Abstract: The present disclosure provides methods and systems for tracking a shopper route at a retail enterprise. Location information associated with assets can be collected at a retail location, from which a detailed route through the retail location may be recreated and overlaid on map data reflecting a retail location layout. Further analysis may be performed on the route. Additionally, the route may be overlaid on a map, including business context information and point-of-sale transaction information, allowing for various metrics and metric visualizations to be generated that can be further analyzed to achieve various objectives.

Abstract: Methods, systems, and computer-readable media for a bulk ingestion interface for a distributed data storage system are described. A bulk ingestion interface may allow bulk data to be ingested into a distributed data storage system using compute resources separate from respective compute resources of the distributed data storage system used to perform access requests to datasets stored on one or more resource hosts of the distributed data storage system.

Abstract: Methods and systems for hierarchical natural language understanding are described. A representation of an utterance is inputted to a first machine learning model to obtain information on the first utterance. According to the information on the utterance a determination that the representation of the utterance is to be inputted to a second machine learning model that performs a dedicated natural language task is performed. In response to determining that the representation of the utterance is to be inputted to a second machine learning model, the utterance is inputted to the second machine learning model to obtain an output of the dedicated natural language task.

Abstract: A patient interface for delivery of a supply of pressurised air or breathable gas to an entrance of a patient's airways comprising: a cushion member that includes a retaining structure and a seal-forming structure permanently connected to the retaining structure; a frame member attachable to the retaining structure; and a positioning and stabilising structure attachable to the frame member.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a target time-lapse video frame rate. Capture of the audio content may be stopped based on the time-lapse video frame rate being different from the target time-lapse video frame rate.

Abstract: The present invention provides an improved process for the preparation of Elagolix sodium of formula (I) and its intermediates. The present invention also provides a compounds of formula (V) and (VI), (X), (Xa) and (Xb). The present invention further provides the use of compounds of formula (V), (VI), (X), (Xa) and (Xb) in the preparation of Elagolix sodium of formula (I). The present invention provides a process for the preparation of Elagolix sodium of formula (I) and its intermediates.

Abstract: A method includes receiving from a transmitting data interface, a data stream mapping of a data input into data shards for transmission in a data stream over a data stream communication channel. Data capacity for a data producing software application from a plurality of data producing software applications is adjusted by increasing or decreasing a number of data shards in the data stream assigned to the data producing software application. An updated data stream mapping of the data input into the plurality of data shards is generated by updating a start hash key and an end hash key in a range for each of the data shards assigned to the data producing software application. The updated data stream mapping is sent to the transmitting data interface for adjusting the data capacity in the data stream transmitted over the data stream communication channel of the data producing software application.

Abstract: A system performs named entity recognition for performing natural language processing, for example, for conversation engines. The system uses context information in named entity recognition. The system includes the context of a sentence during model training and execution. The system generates high quality contextual data for training NER models. The system utilizes labeled and unlabeled contextual data for training NER models. The system provides NER models for execution in production environments. The system uses heuristics to determine whether to use a context-based NER model or a simple NER model that does not use context information. This allows the system to use simple NER models when the likelihood of improving the accuracy of prediction based on context is low.

Abstract: A system performs named entity recognition for performing natural language processing, for example, for conversation engines. The system uses context information in named entity recognition. The system includes the context of a sentence during model training and execution. The system generates high quality contextual data for training NER models. The system utilizes labeled and unlabeled contextual data for training NER models. The system provides NER models for execution in production environments. The system uses heuristics to determine whether to use a context-based NER model or a simple NER model that does not use context information. This allows the system to use simple NER models when the likelihood of improving the accuracy of prediction based on context is low.

Abstract: This invention presents a method and apparatus for vertical layered finite alphabet iterative decoding of low-density parity-check codes (LDPC) which operate on parity check matrices that consist of blocks of sub-matrices. The iterative decoding involves passing messages between variable nodes and check nodes of the Tanner graph that associated with one or more sub-matrices constitute decoding blocks, and the messages belong to a finite alphabet. Various embodiments for the method and apparatus of the invention are presented that can achieve very high throughputs with low hardware resource usage and power.

