Abstract: An example medical device includes a device housing configured to be implantable within a patient, the device housing including an internal surface in contact with a voltaic cell of the battery, and a battery external to the device housing and comprising a battery housing configured to be hermetically sealed. The battery is configured to provide electrical power to an electrical component housed within the device housing, and the battery housing is configured to be attached to the device housing. The battery housing includes an internal surface in contact with a voltaic cell of the battery, and an external surface in contact with the biocompatible electrical insulator. an external surface in contact with the biocompatible electrical insulator.

Abstract: Coordinating signal processing among computing devices in a voice-driven computing environment is provided. A first and second digital assistant can detect an input audio signal, perform a signal quality check, and provide indications that the first and second digital assistants are operational to process the input audio signal. A system can select the first digital assistant for further processing. The system can receive, from the first digital assistant, data packets including a command. The system can generate, for a network connected device selected from a plurality of network connected devices, an action data structure based on the data packets, and transmit the action data structure to the selected network connected device.

Abstract: Methods and systems are described herein for identifying performance degradation in machine learning models based on comparisons of actual and predicted results. The system may receive predicted and actual results datasets for features within a system with the predicted results being generated by a machine learning model corresponding to the feature. The system may access a hierarchy associated with the features and select a level of the hierarchy having a subset of features. The subset of features may be associated with a target feature. Impact values may then be generated for the subset, where the impact values indicate contributions of the corresponding features to a difference, in the target feature, between predicted and actual results. The system may select a new target feature, from the subset, associated with a highest impact value and may retrain a machine learning model associated with the new target feature.

Abstract: Register banks are used to allow for fast beam switching in a phased array system. Each beam forming channel is associated with a register bank containing M register sets for configuring such things as gain/amplitude and phase parameters of the beam forming channel. The register banks for all beam forming channels can be pre-programmed and then fast beam switching circuitry allows all beam forming channels across the array to be switched to use the same register set from its corresponding register bank at substantially the same time, thereby allowing the phased array system to be quickly switched between various beam patterns and orientations. Active power control circuitry may be used to control the amount of electrical power provided to or consumed by one or more individual beam forming channels such as to reduce DC power consumption of the array and/or to selectively change the effective directivity of the array.

Abstract: An information processing apparatus includes: a factual attribute determining unit that determines a factual attribute that can be confirmed to be a fact with respect to a user based on user-provided data having been provided by the user oneself or history data of the user; an inferred attribute determining unit which determines an inferred attribute having been inferred with respect to the user based on user-related data including at least the factual attribute related to the user; and a credit score inferring unit that infers a credit score to be set to the user based on an attribute data group including the factual attribute and the inferred attribute related to the user.

Abstract: A processor-implemented method and a system for artifact order and rank synchronization is provided. The method includes determining, using a ranking module, if a rank of an artifact has changed across disparate tools in an organization eco-system of a source comprising an end system from where integration reads the data for synchronization, by determining if hierarchy processing is required or not. The method also includes updating, using a rank update module, the rank of the artifact in a target comprising an end system where integration writes data.

Abstract: Some embodiments include utilizing a multilink media access control (MAC) address structure to support multilink devices (MLDs) that can operate concurrently in more than one link such as extremely high throughput (EHT) access points (APs) and EHT stations (STA), where the multilink MAC address structure is compatible with legacy devices. An EHT AP can utilize a multilink basic service set (BSS) identification (BSSID) MAC address to communicate with an EHT STA identified by a multilink MAC address. Values of the multilink BSSID and the multilink MAC address of the EHT STA are independent of which of the multiple links are used in the communication. In addition, to utilizing a multilink BSSID, the EHT AP can also support unique link-specific MAC addresses to concurrently support legacy and MLD stations. The EHT STA can also utilize unique link-specific MAC addresses that can be different than the EHT AP's link-specific MAC addresses.

Abstract: A cooling system can include a two-stage compressor, a variable speed fan and a controller for continuously modulating cooling capacity of the system. The compressor can run in a loaded state and the fan can run at a first speed when a call for cooling calls for maximum system cooling capacity. The compressor can run in the loaded state and the fan speed can decrease to a second fan speed as the called for cooling capacity decreases. The compressor can run in an unloaded state and the fan speed can be increased. The compressor can run in the unloaded state and the fan speed can decrease to a third fan speed as the called for cooling capacity decreases.

Abstract: In implementations of repeat object blending, a computing device implements a repeat object blending system, which is implemented to receive a digital image depicting a first object and a second object, where the first object is depicted as multiple instances of a repeated base object, and the second object is depicted as multiple instances of a visually different repeated base object. The repeat object blending system can identify visual characteristics of the first object and the second object. The repeat object blending system can then generate an intermediate object by blending one or more of the visual characteristics of the first object and one or more of the visual characteristics of the second object. The resulting intermediate object is a visual representation of the repeated base object blended with the visually different repeated base object.

