Abstract: Disclosed herein are system, method, and computer program product embodiments for synchronizing data in a source system to an application without relying on middleware. An embodiment operates by performing an initial load of records for an object for an application from a source system, thereby retrieving a first set of records. The embodiment first maps the first set of records to the object using a transform template. The embodiment creates the object in the application using the first set of records based on the first mapping. The embodiment performs a delta load of records for the object from the source system, thereby retrieving a second set of records. The embodiment second maps the second set of records to the object using the transform template. The embodiment then updates the object using the second set of records based on the second mapping.

Abstract: Data that is to be processed by a particular service executed by a first edge computing device in an application, is analyzed to determine characteristics of the data. An opportunity to replicate the particular service on a plurality of edge computing devices is determined based on characteristics of the data. A second edge computing device is determined to be available to execute a replicated instance of the particular service. Replication of the particular service is initiated on a plurality of edge computing devices including the second edge computing device. An output of an instance of the particular service executed on the first edge computing device and an output of the replicated instance of the particular service executed on the second edge computing device are combined to form a single output for the particular service.

Abstract: A server platform in a cloud computing system is determined to be in an unused state and a request from a remote computing system outside the data center system is received to control hardware of at least one of the server platforms of the cloud computing systems. A bare-metal-as-is (BMAI) session is initiated for the remote computing system to use the server platform based on the unused state, wherein exclusive control of at least a portion of hardware of the server platform is temporarily handed over to the remote computing system in the BMAI session. Control of the portion of the hardware of the server platform is reclaimed based on an end of the BMAI session.

Abstract: Motion parameters estimation for localization of differential drive vehicles is an important part of robotics and autonomous navigation. Conventional methods require introceptive as well extroceptive sensors for localization. The present disclosure provides a control command based adaptive system and method for estimating motion parameters of differential drive vehicles. The method utilizes information from one or more time synchronized command signals and generate an experimental model for estimating one or more motion parameters of the differential drive vehicle by computing a mapping function. The experimental model is validated to determine change in the one or more motion parameters with change in one or more factors and adaptively updated to estimate updated value of the one or more motion parameters based on the validation. The system and method of present disclosure provide accurate results for localization with minimum use of extroceptive sensors.

Abstract: A method performed by one or more processing resources of one or more computer systems is disclosed. The method comprises receiving an object at a first of a plurality of nodes from a second of the plurality of storage nodes within a cluster switch fabric, examining a value associated included within the received object, wherein the value is associated with a clock value of the second node and updating a clock operating at the first node with the received value.

Abstract: A method performed by one or more processing resources of one or more computer systems is disclosed. The method comprises receiving an object at a first of a plurality of nodes from a second of the plurality of storage nodes within a cluster switch fabric, examining a value associated included within the received object, wherein the value is associated with a clock value of the second node and updating a clock operating at the first node with the received value.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a discontinuous reception (DRX) configuration to be used by the UE for cellular communication with the base station, wherein the DRX configuration indicates a DRX cycle that includes an active time during which the UE is to monitor a physical downlink control channel (PDCCH) and an inactive time during which the UE is to refrain from monitoring the PDCCH; identify a time window for sidelink communication with another UE based at least in part on the DRX configuration; and communicate using one or more sidelink resources in the identified time window. Numerous other aspects are provided.

Abstract: An apparatus is described. The apparatus includes a memory module. The memory module includes a memory. The memory module includes function execution circuitry. The function execution circuitry is configurable to execute a producer function and a consumer function of a multi-function process. The memory module includes an interface to be coupled to a memory controller.

Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: A system and method for transferring items in a storage facility are provided. The storage facility includes a storage system that includes bins, a control server, and a sensing system. A pick-put operation on an inventory item is performed by picking the inventory item from a robotic apparatus by an operator and storing the inventory item in a corresponding bin of the storage system. The control server receives sensor signals when the sensing system automatically senses a pick-up of the inventory item from the robotic apparatus and placement of the inventory item in the corresponding bin of the storage system. The reception of the sensor signals by the control server indicates execution of the pick-put operation. Thus, a need for the operator to manually scan the inventory item during the pick-up or press any buttons on the storage system to indicate completion of the pick-put operation is eliminated.

