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.

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed. A first example apparatus disclosed herein is an autonomous mobile radio access network (RAN) node that includes communication circuitry, instructions, and programmable circuitry to cause the communication circuitry to transmit a workload to a server via a network, initiate local processing of the workload after a loss of connectivity with the server, and move the autonomous mobile RAN node from a first location to a second location. A second example apparatus disclosed herein is an autonomous mobile RAN node that includes communication circuitry, instructions, and programmable circuitry to cause communication of a workload from a client device to a server to process the workload, identify a second location relative to a first location of the compute device based on network performance, and cause the autonomous mobile RAN node to move from the first location to the second location.

Abstract: The present invention relates generally to genetically modified non-human animals and immunodeficient non-human animals characterized by restored complement-dependent cytotoxicity, as well as methods and compositions for assessment of therapeutic antibodies in the genetically modified immunodeficient non-human animals. In specific aspects, the present invention relates to immunodeficient non-obese diabetic (NOD), A/J, A/He, AKR, DBA/2, NZB/B1N, B10.D2/oSn and other mouse strains genetically modified to restore complement-dependent cytotoxicity which is lacking in the unmodified immunodeficient mice. In further specific aspects, the present invention relates to NOD.Cg-Prkdcscid IL2retmlWjl/SzJ (NSG), NOD.Cg-Rag1tm1Mom Il2rgtmlWjl/SzJ (NRG) and NOD.Cg-Prkdcscid Il2rgtm1Sug/JicTac (NOG) mice genetically modified to restore complement-dependent cytotoxicity which is lacking in unmodified NSG, NRG and NOG mice.

Abstract: Dynamic resource reconfiguration based on workload semantics and behavior. A controller may receive, from a core network, a request for an end-to-end managed connection, the end-to-end managed connection for an application executing on a server and an application executing on a client device, where the client device is coupled to the controller via a radio access network (RAN). The controller may determine a policy for the end-to-end managed connection. The controller may apply one or more parameters of the policy to the end-to-end managed connection.

Abstract: Transportable storage devices are communicatively coupled behind one or more dedicated “edge” data servers to take advantage of the benefits of the data servers and transportable storage devices while limiting their disadvantages. Each edge data server ingests data from one or more client devices and copies the data to one or more of the transportable storage devices for eventual transport to a cloud data center for upload to a cloud storage system. Multiple versions of a segment of data (e.g., of a file or a blob) are maintained at various points in the disclosed system and the disclosed technology ensures that the most recent version is the version ultimately stored on the cloud storage system.

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: Examples described herein relate to executing a first boot firmware code to receive an allocation of hardware devices and allocating, by the first boot firmware code, resource allocations to one or more secondary boot firmware codes. In some examples, the one or more secondary boot firmware codes allocate use of hardware devices to one or more operating systems (OSs).

Abstract: A method of commissioning a lighting device in a lighting system comprises receiving (121) a first message from a mobile device (41) on the lighting device (11,13). The first message indicates that the mobile device intends to scan, using the first wireless communication technology, for any lighting device which can be commissioned using the first wireless communication technology. The method further comprises determining (123) whether the lighting device can be commissioned using the first wireless communication technology and controlling (125) a light source to render a light effect upon receipt of the message in dependence on the determination whether the lighting device can be commissioned via the first wireless communication technology. The method also comprises receiving (127) a second message from the mobile device and responding by transmitting (129) a third message confirming that the mobile device can control the lighting device, using the first wireless communication technology.

Abstract: A method comprises collecting parameters corresponding to processing by a first application programming interface of at least one application programming interface transaction, analyzing the parameters using one or more machine learning algorithms, and predicting, based at least in part on the analyzing, whether the at least one application programming interface transaction is anomalous. In the method, the first application programming interface is designated as being in an anomalous state responsive to predicting that the at least one application programming interface transaction is anomalous. One or more application programming interface requests for the first application programming interface are routed to a second application programming interface responsive to the anomalous state designation.

Abstract: Methods and systems are provided for geocoding. An example method encompasses receiving, from a delivery data corpus, a delivery data comprising one or more addresses. The method thereafter comprises identifying, one or more tokens from said one or more addresses. Further the method leads to calculating, for each of said one or more tokens, an end token score and a sub-sequence token score. The method thereafter encompasses chunking, said one or more addresses based on said end token score and said sub-sequence token score to generate one or more address chunks. Further the method comprises generating, one or more polygon regions for each generated address chunks based on said chunking. Thereafter the method comprises merging, one or more generated polygon regions for each of the generated address chunks.

Abstract: Systems and methods for remote command access in a hybrid cloud to on-premises devices are described. An example method includes receiving, by a gateway service, a request for a connection between a remote support service agent and an on-premises device. The method further includes receiving, by the gateway service, consent from an authorized user associated with the on-premises device. The method further includes creating, by the gateway service, a first session with the on-premises device, where a scope of the consent is limited to the first session. The method further includes provisioning, by the gateway service, a device-specific hybrid connection endpoint for the first session. The method further includes forming, by the gateway service a secure session by binding the device-specific hybrid connection endpoint with a second session, the secure session allowing for transport of data and a set of commands based on a scope of the consent.

Abstract: A system and method for facilitating communication between a control server and robotic devices are provided. An integration engine of the system identifies protocol schemes and message schemes that are supported by the control server and robotic devices. When the protocol schemes and message schemes of the control server and the robotic devices are same, the integration engine facilitates transmission and reception of instructions between the control server and the robotic devices through identified communication interfaces. When the protocol schemes and message schemes of the control server and the robotic devices are different, the integration engine translates the protocol schemes and message schemes that are received from one of the control server and the robotic devices to facilitate communication between the control server and the robotic devices through identified communication interfaces.

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

Abstract: A workflow manager can be configured to present a graphical interface to an entity and display a current status of a workflow via the graphical interface. Via the graphical interface, the entity can provide one or more indications that indicate an entry condition for the workflow, one or more message communications, and one or more filter conditions. The entity can activate the workflow and cause the workflow manager to identify a user population that satisfies the entry condition and cause the user population to be presented with the one or more message communications and the one or more filter conditions of the workflow. Different user segments of the user population may be assigned to different user paths, where each user segment receives different communications based on their corresponding user paths.

Abstract: Virtual account use in an online marketplace is described. Listings published to a multitude of client devices by the online marketplace include a first listing for a first item and a second listing for a second item. The first item is listed by a first user account and the second item is listed by a second user account. In connection with a third user account purchasing the first item, the online marketplace provides a first monetary compensation to the first user account from the third user account by updating a balance of a virtual account of the first user account to include the first monetary compensation. In connection with the first user account purchasing the second item via the second listing, the online marketplace provides at least a portion of the balance to the second user account directly from the virtual account as second monetary compensation.

Abstract: Techniques for determining anomalous user behavior in connection with an online application are disclosed. In one embodiment, a method is disclosed comprising obtaining user behavior data in connection with a user of an application, generating feature data using the obtained user behavior data, obtaining one or more user behavior anomaly predictions from one or more anomaly prediction models trained to output a user behavior anomaly prediction in response to the feature data. Each user behavior anomaly prediction indicates a probability that the user behavior is anomalous. A user behavior anomaly determination is made using the user behavior anomaly prediction(s).

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.