Abstract: A read/write switching circuit and a memory are provided. The read/write switching circuit includes: a first data line (Ldat) connected to a bit line (BL) through a column select module, a first complementary data line (Ldat #) connected to a complementary bit line through the column select module, a second data line (Gdat) and a second complementary data line (Gdat #), and further includes: a read/write switching module (101) configured to transmit data between the first data line and the second data line and transmit data between the first complementary data line (Ldat #) and the second complementary data line (Gdat #) during read and write operations in response to read and write control signals; and an amplification module (102) connected between the first data line (Ldat) and the first complementary data line (Ldat #) and configured to amplify data of the first data line (Ldat) and data of the first complementary data line (Ldat #).

Abstract: A computer system receives a freight request from a shipper, where the freight request specifies a destination for a load of the shipper. The computer system implements a selection process to select a freight operator to haul a corresponding trailer of the trailer module from a location of the shipper to a destination. The trailer module may be monitored using information transmitted from the trailer, to determine when the trailer is picked up and/or delivered at the destination.

Abstract: Methods, systems, and devices for host initiated garbage collection are described. In some examples, a user accessible application or public interface of a host system may initiate a garbage collection procedure for a memory system using one or more vendor commands. For example, the host system and the memory system may support a first vendor command to check a fragmentation status or fragmentation parameter of the of the memory system. Additionally, the host system and the memory system may support a second vendor command to initiate a garbage collection procedure at the memory system, or to interrupt an ongoing garbage collection procedure. The host system and the memory system may also support a third vendor command to check the status of an initiated garbage collection procedure.

Abstract: Among other things, advertisements are received for brands or products of brands. Criteria for placement of the advertisements are received at online retail sites. The online retail sites are controlled independently from one another. Inventory data for the products at the online retail sites is received and stored. Data about propensities of the consumers to favor one or more of the brands or one or more products of the brands, from activities of consumers on the online retail sites, is stored. Activity data about current activities of the consumers on the online retail sites is received. One or more of the advertisements are placed on pages served to the online retail sites based on the placement data, the inventory data, the propensity data, and the activity data. Conversion data is received indicating that consumers engaged in conversion events with respect to products associated with the brands or products of brands being advertised.

Abstract: Methods, systems, and devices for storing parity during refresh operations are described. In some examples, refresh operations may be performed on a memory device when the memory device is idle. For example, a refresh operation may entail performing a logical operation on first data and a first set of parity bits and second data and a second set of parity bits. The logical operation may generate a third set of parity bits which may be used for data retention purposes. Moreover, during a read operation, the third set of parity bits may be used to recover corrupt or otherwise invalid data in the event of an error.

Abstract: Memory devices, systems including memory devices, and methods of operating memory devices are described in which waterfall attacks can be prevented from degrading data by alerting a memory controller that the memory device requests time to perform internal management operations, and should not be sent any further commands (e.g., activate commands) for a predetermined amount of time. In one embodiment, a memory device includes an external pin, a mode register, a memory array including a plurality of rows of memory cells, and circuitry configured to: determine that a criterion to perform an internal management operation on a subset of the plurality of rows has been met, transmit, in response to determining the criterion has been met, a signal to the external pin, determine a duration corresponding to the internal management operation, and write a bit value indicative of the determined duration to the mode register.

Abstract: A quick predictor override system and method for a microprocessor that enables a correction to a quick predictor, branch prediction by a branch target address cache (BTAC), and rapid update to the quick predictor. For example, the microprocessor includes a quick predictor that provides branch prediction based on a local pattern history, and a large predictor in the form of the BTAC, which provides for branch prediction using a global pattern history. Branch prediction by the BTAC is the prevailing prediction if different, for a fetched cache address, than the branch prediction by the smaller, quick predictor. Accordingly, the target and direction for conditional branches provided by the BTAC for fetching the next cache instruction are used in favor of the target and direction previously provided by the quick predictor, and the quick predictor is quickly updated with the target and direction from the BTAC during a BTAC stage.

Abstract: A unique implementation of a machine learning application for suggesting actions for a user to undertake is described herein. The application transforms a history of user behavior into a set of models that represent user actions given a set of parameters. These models are then used to suggest that users in a payments or banking environment take certain actions based on their history. The models are created using the DensiCube, random forest or k-means algorithms.

Abstract: A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

Abstract: An interactive interpretation session with respect to a first version of a machine learning model is initiated. In the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. In response to received input, an enhancement action is implemented to obtain a second version of the model. The second version of the model is stored.

Abstract: Processors, systems and methods are provided for thread level parallel processing. A processor may include a plurality of columns of vector processing units arranged in a two-dimensional column array with a plurality of column stacks placed side-by-side in a first direction and each column stack having two columns stacked in a second direction and a temporary storage buffer. Each column may include a processing element (PE) that has a vector Arithmetic Logic Unit (ALU) to perform arithmetic operations in parallel threads. At a first end of the column array in the first direction, two columns in the column stack are coupled to the temporary storage buffer for one-way data flow. At a second end of the column array in the first direction, two columns are coupled to each other for one-way data flow. The column array and the temporary storage buffer may form a one-way circular data path.