Abstract: A disclosed method may include (1) identifying a packet that enters a start point of an encapsulation tunnel that spans at least a portion of a network, (2) discovering a maximum transmission unit of the encapsulation tunnel, (3) determining whether a size of the packet satisfies a size threshold that is based at least in part on the maximum transmission unit of the encapsulation tunnel, (4) detecting an encapsulation-triggering event in connection with the packet, and then in response to detecting the encapsulation-triggering event, (5) forwarding the packet via the start point of the encapsulation tunnel toward an end point of the encapsulation tunnel. Various other systems, methods, and computer-readable media are also disclosed.

Abstract: A patient interface for delivery of a supply of pressurised air or breathable gas to an entrance of a patient's airways comprising: a cushion member that includes a retaining structure and a seal-forming structure permanently connected to the retaining structure; a frame member attachable to the retaining structure; and a positioning and stabilising structure attachable to the frame member.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a specific value and/or falling within a range of values.

Abstract: A method includes receiving from a transmitting data interface, a data stream mapping of a data input into data shards for transmission in a data stream over a data stream communication channel. Data capacity for a data producing software application from a plurality of data producing software applications is adjusted by increasing or decreasing a number of data shards in the data stream assigned to the data producing software application. An updated data stream mapping of the data input into the plurality of data shards is generated by updating a start hash key and an end hash key in a range for each of the data shards assigned to the data producing software application. The updated data stream mapping is sent to the transmitting data interface for adjusting the data capacity in the data stream transmitted over the data stream communication channel of the data producing software application.

Abstract: A method and system for continuously supplying power to an image capture device during an image capture session are disclosed. The image capture device includes an integrated internal battery located internal to the image capture device and a removable battery connected to the image capture device. Power is provided to the image capture device from the removable battery. When the removable battery is disconnected from the image capture device, power is provided to the image capture device from the integrated internal battery. When a new removable battery is connected to the image capture device, power is provided to the image capture device from the new removable battery. Power is continuously supplied to the image capture device from the integrated internal battery while the removable battery is disconnected and replaced with the new removable battery.

Abstract: A method includes receiving from a transmitting data interface, a data stream mapping of a data input into data shards for transmission in a data stream over a data stream communication channel. Data capacity for a data producing software application from a plurality of data producing software applications is adjusted by increasing or decreasing a number of data shards in the data stream assigned to the data producing software application. An updated data stream mapping of the data input into the plurality of data shards is generated by updating a start hash key and an end hash key in a range for each of the data shards assigned to the data producing software application. The updated data stream mapping is sent to the transmitting data interface for adjusting the data capacity in the data stream transmitted over the data stream communication channel of the data producing software application.

Abstract: A natural language processing system that trains task models for particular natural language tasks programmatically generates additional utterances for inclusion in the training set, based on the existing utterances in the training set and the existing state of a task model as generated from the original (non-augmented) training set. More specifically, the training augmentation module 220 identifies specific textual units of utterances and generates variants of the utterances based on those identified units. The identification is based on determined importances of the textual units to the output of the task model, as well as on task rules that correspond to the natural language task for which the task model is being generated. The generation of the additional utterances improves the quality of the task model without the expense of manual labeling of utterances for training set inclusion.

Abstract: A patient interface for delivery of a supply of pressurised air or breathable gas to an entrance of a patient's airways comprising: a cushion member that includes a retaining structure and a seal-forming structure permanently connected to the retaining structure; a frame member attachable to the retaining structure; and a positioning and stabilising structure attachable to the frame member.

Abstract: A patient interface for delivery of a supply of pressurised air or breathable gas to an entrance of a patient's airways comprising: a cushion member that includes a retaining structure and a seal-forming structure permanently connected to the retaining structure; a frame member attachable to the retaining structure; and a positioning and stabilising structure attachable to the frame member.