Abstract: In some embodiments, based on a wireless signal of a mobile device (e.g., obtained by a local device) the mobile device and a first authentication capability of the mobile device may be detected. Based on the detection of the mobile device, the mobile device may present access initiation options on a user interface of the mobile device. Based on a selection of a first option of the access initiation options via the user interface to initiate an access request for an access operation with the local device, an authentication request may be generated, where the authentication request is associated with the first authentication capability and with a first authentication tier. For example, the authentication request may be generated based on (i) the first authentication capability being detected as an authentication capability of the mobile device and (ii) the first authentication tier corresponding to an access amount of the access request.

Abstract: The present disclosure is directed to a scheduler in a real time operating system for a central processing unit (CPU) that runs a number of, and diverse set of processes in a ready queue, the scheduler when executed by the CPU performs steps including dividing the ready queue of P processes into two lists, list 1 contains n processes while list 2 contains m processes, where n+m=P, averaging total execution times of the processes in each list, generating a first quantum s based on an average of each list, generating a second quantum t based on the average of each list, comparing total execution time of a candidate process which needs to be assigned to the CPU with the quantum values, and assigning the value of a quantum, based on the comparing, that is the quantum value closest to the total execution time of the candidate process, to that process as a time period for running on the CPU.

Abstract: The disclosure is generally directed to systems and methods for inference quality determination of a deep neural network (DNN) without requiring ground truth information for use in driver-assisted vehicles, including receiving an image frame from a source; applying a normal inference DNN model to the image frame to produce a first inference with a first bounding box using a normal inference DNN model; applying a deep inference DNN model to a plurality of filtered versions of the image frame to produce a plurality of deep inferences with a plurality of bounding boxes; comparing the plurality of bounding boxes to identify a cluster condition of the plurality of bounding boxes; and determining an inference quality of the image frame of the normal inference DNN model as a function of the cluster condition.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive image data from a camera, generate a depth map from the image data, detect an object in the image data, apply a bounding box circumscribing the object to the depth map, mask the depth map by setting depth values for pixels in the bounding box in the depth map to a depth value of a closest pixel in the bounding box, and determine a distance to the object based on the masked depth map. The closest pixel is closest to the camera of the pixels in the bounding box.

Abstract: The present invention belongs to the medical field, and relates to novel ?-lactamase inhibitors, for the treatment of bacterial infections in combination with ?-lactam antibiotics, including infection caused by drug resistant organisms and especially multi-drug resistant organisms. The present invention includes compounds according to formula (I): or pharmaceutically acceptable salts thereof, wherein M and R are as defined herein.

Abstract: Compositions for the immediate release of one or more cannabinoids, in which the compositions comprise a population of particles. Each particle may comprise the one or more cannabinoids and one or more intra-granule excipients. Alternatively, each particle may comprise the one or more cannabinoids and a porous bead core. The composition may be prepared by a method that involves combining the one or more cannabinoids with the one or more intra-granule excipients, and then granulating the combination, such as through fluid bed granulation, shear-induced wet granulation, or spray granulation. The composition may also be prepared by a method that involves mixing the one or more cannabinoids with a population of porous bead cores.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive an image frame from a camera, generate a feature map from the image frame, generate a depth map from the feature map, classify an object in the image frame based on the feature map, and estimate a distance to the object based on the depth map and based on an input to generating the feature map.

Abstract: The disclosed embodiments provide systems and methods for transacting at a local financial service provider device using a mobile device. The system may include one or more processors configured to execute instructions to receive transaction data associated with a transaction request including a customer identifier received from a mobile device associated with the customer. Additionally, the processors may receive authentication data associated with the customer that may be provided by the customer operating the mobile device and without requiring the customer to input data directly at the local financial service provider device.

Abstract: ?-lactamase inhibitors, pharmaceutical compositions including the same, methods of preparing the same, and methods of treating bacterial infections in combination with ?-lactam antibiotics, including infection caused by drug resistant organisms and especially multi-drug resistant organisms. The present invention includes compounds according to formula (I) or pharmaceutically acceptable salts thereof, wherein M and R are as defined herein.

Abstract: A monobactam compound of formula (I), a preparation thereof, and a use thereof as antibiotic agents for the treatment of bacterial infections are provided. In the formula (I), M is hydrogen or a pharmaceutically acceptable salt forming cation, R1 and R2 represent independently of one another hydrogen or methyl, W represents a bond or O, X represents CR4 or N, R4 represents halogen, R3 represents hydrogen, amino, hydroxy, (C1-C6)-alkyl, or a 4-, 5- or 6-membered nitrogen-containing heterocycle.

