Abstract: An electrical pin and sleeve device is disclosed. The pin and sleeve device incorporating one or more features to facilitate easier assembly and use. For example, the pin and sleeve device may include one or more alignment or keys between, for example, the electrical contacts and the thru holes for receiving the contacts formed in the device to prevent improper insertion of the contacts within the device. Additionally, and/or alternatively, one or more alignment or keys between components of the pin and sleeve device such as, for example, between the contact carrier and the body member to prevent improper coupling of the body member relative to the contact carrier or subsequent rotation thereof. Additionally, and/or alternatively, the pin and sleeve device may include one or more tapered or funneled surfaces for preventing wire splaying during insertion of the electrical strands into the contacts.

Abstract: Systems and methods are described for enrolling a user device in a Unified Endpoint Management (“UEM”) system over a closed network. After an initial boot or factory reset of a user device, a user can scan a Quick Response code, or other scannable code, that is embedded with enrollment configuration data that includes configuration settings for communicating with a UEM server in the UEM system. Using the enrollment configuration data, the user device can retrieve an installation file for a management application. The user device can install the management application and give the management application access to the enrollment configuration data. The management application can disable hardcoded open network endpoints on the user device and configure the user device for UEM communications on the closed network. The user device can connect to the UEM server over the closed network and request enrollment in the UEM system.

Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: Methods and systems for automated testing of extremely-high frequency devices are disclosed. A device under test (DUT) is set in a simultaneous transmit and receive mode. The DUT receives a lower frequency radio frequency (RF) signal from a test unit and up-converts the lower frequency RF signal to a higher frequency RF signal. The DUT transmits the higher frequency RF signal using a first antenna, and receives the higher frequency RF signal using a second antenna. The DUT down-converts the received higher frequency RF signal to a received test RF signal and provides the received test RF signal to the test unit for comparing measurements derived from the received test signal to a design specification for the DUT.

Abstract: Retrieval of material from vessel lumens can be improved by electrically enhancing attachment of the material to the removal device. The removal device can have a core assembly that includes a hypotube coupled to a first electrical terminal and a pushwire coupled to a second electrical terminal, the pushwire extending through the hypotube lumen. An insulating layer separates the hypotube and the pushwire, and an interventional element is coupled to a distal end of the pushwire. The interventional element can be disposed adjacent to a thrombus. An electrical signal is delivered to the interventional element to promote adhesion of the thrombus to the interventional element. The electrical signal can optionally be a periodic waveform, and the total energy delivered can be between 0.75-24,000 mJ and the peak current delivered via the electrical signal can be between 0.5-5 mA.

Abstract: In a network host discovers each node n and each audio group at each node, an audio group including audio channel(s) and being one of a source or a sink. The host receives identification of at least one audio stream having a source audio group and sink audio group(s). The host derives, for each node n starting from main downstream to a last node: register values DNMaskReg(n) and register values DNSlotReg(n). The host derives, for node n starting from the last node and proceeding to the main node: register values UPMaskReg(n) and UPSlotReg(n). The host derives, for each node n: register values TXCrossReg(n) and RXMaskReg(n). The host writes, over the network to a corresponding register of each node n, the derived register values.

Abstract: An adder with first and second majority gates. For a 1-bit adder, output from a 3-input majority gate is inverted and input two times to a 5-input majority gate. Other inputs to the 5-input majority gate are same as those of the 3-input majority gate. The output of the 5-input majority gate is a sum while the output of the 3-input majority gate is the carry. Multiple 1-bit adders are concatenated to form an N-bit adder. The input signals are driven to first terminals of non-ferroelectric capacitors while the second terminals are coupled to form a majority node. Majority function of the input signals occurs on this node. The majority node is then coupled to a first terminal of a non-linear polar capacitor. The second terminal of the capacitor provides the output of the logic gate. A reset mechanism initializes the non-linear polar capacitor before addition function is performed.

Abstract: Apparatus and methods disclosed herein provide an optimal viewpoint from which a virtual camera views a scene in an environment surrounding an ego vehicle. A first value is determined indicating an extent to which a first view from a default viewpoint of the virtual camera satisfies first and second view observation objectives. A second value is determined indicating an extent to which a second view from an alternative viewpoint of the virtual camera satisfies the first and second view observation objectives. If the second value exceeds the first value by an amount greater than a specified criterion value, the alternative viewpoint is selected for the virtual camera. If the second value does not exceed the first value by an amount greater than the specified criterion value, the default viewpoint is selected for the virtual camera.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform any one or more of a variety of machine learning tasks. For example, the neural network can be configured as a generative neural network, e.g., an autoregressive generative neural network.

Abstract: Ferroelectric capacitor is formed by conformably depositing a non-conductive dielectric over the etched first and second electrodes, and forming a metal cap or helmet over a selective part of the non-conductive dielectric, wherein the metal cap conforms to portions of sidewalls of the non-conductive dielectric. The metal cap is formed by applying physical vapor deposition at a grazing angle to selectively deposit a metal mask over the selective part of the non-conductive dielectric. The metal cap can also be formed by applying ion implantation with tuned etch rate. The method further includes isotopically etching the metal cap and the non-conductive dielectric such that non-conductive dielectric remains on sidewalls of the first and second electrodes but not on the third and fourth electrodes.