Abstract: Generally described, the presently disclosed technology utilizes managed Wi-Fi networks pre-installed throughout an MDU property to provide user-specific passphrases that can be used to access the single-SSID wireless network at the property and to provide a cloud portal that can enable convenient access to the functionalities (both by the resident and the manager) provided by the Wi-Fi controller and the Wi-Fi access points. By doing so, the Wi-Fi network management solutions described herein allow the users to experience the benefits of a shared Wi-Fi infrastructure, such as not having to set up and maintain their own Wi-Fi routers, while also allowing them to easily change their Wi-Fi settings from their connected devices.

Abstract: An example method includes receiving incident data for historical incidents of downtime or interrupted service. The incident data includes identification information about one or more first computing applications, devices, or services affected by the downtime or the interrupted service. The incident data further includes timing information relating to the historical incidents and version history information of the one or more first computing applications, devices, or services. The method further includes receiving root cause data indicating a cause of the historical incidents and receiving action data indicating a corrective or preventative action taken or to be taken in response to each of the historical incidents. The method further includes training a machine learning algorithm using the incident, root cause, and action data to create a trained model configured to determine a root cause and a new corrective or preventative action for a new incident.

Abstract: Various embodiments set forth techniques for cache warmup. The techniques determining, by a node, identities of one or more target storage blocks of a plurality of storage blocks managed by a storage system, where the node previously cached metadata corresponding to the one or more target storage blocks; receiving the metadata corresponding to the one or more target storage blocks; and storing the metadata corresponding to the one or more target storage blocks in a cache memory of the node.

Abstract: A system and corresponding computer-implemented method perform virtual local area network (VLAN) assignment. The method identifies, automatically, whether a network-enabled device is associated with a previously assigned VLAN for a network. The network-enabled device has passed authentication. The authentication is responsive to a request sent from the network-enabled device to network equipment for access to the network. Based on a result of the identifying, the method automatically (i) selects a VLAN from a pool of dynamically assignable VLANs, (ii) associates the VLAN selected with the network-enabled device, and (iii) instructs the network equipment to assign the network-enabled device to the VLAN selected from the pool.

Abstract: A system and corresponding computer-implemented method provide secure network access to network-enabled devices. The computer-implemented method creates a user profile, automatically. The user profile is bound to a physical geographic location. The user profile provides access rights to a network. The computer-implemented method assigns, automatically, at least one VLAN to the user profile created. The assigning is based on whether there is an existing user profile bound to the physical geographic location. The computer-implemented method associates, automatically, the user profile created with a network-enabled device.

Abstract: A lithium ion battery is provided that includes: a positive electrode; a negative electrode; a separator comprising a material having a melt temperature of greater than 150° C.; and an electrolyte including an organic solvent and a lithium salt. A method for sterilizing a lithium ion battery is also provided that includes: providing a lithium ion battery (particularly one as described herein); either charging or discharging the battery to a state of charge (SOC) of 20% to 100%; and steam sterilizing the battery to form a sterilized lithium ion battery.

Abstract: Generally described, the presently disclosed technology utilizes managed Wi-Fi networks pre-installed throughout an MDU property to provide user-specific passphrases that can be used to access the single-SSID wireless network at the property and to provide a cloud portal that can enable convenient access to the functionalities (both by the resident and the manager) provided by the Wi-Fi controller and the Wi-Fi access points. By doing so, the Wi-Fi network management solutions described herein allow the users to experience the benefits of a shared Wi-Fi infrastructure, such as not having to set up and maintain their own Wi-Fi routers, while also allowing them to easily change their Wi-Fi settings from their connected devices.

Abstract: Creating a containerized data analytics pipeline, including: creating a data analytics pipeline having a component that is deployed within a container that executes in a container cluster that is external to shared storage accessible by components of the data analytics pipeline; and responsive to detecting that a component of the data analytics pipeline has failed, deploying another instance of the component in a failover container that is configured to support one or more components of the data analytics pipeline.

Abstract: A battery including a conductive housing, a header assembly, and electrode assembly where the electrode assembly includes a solid-state electrolyte. A battery including a conductive housing having an inner surface and an outer surface, a header assembly, an electrode assembly, and an electrically insulative coating on at least a portion of the inner surface of the conductive housing.

Abstract: In implementations of repeat object blending, a computing device implements a repeat object blending system, which is implemented to receive a digital image depicting a first object and a second object, where the first object is depicted as multiple instances of a repeated base object, and the second object is depicted as multiple instances of a visually different repeated base object. The repeat object blending system can identify visual characteristics of the first object and the second object. The repeat object blending system can then generate an intermediate object by blending one or more of the visual characteristics of the first object and one or more of the visual characteristics of the second object. The resulting intermediate object is a visual representation of the repeated base object blended with the visually different repeated base object.

Abstract: Providing for high availability in a data analytics pipeline without replicas, including: creating a data analytics pipeline, wherein each component of the data analytics pipeline is deployed within a container; creating a failover container; detecting that a component within the data analytics pipeline has failed; and responsive to detecting that the component within the data analytics pipeline has failed, deploying the component within the data analytics pipeline that has failed in the failover container.