Abstract: A transmission comprises: a first planetary stage including a first ring gear defining first internal teeth; a ground component defining second internal teeth; a compound planetary stage including a one-way clutch with an inner race and an outer race, the outer race having a first tapered surface; and an adaptor defining external teeth and a second tapered surface, the adaptor being movable into at least a first position where the first tapered surface and the second tapered surface are connected with each other, and into a second position where instead the first internal teeth are gear coupled with the second internal teeth.

Abstract: A computer-implemented method and system for autonomic cloud to edge compute allocations in a sports fantasy league trade transaction. The computer implemented method includes, in one embodiment, calculating, based on an expected return associated with each player on each of a plurality of teams in a fantasy sports league, a valuation for each player. An embodiment includes determining a positional need for each of the plurality of teams in the fantasy sports league, and determining, based on the valuation for each player and the positional need for each team, one or more players to include in a trade with another team of the plurality of teams.

Abstract: A device includes a memory configured to store data corresponding to a media stream including video recorded at a first frame rate and multiple audio segments includes the multiple audio segments include one or more first audio segments indicated as having a first playback type and one or more second audio segments indicated as having a second playback type includes the device also includes one or more processors coupled to the memory and operably configured to initiate playback of the media stream includes the playback of the media stream includes playback of the video at a second frame rate that is different from the first frame rate, playback of the one or more first audio segments at a first playback speed corresponding to the first frame rate, and playback of the one or more second audio segments at a second playback speed corresponding to the second frame rate.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for antenna-aware energy reservation for radio frequency (RF) exposure compliance. An example method of wireless communication includes obtaining information associated with a plurality of antenna ports. The method further includes determining one or more reserves based at least in part on the information. The method further includes transmitting a first signal via a first antenna port at a first transmit power determined based at least in part on the one or more reserves while maintaining at least a portion of the one or more reserves for a future transmission via a second antenna port.

Abstract: The present technology can allow a user to use the OpenID Connect protocol to login to an account that has an anonymous user account ID. More specifically, the present technology can programmatically combine information received from an OpenID provider during the OpenID Connect protocol with a random value to yield a unique anonymous user account ID. The present technology also makes use of the ability within the OpenID Connect protocol to embed a chosen nonce into the token signed by the OpenID provider. This allows for embedding hashes of cryptographic keys, like signature verification keys, into ID tokens received from the OpenID provider that authenticates the user. Subsequently, the user can sign messages that can be verified using the verification key bound to the ID token from the OpenID provider.

Abstract: Techniques and apparatus for providing battery protection. One example technique for providing battery protection generally includes monitoring a voltage of a battery node during an off mode of a device having a battery coupled to the battery node, determining that the voltage of the battery node is below a first threshold voltage, and disconnecting a path between the battery node and a power supply node of the device in response to the determination.

Abstract: Systems, methods, and computer program products for identifying a fraudulent device. A device analytics engine receives device data from a computing device, the device data including parameters associated with the computing device. The device analytics engine selects a set of rules in a plurality of rules that indicate at least one parameter in the plurality of parameters in the device data for determining a device identifier. The set of rules are evaluated in order until the device identifier is determined from the at least one parameter indicated in the set of rules, the device data, and previously stored data from multiple computing devices. A score is generated for the computing device using one or more of the device identifier, device data, a set of rules, and previously receive device data that corresponds to the device identifier. A computing device is identified as a fraudulent computing device based on the score.

Abstract: In some examples, a database system accesses a plurality of objects in a remote object store. In response to a query to change data in a first object of the plurality of objects, the database system specifies the first object prior to the change as a first version of the first object, and creates a second version of the first object after the change. The database system maintains metadata identifying unmodified objects of the plurality of objects, and during a garbage collection process when deciding whether to remove a given object of the plurality of objects, accesses the metadata to determine whether the given object has been modified, and prevents removal of the given object in response to determining that the given object is unmodified.

