Abstract: An approach is described for a method, product, and apparatus for a machine learning process using dynamic rearrangement of sparse data and corresponding weights. This approach includes a method, product, and apparatus for dynamically rearranging input data to move sparse data to a location such that computations on the sparse data might be avoided when executing a machine learning processing job. For example, sparse data within each row of the input matrix can be moved to the end of each corresponding row. When the input data is folded to fit the array, that sparse data might be at least partially contained within a fold that comprises only sparse data and possibly filler data. In such an event, computations on the fold are unnecessary and are avoided. In some embodiments, the approach includes dynamically rearranging a weight matrix to maintain a correspondence between the input data and the weights.

Abstract: A sealed pharmaceutical container includes a shoulder, a neck extending from the shoulder, a flange extending from the neck, and a sealing assembly. The flange includes an underside surface extending from the neck, an outer surface extending from the underside surface, the outer surface defining an outer diameter of the flange, and an upper sealing surface extending between the outer surface and an inner surface defining an opening in the sealed pharmaceutical container. The sealing assembly includes a stopper and a metal-containing cap securing the stopper to the flange. The stopper includes a sealing portion extending over the upper sealing surface of the flange and covering the opening, and a rim extending at least partially along the outer surface of the flange.

Abstract: According to some embodiments, disclosed are systems and methods for machine learning-based image detection and the determination of slippery conditions based therefrom. The disclosed systems and method identify a set of images that depict captured imagery in relation to at least one area of a floor at a location. These images are then analyzed via at least one slippery condition detection machine learning algorithm, which results in a determination of a classification of the area of the floor (e.g., does a puddle exist or other type of slippery condition). This information is stored and later used for training of the at least one slippery condition detection machine learning algorithm. Moreover, the information is communicated to beacons in/around the location, to alert users to the condition.

Abstract: Disclosed is a drip irrigation hose with an emitter, devoid of fluid storage, the emitter comprising, a plurality of holes, running along a first edge and a second edge of the emitter, wherein the plurality of holes enable filtration. An inlet support positioned at a first side of the emitter, wherein the inlet support has an inverted funnel shape, with a separating structure extending from at least one corner of the inverted funnel. A first inlet positioned parallel to the plurality of holes and located along the first edge. A second inlet positioned parallel to the plurality of holes and located along the second edge. Further an outlet support positioned at a second side of the emitter.

Abstract: Resource allocation limitations include resource limits and resource guarantees. A consumer is vulnerable to interruption by other consumers if using more resources than guaranteed. Resources are designated and/or assigned consumers based on resource limits and resource guarantees. A constraint programming (CP) solver determines resource limits and resource guarantees that minimize vulnerability and/or vulnerability cost based on resource usage data. A CP data model includes limit elements, guarantee elements, and vulnerability elements. The CP data model further includes guarantee-vulnerability constraints, which relies on exceedance distributions generated from resource usage data for the consumers. The CP data model declaratively expresses combinatorial properties of a problem in terms of constraints. CP is a form of declarative programming.

Abstract: Systems and methods for managing a database back end as a service are described. In some aspects, the described systems and methods provide for a cloud-based resource for servicing a request for data from an application to a remote database and/or a service. In some aspects, the described systems and methods provide for a cloud-based application client for requesting data from a remote database and/or a service.

Abstract: Systems and methods of the present disclosure enable movement recognition and tracking by receiving movement measurements associated with movements of a user. The movement measurements are converted into feature values. An action recognition machine learning model having trained action recognition parameters generates, based on the feature values, an action label representing an action performed during an action-related interval. An activity recognition machine learning model having trained activity recognition parameters generates, based on the action label, an activity label representing an activity performed during an activity-related interval, where the activity includes the action. A task recognition machine learning model having trained task recognition parameters generates, based on the action label and the activity label, a task label representing a task performed during a task-related interval, where the task includes the activity and action.

Abstract: According to some embodiments, disclosed are systems and methods for machine learning-based image detection and the determination of slippery conditions based therefrom. The disclosed systems and method identify a set of images that depict captured imagery in relation to at least one area of a floor at a location. These images are then analyzed via at least one slippery condition detection machine learning algorithm, which results in a determination of a classification of the area of the floor (e.g., does a puddle exist or other type of slippery condition). This information is stored and later used for training of the at least one slippery condition detection machine learning algorithm. Moreover, the information is communicated to beacons in/around the location, to alert users to the condition.

Abstract: Fabric treatment compositions that include a treatment adjunct material and certain phenol antioxidants. Process of treating fabrics that include at least one source of malodor by contacting the fabric with such fabric treatment compositions. Premix compositions that include certain phenol antioxidants, and methods of making treatment compositions that include such premixes.