Abstract: The present disclosure is directed to a scheduler in a real time operating system for a central processing unit (CPU) that runs a number of, and diverse set of processes in a ready queue, the scheduler when executed by the CPU performs steps including dividing the ready queue of P processes into two lists, list 1 contains n processes while list 2 contains m processes, where n+m=P, averaging total execution times of the processes in each list, generating a first quantum s based on an average of each list, generating a second quantum t based on the average of each list, comparing total execution time of a candidate process which needs to be assigned to the CPU with the quantum values, and assigning the value of a quantum, based on the comparing, that is the quantum value closest to the total execution time of the candidate process, to that process as a time period for running on the CPU.

Abstract: The disclosure is generally directed to systems and methods for inference quality determination of a deep neural network (DNN) without requiring ground truth information for use in driver-assisted vehicles, including receiving an image frame from a source; applying a normal inference DNN model to the image frame to produce a first inference with a first bounding box using a normal inference DNN model; applying a deep inference DNN model to a plurality of filtered versions of the image frame to produce a plurality of deep inferences with a plurality of bounding boxes; comparing the plurality of bounding boxes to identify a cluster condition of the plurality of bounding boxes; and determining an inference quality of the image frame of the normal inference DNN model as a function of the cluster condition.

Abstract: Provided are ?-lactam compounds of formula (I), their preparation and use as antibiotic agents for the treatment of bacterial infections: Wherein X, W, R1, R2 and R3 are defined herein.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive image data from a camera, generate a depth map from the image data, detect an object in the image data, apply a bounding box circumscribing the object to the depth map, mask the depth map by setting depth values for pixels in the bounding box in the depth map to a depth value of a closest pixel in the bounding box, and determine a distance to the object based on the masked depth map. The closest pixel is closest to the camera of the pixels in the bounding box.

Abstract: Compositions for the immediate release of one or more cannabinoids, in which the compositions comprise a population of particles. Each particle may comprise the one or more cannabinoids and one or more intra-granule excipients. Alternatively, each particle may comprise the one or more cannabinoids and a porous bead core. The composition may be prepared by a method that involves combining the one or more cannabinoids with the one or more intra-granule excipients, and then granulating the combination, such as through fluid bed granulation, shear-induced wet granulation, or spray granulation. The composition may also be prepared by a method that involves mixing the one or more cannabinoids with a population of porous bead cores.

Abstract: Compositions for the immediate release of one or more cannabinoids, in which the compositions comprise a population of particles. Each particle may comprise the one or more cannabinoids and one or more intra-granule excipients. Alternatively, each particle may comprise the one or more cannabinoids and a porous bead core. The composition may be prepared by a method that involves combining the one or more cannabinoids with the one or more intra-granule excipients, and then granulating the combination, such as through fluid bed granulation, shear-induced wet granulation, or spray granulation. The composition may also be prepared by a method that involves mixing the one or more cannabinoids with a population of porous bead cores.

Abstract: The disclosed embodiments provide systems and methods for transacting at a local financial service provider device using a mobile device. The system may include one or more processors configured to execute instructions to receive transaction data associated with a transaction request including a customer identifier received from a mobile device associated with the customer. Additionally, the processors may receive authentication data associated with the customer that may be provided by the customer operating the mobile device and without requiring the customer to input data directly at the local financial service provider device.

Abstract: Compositions for the immediate release of one or more cannabinoids, in which the compositions comprise a population of particles. Each particle may comprise the one or more cannabinoids and one or more intra-granule excipients. Alternatively, each particle may comprise the one or more cannabinoids and a porous bead core. The composition may be prepared by a method that involves combining the one or more cannabinoids with the one or more intra-granule excipients, and then granulating the combination, such as through fluid bed granulation, shear-induced wet granulation, or spray granulation. The composition may also be prepared by a method that involves mixing the one or more cannabinoids with a population of porous bead cores.

Abstract: The present disclosure is directed to dual core processor scheduling based on relative time quantum. A time quantum is calculated by taking the average of the process burst times for each roughly half portion of a ready queue list and then applying addition and subtraction to the relative values. A first CPU is assigned the quantum based on addition while the second CPU is assigned the quantum based on subtraction.

Abstract: Compositions for the immediate release, extended release, or sustained release of two or more active agents, in which the two or more active agents comprises at least one cannabinoid and at least one non-cannabinoid therapeutic agent. The compositions comprise a population of particles, in which each particles comprises the at least one cannabinoid, the at least one non-cannabinoid therapeutic agent, or a combination thereof.