Abstract: A bio-sensing device having a photoelectric element is disclosed. The bio-sensing device includes an infrared pulse generator configured to irradiate infrared pulsed light to a target; the photoelectric element configured to receive the infrared pulsed light which has transmitted through the target, and to generate photocurrent based on the received light; and a sensing element configured to measure a magnitude of either a first peak current of the photocurrent corresponding to a leading edge of the infrared pulsed light or a second peak current of the photocurrent corresponding to a trailing edge of the infrared pulsed light, and to analyze the target based on the measurement result.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving information regarding a new sales opportunity from another computing device and determining one or more relevant features from the information regarding the new sales opportunity, the one or more relevant features influencing predictions of an opportunity outcome and an opportunity duration. The method also includes, by the computing device, generating, using a multi-target machine learning (ML) model, a first prediction of an opportunity outcome of the new sales opportunity and a second prediction of an opportunity duration of the new sales opportunity based on the determined one or more relevant features. The method may also include, by the computing device, sending the first and second predictions to the another computing device.

Abstract: Methods, systems, and platforms for managing machine learning models are described. A model registry system receives first data including a model and second data including metadata and at least one metric of the model. Via a local network, the first data is stored to a data storage device and the second data is sent to an application programming interface (API). The first data is retrieved from the data storage device to a model use case program operating in a software development environment native to where the model registry system stores the model. The second data, including the metadata and the at least one metric of the model, is sent to a user interface (UI) via the API. The stored model can be deployed from the model use case program via the API.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving a new application programming interface (API) specification and extracting one or more keywords from the new API specification. The method also includes identifying, using a trained machine learning (ML) model, one or more existing API specifications that are similar to the new API specification based on the one or more keywords from the new API specification and, responsive to the identification, outputting information regarding the one or more existing API specifications that are similar to the new API specification.

Abstract: The present disclosure provides method and system, which use multiple of excitonic BEC(s) and/or excitonic matter-wave(s) and/or excitonic superfluid(s) as a platform to generate multiple (from a few to even millions or more) long-lived Qubits in any conceivable multi-dimensional hybrid nano structure(s), mostly using semiconductor material(s) and/or device structure(s) at any temperature in between 0-500K, and that can sustain any quantum coherence for a much longer time scales of microseconds or milliseconds or even more, but not limited to these time scales for any conceivable faster device operation(s) as well. The macroscopic quantum states of the generated Qubits are easily controllable with applied voltage(s) (dc and/or ac) and/or electrical power, and/or light beam(s), and are easily integrated with semiconductor fabrication techniques for quicker and wider adaptation of Quantum technologies.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving information regarding a new lead from another computing device and determining one or more relevant features from the information regarding the new lead, the one or more relevant features influencing prediction of a lead conversion. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a likelihood of the new lead converting to a sales opportunity based on the determined one or more relevant features based on the determined one or more relevant features and sending the prediction to the another computing device.

Abstract: A cross-domain distributed network function may be constructed by instantiating a local-domain endpoint for a first application component. Here, the local-domain endpoint is in a first network domain that includes the first application component. A connection to an extra-domain endpoint may then be made. Here, the extra domain endpoint is in a second network domain that does not include the first network domain, and the second network domain includes a second application component for the application. The local-domain endpoint may then provide a network service for a third network domain that includes the application. The first application component may then use that network service to connect to the second application component.

Abstract: A method is described. The method includes receiving a request. The method includes allocating and/or configuring hardware to execute the request in accordance with an energy related input specified by a sender of the request. The method includes causing execution of the request in accordance with the energy related input.

Abstract: The techniques described herein implement a proxy service associated with a public cloud platform. A proxy server receives a connection request sent via an account. The connection request includes a connection parameter such as a specific time the request is initiated, a specific location of a device used to initiate the request, or an identification of the device used to initiate the request. The proxy server maps the account to a policy. The proxy server then determines whether the connection parameter included in the request is anomalous to a corresponding parameter defined in the policy. In an event the connection parameter is an anomalous parameter, the proxy server takes actions to determine whether the policy can be dynamically updated to accommodate the anomalous parameter. If an accommodation can be made, a user or device does not have to wait an extended period of time to gain access to the resource.

Abstract: Fibers, yarns, woven fabric including the yarns and fibers, and methods of manufacturing the same are disclosed. Fibers can include base material staple fibers and dissolvable or water-soluble fibers that are mixed together to define an ultra-homogenous yarn comprising base material and dissolvable material, which is provided in at least the warp direction to form a woven fabric having a 7-end, 8-end or 10-end sateen weave. A processing step provides for the removal of the dissolvable fibers to produce a yarn defining a plurality of pores that are uniformly distributed throughout the structure of the yarn. The woven fabric has a thread count between 450-1200. The woven fabric is thermally-insulative, breathable and moisture-wicking.