computer-based system and process are disclosed for reconstructing the internal electrical behavior of a patient's heart based partly or wholly on the patient's electrocardiogram (ECG). The output of the process may include, for example, a cardiac activation map, and/or a representation of transmembrane potentials over time. The process advantageously does not require any medical imaging of the patient, and does not require any special medical equipment. For example, the patient's activation map and transmembrane potentials may be reconstructed based solely on a preexisting or newly-obtained 12-lead cardiac ECG of the patient. The process makes use of a machine learning model, such as a neural network based model, trained with actual and/or simulated ECGs and intracardiac electrical data (typically transmembrane potentials) of many thousands of patients.

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: This disclosure relates generally to a method and system for real time monitoring and forecasting of fouling of an air preheater (APH) in a thermal power plant. The system is deploying a digital replica or digital twin that works in tandem with the real APH of the thermal power plant. The system receives real-time data from one or more sources and provides real-time soft sensing of intrinsic parameters as well as that of health, fouling related parameters of APH. The system is also configured to diagnose the current class of fouling regime and the reasons behind a specific class of fouling regime of the APH. The system is also configured to be used as advisory system that alerts and recommends corrective actions in terms of either APH parameters or parameters controlled through other equipment such as selective catalytic reduction or boiler or changes in operation or design.