Abstract: Compounds and methods for treating diseases mediated by a P2X3 and/or a P2X2/3 receptor antagonist, the methods comprising administering to a subject in need thereof an effective amount of a compound of formula (I): or a pharmaceutically acceptable salt, solvate or prodrug thereof, wherein X is O, D, Y, R1, R2, R3, R4, R5, R6, R7 and R8 are as defined herein.

Abstract: A system includes a wearable device including an accelerometer configured to record accelerometer data during an activity; a modeling device programmed to determine device acceleration data of the wearable device during the activity based on the accelerometer data, the device acceleration data including x-axis, y-axis, and z-axis acceleration data of the device, translate the device acceleration data to wearer acceleration data of a wearer during the activity, wherein the wearer acceleration data includes at least x-axis and y-axis wearer acceleration data, wherein the y-axis acceleration data of the wearer indicates acceleration along a sagittal axis of the wearer, identify a lift, and utilize a trained lift classification machine learning model to classify the lift as high-risk or low-risk based on a ratio of the x-axis wearer acceleration data to the wearer y-axis acceleration data; and a feedback element configured to provide tangible feedback based on identification of a high-risk lift.

Abstract: According to some embodiments, disclosed are systems and methods for dynamic optimized activity-assignment processing based on a periodic assessment of user fatigue risk via wearable devices. The disclosed technology receives tracking data related to movements and activities of a plurality of users working at a location and determines a user-specific injury prone score for each user. Based on this, the technology analyzes a current activity assignment schedule, which is modified to correspond to the current capabilities of each user at the location. As a result, a notification is generated and communicated to each user so as to alert them to their new assignment.

Abstract: An approach includes identification of a machine learning model for processing and generating an ordered set of weights with varying precisions and metadata that specifies where those values can be found in order to allow the identification of weights needed during processing. In a first embodiment, the variable precision weights are separated into different memory segments where each segment has weights of only a single precision. In a second embodiment, the variable precision weights are provided in a memory where weights of different precisions are intermingled, and those weights are identified using a sequence of pairs of data representing a number of weights with the same precision and the precision of those weights. In some embodiments, both the first and second embodiments are combined, where some segments contain weights with only a single precision and at least one segment stores weights with different precisions within a respective segment.

Abstract: A floor panel connection system for attaching a floor panel to an airframe is disclosed. The connection system includes an offset flange insert comprising a base portion, a flange portion, and an interconnect portion. The base portion of the insert is configured to be received in a hole in an edge region of the floor panel and includes an opening that is sized to receive a fastener. The interconnect portion extends laterally from the base portion such that when the edge portion of the floor panel is overlapping a lateral edge portion of the airframe, the flange portion of the insert is beyond the lateral edge portion. The flange portion is also configured to be bonded to a bottom surface of the floor panel beyond the lateral edge portion of the airframe.

Abstract: A method of updating a playlist for a first user includes identifying a client device associated with the first user of a content sharing platform that comprises a plurality of media items, identifying a first playlist of the first user, the first playlist including a first subset of media items, identifying a second subset of media items of the second user, detecting an action performed by the first user with respect to at least one media item of the second subset of media items of the second user, the action performed by the first user indicates interest of the first user in the at least one media item of the second user, and automatically adding the at least one media item of the second user to the first playlist of the first user.

Abstract: An aircraft includes a battery pack, an internal support structure to support the battery pack in the aircraft, a first bracket rigidly coupling the battery pack to the support structure, and a second bracket rotationally coupling the battery pack to the support structure. The first and second brackets may be located on opposite sides of the battery pack. The internal support structure may be located in a wing of the aircraft and the first and second brackets may be aligned in a fore-aft direction of the aircraft. The internal support structure may be located in a nacelle of the aircraft and the first and second brackets may be aligned along a transverse direction of the aircraft. The second bracket may include two hangers to support a mass of the battery pack in tension.

Abstract: A light projection system includes a light source configured to emit image light and an optical assembly configured to provide positive optical power to the image light and optically correct the image light. The optical assembly comprises a plurality of optical elements configured to correct differential distortion related to the image light across a field of view (FOV) within a threshold amount. The differential distortion is corrected based in part on asymmetry of the plurality of optical elements relative to an optical axis shared by the plurality of optical elements.

Abstract: The present disclosure provides a brace system including an upper portion and a lower portion. The brace system may also include a first pulley rotatably coupling the upper portion to a first intermediate link positioned between the upper portion and the lower portion. The brace system may also include a second pulley rotatably coupling the first intermediate link to a second intermediate link positioned between the upper portion and the lower portion. The brace system may also include a third pulley rotatably coupling the second intermediate link to the lower portion. Further, the brace system may include at least one tension-bearing element substantially encircling each of the first pulley, the second pulley, and the third pulley.

Abstract: Compounds are provided having Formula (I): wherein R, R1, Cyc and A have the meanings provided herein. The compounds have utility in the treatment of diseases, either alone or in combination with other agents.