Abstract: Methods, devices, and systems related to storing parity data in dynamic random access memory (DRAM) are described. In an example, a method can include generating, at a controller, parity data based on user data queued for writing to a non-volatile memory device, receiving the parity data at a DRAM device from the controller and writing the parity data to the DRAM device, receiving the user data at a non-volatile memory device from the controller and writing the user data to the non-volatile memory device, reading the user data from the non-volatile memory device via the controller, and receiving the parity data at the controller from the DRAM device.

Abstract: Methods, systems, and devices for logical counters for a memory system are described. A controller within a memory system may generate one or more logical counters that each correspond to a management counter of a memory die. The controller may store the logical counters at a logical address space associated with the memory system. The logical address space may correspond to a physical location within a memory array of the memory die. The controller may periodically read a value of a management counter and store the value to the logical counter. In some examples, if the memory system detects an error condition for the management counter, the memory system may perform a recovery operation for the data stored at the memory die.

Abstract: Computer-implemented methods for identifying anomalies in a trained prediction model are provided. Aspects include receiving an input data set and obtaining a prediction from the trained prediction model based on the input data set. Aspects also include receiving, from a subject matter expert, a determination that the prediction is a false positive and creating a false positive contour based on the input data set. Aspects further include adding the false positive contour to a false positive feature space for the trained prediction model.

Abstract: Methods, systems, and devices for error tracking by a memory system are described. A memory system transmit indications of corrupt data without storing (e.g., internally storing) the indication. In some examples, a memory system may read data (e.g., from an associated memory device) and detect an error in the data. The memory system may generate an indication of the error and may transmit the indication to a host device. In other examples, a host device may transmit corrupted data with an indication of such. The memory system may store the corrupt data (e.g., an inverted version of the corrupt data) and, upon receiving a subsequent read command, may transmit the corrupt data to the host system with an indication that the data is corrupt.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

Abstract: The innovation discloses systems, methods and computer program products that reduce complexity and associated measures that are taken to ensure trust in secured transactions as necessitated by requirements present only in an ecommerce environment that do not have a parallel with traditional bricks and mortar commercial transactions. The innovation enables a multitude of mobile wallet applications to engage and obtain services from ecommerce applications wherein backend processing by a mobile wallet server obtains and delivers funds to ecommerce applications without sharing a subset of sensitive data, associated with a mobile wallet application user for the secured transactions. The innovation further provides for a wallet network to be initiated and engaged in which the secured transactions can take place, adopting and adapting social network application connectivity.

Abstract: Visual analytics systems can use video data from cameras placed throughout a location (e.g., a store or a hospital) to determine poses, gestures, tracks, journeys, and actions, and thereby to provide broader analytics useful in realizing efficiencies and improving human behaviors. Data from visual analytics systems can be used to generate alerts, make useful predictions, and run simulations to test hypotheses.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

Abstract: A method for performing a deep similarity modeling on client data to derive behavioral attributes at an entity level is provided. The method includes (i) obtaining a first dataset of a first set of entities; (ii) obtaining a second dataset of a second set of entities; (iii) matching identifiers of the first dataset with the second dataset to obtain a matched set of entities; (iv) generating ground truth labels for the matched set of entities; (v) determining a feature combination of at least one generic feature from the first dataset and at least one custom feature from the second dataset for the matched set of entities; (vi) training a deep similarity model using ground truth labels and feature combination as training data to obtain a trained deep similarity model; (vii) determining similar entities from the second dataset using the trained deep similarity model and the classification method.

Abstract: A data intake and query system can manage the search of large amounts of data using one or more processing nodes. When a new processing node is added or becomes available, the node coordinator can reassign duties from one or more processing nodes to the new processing node. The node coordinator can initially assign the new processing node one or more groups of data for backup purposes. At a later time, the node coordinator can reassign the new processing node to the one or more groups of data for searching purposes.

Abstract: Methods and systems for characterizing a user or a session associated with a user interface and customizing the user interface responsive to the characterization such that a sales transaction is facilitated. The methods and systems are applicable in the vehicle sales, leasing, subscription, and rental contexts, as well as in other contexts.