Abstract: Examples related to facilitating the training, assessment, and dispatching of technicians to a customer location for at least the purpose of servicing or repairing machines, devices, or systems present at the customer location are presented. The technician can be selected for dispatch to the customer location by review of database information, including training information for the technician, among other things. While at the customer location, the technician can be provided with training information delivered via a training module, where such training material content can comprise written materials, photos, video, virtual assistance, remote assistance, games, or the like. The technician can generate videos or other collateral while at the customer location, which can be included for use in a library of training materials for subsequent use, or for other purposes.

Abstract: Apparatus and methods receive input descriptive of a retention policy; evaluate one or more datasets against the retention policy to determine one or more deletable data elements in the one or more datasets; and delete the one or more deletable data elements from a data store.

Abstract: Customized navigation maps of an area are generated for autonomous vehicles based on a baseline map of the area, transportation systems within the area, and attributes of the autonomous vehicles. The customized navigation maps include a plurality of paths, and two or more of the paths may form an optimal route for performing a task by an autonomous vehicle. Customized navigation maps may be generated for outdoor spaces or indoor spaces, and include specific infrastructure or features on which a specific autonomous vehicle may be configured for travel. Routes may be determined based on access points at destinations such as buildings, and the access points may be manually selected by a user or automatically selected on any basis. The autonomous vehicles may be guided by GPS systems when traveling outdoors, and by imaging devices or other systems when traveling indoors.

Abstract: Systems, devices, and methods are provided for validation, deletion, and/or recovery of resources in a service environment. A machine (e.g., server) may receive a request to identify or discover a list of resources that are unused in a service environment. A machine (e.g., server) may receive a request to delete one or more resources in a service environment. In at least one embodiment, deletion of a resource involves a two-stage process where the resource is recoverably deleted in a first stage (e.g., by deactivating or disabling the resource) such that the resource can be recovered prior to a predetermined time period by reactivating or re-enabling the resource and, in a second stage, the resource is unrecoverably deleted.

Abstract: Systems and methods are described herein for repairing a block of pixels in image data that was encoding using a lossy type of compression. In one aspect, it may be determined that a first pixel block within a first frame of image data was encoded using lossy compression, where the first pixel block comprising a plurality of pixels. Next, it may be determined that the plurality of pixels in the first pixel block in a second frame of the image data are below a threshold difference as compared to the plurality of pixels within the first frame of the image data. Responsive to the determining, the first pixel block may be re-encoded in the second frame or a subsequent frame of the image data using lossless compression.

Abstract: Disclosed is a system that comprises a memory device and a processing device, operatively coupled with the memory device, to perform operations that include, determining that a value of a write counter associated with the memory device satisfies a first threshold criterion, wherein the write counter is a global counter indicating a number of write operations to the memory device. The operations performed by the processing device further include determining that a set of failed bit count statistics corresponding to a plurality of codewords of a memory unit satisfies a second threshold criterion. The operations performed by the processing device further include, responsive to determining that the set of failed bit count statistics corresponding to the plurality of codewords of the memory unit satisfies the second threshold criterion, performing a write scrub operation on the memory unit.

Abstract: Methods and systems are described that mark and/or correct margin lines and/or other features of dental sites. In one example a three-dimensional model of a dental site is generated from intraoral scan data of the dental site, the three-dimensional model comprising a representation of a preparation tooth. An image of the preparation tooth is received or generated. Data from the image is processed using a trained machine learning model that has been trained to identify margin lines of preparation teeth, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the image, a probability that the pixel depicts a margin line. The three-dimensional model of the dental site is then updated by marking the margin line on the representation of the preparation tooth based on the probability map.

Abstract: This disclosure describes, in part, a mobile apparatus that includes capacitive sensor(s) for detecting the presence of a user. For instance, the mobile apparatus, such as a shopping cart, may include capacitive sensor(s) located proximate to a main frame, the handles, and/or the wheel frame. The mobile apparatus may use one or more of these capacitive sensor(s) to determine that the user is located proximate to the mobile apparatus, in contact with the mobile apparatus, and/or located over the main frame of the mobile apparatus. In some examples, the mobile apparatus may then perform one or more actions based on the presence of the user. For example, the mobile apparatus may activate and/or deactivate one or more devices based on the presence of the user. This way, the mobile apparatus is able to conserve power by using the capacitive sensor(s) to detect the present of the user.

Abstract: The present disclosure describes a memory device comprising memory cells at cross points of access lines of a memory array, and a two-transistor driver comprising a P-type transistor and a N-type transistor connected to the P-type transistor, the two-transistor driver being configured to drive an access line of the memory array to a discharging voltage during an IDLE phase, to drive said access line to a floating voltage during an ACTIVE phase, and to drive said access line at least to a first or second read/program voltage during a PULSE phase.