Abstract: An example method of classifying user content based on a set of standards is described herein. The method includes receiving the user content, generating numeric representations of the user content, and identifying one or more standards of the set of standards applying to the user content based on a comparison of the numeric representation of the user content and numeric representations of the one or more standards.

Abstract: An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.

Abstract: The present disclosure generally relates to the field of temporal and spatial risk mapping and risk response. More particularly, the present disclosure relates to spatial and temporal mapping of outcomes, risk analysis, and responsive and preventative actions derived through artificial intelligence driven workflow augmentation using spatial and temporal data mapping of data from a plurality of historical and streaming data sources.

Abstract: A method of rendering an object model includes modifying, by a first thread executing on a computer system that is coupled to a display screen, a current object model to generate a new object model that is stored at a first memory address. The method also includes storing, by the first thread, a copy of the new object model at a second memory address. The method further includes updating, by the first thread, a reference to identify the copy of the new object model. The method also includes rendering, by a second thread executing on the computer system, a renderable object model identified by the reference into a buffer that is converted into pixels on the display screen, the first thread being independent of the second thread.

Abstract: A method of rendering an object model includes modifying, by a first thread executing on a computer system that is coupled to a display screen, a current object model to generate a new object model that is stored at a first memory address. The method also includes storing, by the first thread, a copy of the new object model at a second memory address. The method further includes updating, by the first thread, a reference to identify the copy of the new object model. The method also includes rendering, by a second thread executing on the computer system, a renderable object model identified by the reference into a buffer that is converted into pixels on the display screen, the first thread being independent of the second thread.

Abstract: The present disclosure generally relates to the field of temporal and spatial risk mapping and risk response. More particularly, the present disclosure relates to spatial and temporal mapping of outcomes, risk analysis, and responsive and preventative actions derived through artificial intelligence driven workflow augmentation using spatial and temporal data mapping of data from a plurality of historical and streaming data sources.

Abstract: Techniques are described herein for managing data in a storage array. A system includes a distributing unit to distribute compressible data and uncompressible data across compression-capable drives. The system also includes a vacating unit to vacate an excess chunklet to another drive in the storage array if a new compression factor is less than a default compression factor for the storage array.

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models based at least in part on the set of p-scores and the set of n-scores.

Abstract: A method of preparing a stem cell preparation is provided. The method includes steps of collecting adipose tissue from a mammal, contacting that adipose tissue with an enzyme preparation to digest fat and connective tissue and preserve stem cells and collecting those stem cells. In addition a kit is provided for preparing a stem cell preparation.

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models models based at least in part on the set of p-scores and the set of n-scores.

Abstract: A system that includes a storage drive and a controller communicatively coupled to the storage drive. The storage drive includes a first region of storage space that is mapped to a virtual volume and at least a second region of storage space reserved for over-provisioning operations. The controller is to unmap an operable portion of the first region of storage space in response to aging of the storage drive so that the unmapped portion can be used for over-provisioning operations.

Abstract: A data storage drive and a controller communicatively coupled to the data storage drive. The data storage drive includes a first region of storage space and at least a second region of storage space. The storage drive to reserve the first region of storage space for over-provisioning operations. The controller is to instruct the data storage drive to use the second region of storage space for over-provisioning operations.

Abstract: A system that includes a storage drive and a controller communicatively coupled to the storage drive. The storage drive includes a first region of storage space that is mapped to a virtual volume and at least a second region of storage space reserved for over-provisioning operations. The controller is to unmap an operable portion of the first region of storage space in response to aging of the storage drive so that the unmapped portion can be used for over-provisioning operations.

Abstract: Embodiments provide voice model and speaker recognition features including proactive retrieval and/or sharing of voice models, but the embodiments are not so limited. A device/system of an embodiment includes speaker recognition features configured in part to proactively retrieve and/or enable sharing of voice models for use in speaker identification operations. A method of an embodiment operates in part to proactively retrieve and/or enable sharing of voice models for use in speaker identification operations. Other embodiments are included.

Abstract: Devices are often configurable to perform actions automatically in response to a condition, such as an alarm presented at a time or date of a meeting; a message associated with a location specified by a geofence; or an automated response to a received message. Such conditions may be tangentially applied to actions involving an individual (e.g., a reminder presented during an anticipated meeting or a geofence associated with the individual's office), but may result in false positives when the individual is not actually present, and false negatives when an unanticipated presence of the individual arises. Instead, a device may be configured to detect the presence of the individual with the user (e.g., capturing a photo of the environment of the user, and identifying the face of the individual in the photo), and to perform an action for the user during the detected presence of the individual with the user.

Abstract: A method of preparing a stem cell preparation is provided. The method includes steps of collecting adipose tissue from a mammal, contacting that adipose tissue with an enzyme preparation to digest fat and connective tissue and preserve stem cells and collecting those stem cells. In addition a kit is provided for preparing a stem cell preparation.

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models models based at least in part on the set of p-scores and the set of n-scores.

Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models models based at least in part on the set of p-scores and the set of n-scores.

Abstract: A method and apparatus for using a 2:1 MUX to control read access, data bypass, and page size bypass in a memory array. The mechanism of the present invention reduces the 3:1 MUX normally required to manage these three functions to a 2:1 MUX.