Abstract: Implementations described herein relate to memory device initialization. In some implementations, a memory device may perform a first initialization for a first set of memory resources, the first initialization being associated with a boot image initialization. The memory device may enable a sideband interface, for data transfer between the memory device and a host device, based on a completion of the first initialization. The memory device may perform a second initialization for a second set of memory resources that is larger than the first set of memory resources. The memory device may enable a peripheral component interconnect express interface, for data transfer between the memory device and the host device, based on a completion of the second initialization.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform any one or more of a variety of machine learning tasks. For example, the neural network can be configured as a generative neural network, e.g., an autoregressive generative neural network.

Abstract: Techniques are disclosed for customization of fin-based transistor devices to provide a diverse range of channel configurations and/or material systems within the same integrated circuit die. In accordance with one example embodiment, sacrificial fins are removed and replaced with custom semiconductor material of arbitrary composition and strain suitable for a given application. In one such case, each of a first set of the sacrificial fins is recessed or otherwise removed and replaced with a p-type material, and each of a second set of the sacrificial fins is recessed or otherwise removed and replaced with an n-type material. The p-type material can be completely independent of the process for the n-type material, and vice-versa. Numerous other circuit configurations and device variations are enabled using the techniques provided herein.

Abstract: An example embodiment may include: receiving, from an application, a request, wherein the request includes textual content; in response to receiving the request, determining a context relating to the textual content; generating, from the textual content and the context, a prompt for a natural language model; transmitting, to the natural language model, the prompt; receiving, from the natural language model, a response to the prompt, wherein the response includes information relevant to the request or programmatic commands; and providing, to the application, further textual content that is based on the response.

Abstract: Example methods and systems for health check as a service are described. One example may involve a computer system receiving a request to perform a health check for a network environment that includes a set of multiple flows. The computer system may select a subset that includes (a) a first flow between a first pair of endpoints and (b) a second flow between a second pair of endpoints. The health check may be initiated for the first flow and the second flow by generating and sending (a) a first instruction to cause injection of a first health check packet, and (b) a second instruction to cause injection of a second health check packet. The computer system may determine health status information associated with the subset based on (a) first observation information triggered by the first health check packet, and (b) second observation information triggered by the second health check packet.

Abstract: A method for managing composed information handling systems to perform workflows. The method includes obtaining a first request for data from a system control processor to perform a first portion of a workflow; making a first determination that the first request is associated with a first change of the data; performing first transformations on the data based on the first request to obtain first transformed data; providing the first transformed data to the system control processor; obtaining a second request for the data from the system control processor to perform a second portion of the workflow; making a second determination that the second request is associated with a second change of the data; performing second transformations on the data based on the second request to obtain second transformed data; and providing the second transformed data to the system control processor.

Abstract: A mechanical stabilization system for a battery assembly is disclosed. The system includes an actuator and a stabilizer that are configured to work in concert. The actuator and stabilizer are disposed in a housing of the battery assembly. The system may be implemented by depression of the actuator disposed in the housing, which causes the stabilizer to retract a support post into the housing. The depression can occur during a docking operation of the battery assembly with a lift mechanism for an electric vehicle. When the actuator is released, the support post automatically reverts to its previous, deployed state. The support post is configured to maintain the battery assembly in a stable configuration when the battery assembly is separated from the electric vehicle.

Abstract: An autonomous compute storage device system includes a computing device and a storage device that is coupled to the computing device. The storage device receives a write instruction from a host processing system in the computing device that includes data for storage in a storage subsystem that is included in the storage device and, in response, performs a write operation to provide the data in a memory subsystem that is accessible to the storage device and store the data in the storage subsystem. If the storage device determines that an autonomous compute signature matches the data that was provided in the memory subsystem during the performance of the write operation, it executes an autonomous compute application to perform compute operations that are associated with the data that was provided in the memory subsystem during the performance of the write operation and generate at least one compute operation result.

Abstract: Disclosed herein is a technique for implementing a framework that enables application developers to enhance their applications with dynamic adjustment capabilities. Specifically, the framework, when utilized by an application on a mobile computing device that implements the framework, can enable the application to establish predictive models that can be used to identify meaningful behavioral patterns of an individual who uses the application. In turn, the predictive models can be used to preempt the individual's actions and provide an enhanced overall user experience. The framework is configured to interface with other software entities on the mobile computing device that conduct various analyses to identify appropriate times for the application to manage and update its predictive models. Such appropriate times can include, for example, identified periods of time where the individual is not operating the mobile computing device, as well as recognized conditions where power consumption is not a concern.

Abstract: A method performed by a control node for a radio access network. The control node may select an energy source from a plurality of energy sources connected to a base station based on selecting an energy rate of one of the energy sources correlated in time with a radio traffic power usage of the base station. The selection may be made from a plurality of energy rates for the plurality of energy rates correlated in time for each energy source with a radio traffic power usage of the base station. The selected energy rate may improve at least one operating parameter of the selected energy source. The control node may activate the selected energy source for use by the base station. A further method performed by a global control node may be provided.