Abstract: A robotic singulation system is disclosed. In various embodiments, sensor data including image data associated with a workspace is received. The sensor data is used to generate a three dimensional view of at least a portion of the workspace, the three dimensional view including boundaries of a plurality of items present in the workspace. The three dimensional view as generated at successive points in time is used to model a flow of at least a subset of said plurality of items through at least a portion of the workspace. The model is used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workplace and place each item singly in a corresponding location in a singulation conveyance structure.

Abstract: A first portion of a physical layer (PHY) preamble of a PHY data unit is generated for transmission via a communication channel that comprises a plurality of sub-channels. A first portion of the PHY preamble is generated to include a legacy portion and a plurality of first non-legacy signal fields spanning the respective sub-channels. A second portion of a PHY preamble that immediately follows the first portion of the PHY preamble of the PHY data unit is generated to include: a non-legacy short training field spanning all sub-channels in the plurality of sub-channels, a plurality of non-legacy long training fields immediately following the non-legacy short training field, each non-legacy training field spanning all sub-channels in the plurality of sub-channels, and a second non-legacy signal field immediately following the plurality of non-legacy long training fields, the second-legacy signal field spanning all sub-channels in the plurality of sub-channels.

Abstract: Systems and methods are provided to improve candidate search and measurement in non-standalone (NSA) and standalone (SA) 5G new radio (NR) multi-radio access technology (RAT) environments. For Evolved Universal Terrestrial Radio Access Network (E-UTRAN) NR-dual connectivity (EN-DC), a user equipment (UE) skips 5G band measurements for an initial search or an out-of-service (OOS) search. For SA dual connectivity, the UE avoids 5G remaining band (RBS) scans and limits 5G deviated band search (DBS) scans to bands configured for the carrier.

Abstract: A fifth-generation core network (5GC) provides 5G radio access network (RAN) services to a user equipment (UE) in a time-sensitive communications (TSC) network (TSN). This includes receiving a protocol data unit (PDU) session establishment request from the UE, the PDU session establishment request including an industrial Internet of Things (IIoT) vertical or application type, identifying a TSN application function (AF) relating to the IIoT vertical or application type, determining quality of service (QoS) parameters for communications between the UE and the 5G RAN based on the identified TSN AF, the QoS parameters including a survival time for the IIoT vertical or application type and establishing a PDU session with the UE when the QoS parameters including the survival time are satisfied.

Abstract: The disclosed technology relates to intent driven network management. A system is configured to maintain an inventory store comprising records for a set of network entities in a network, wherein each network entity in the set of network entities is associated with a record in the inventory store. The system receives a user intent statement comprising an action and a flow filter representing network data flows on which the action is to be applied and queries, based on the flow filter, the inventory store to identify a plurality of network entities in the set of network entities to which the user intent statement applies. The system generates a plurality of network policies that implement the user intent statement based on the plurality of network entities and the action and enforces the plurality network policies.

Abstract: Systems and methods are disclosed for generating a prediction on chargeback representment based on probability data and/or results from a plurality of machine learning models. The method includes receiving data associated with at least one disputed transaction for at least one user, wherein the received data includes user-specific information and/or merchant-specific information. The received data is processed to calculate a probability of success in a chargeback representment for the at least one disputed transaction. A prediction is calculated based, at least in part, on the probability of success, one or more results from a plurality of machine learning models, or a combination thereof. A presentation is generated of at least one recommendation on the chargeback representment based, at least in part, on the prediction in a user interface of at least one device associated with the at least one user.

Abstract: A system includes Referential Global Positioning System (RGPS) base stations, servers and mobile devices. Each RGPS station includes: (i) global navigation satellite system (GNSS) receivers and antennas for receiving GNSS geolocation data, Cellular Location Technology (CLT) geolocation data, Wi-Fi Positioning System (WPS) geolocation data; (ii) a data processor for positioning error correction, and signal processing; and (iii) a transmitter for transmitting the error corrections and processed GPS data to the servers. The servers (i) receive, aggregate, and store, the GNSS, CLT, and Wi-Fi error corrections and processed GPS data, and (ii) transmit the location-specific GPS data to any mobile device in proximity. Each mobile device calculates a calculate a highly accurate location of the mobile device by obtaining and combining the location-specific GPS data from a RGPS server, and device-specific geolocation data from a GNSS sensor, a CLT sensor and a WPS sensor, on the mobile device.

Abstract: A data storage device and method for host-determined proactive block clearance are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to receive a command from a host that specifies a parameter of an upcoming burst mode; and in response to receiving the command, proactively perform a garbage collection operation according to the parameter to create available storage space in the memory to store data from the host during the upcoming burst mode. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: Embodiments of the present disclosure relate to methods for fabricating optical devices. One embodiment of the method includes disposing a structure material layer on a surface of a substrate and disposing a patterned photoresist over the structure material layer. The patterned photoresist has at least one device portion and at least one auxiliary portion. Each device portion and each auxiliary portion exposes unmasked portions of the structure material layer. The unmasked portions of structure material layer corresponding to each device portion and each auxiliary portion are etched. The etching the unmasked portions forms at least one optical device having device structures corresponding to the unmasked portions of at least one device portion and at least one auxiliary region having auxiliary structures corresponding to the unmasked portions of at least one auxiliary portion.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Abstract: This disclosure describes threat detection monitoring of systems executing in environments (consisting of hosts, networks, and/or applications, etc.), e.g., service provider networks, using trained deep learning/machine learning (ML) models. The models may be trained in one or more stages in simulators within a service provider network, e.g., the cloud, and/or in a simulator located in an on-premises environment, as well as on systems executing within the network. The models may be trained without relying on any security device/feature being configured or enabled, or with such security device/features being configured or enabled.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (ML) personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

Abstract: This invention discloses the ability to automatically have portions of content that match the results for a search term(s): be highlighted. This saves users a lot of time when trying to find information of interest to them. It is especially delightful for users to automagically have this ability available without having to install any additional software components to their computing devices.

Abstract: A system and method for automation of task identification and control in a software lifecycle. Software context for a software asset is extracted from context repositories of the software asset during software development and operation, the extracted context data is matched to relevant tasks in a knowledge database to select tasks for the software asset, and task prioritization and orchestration are presented in a prioritized task list during a software lifecycle.

Abstract: The present disclosure provides method, computing device readable medium, and devices for dental appliances with repositioning jaw elements. An example of a removable dental appliance includes a shell having a number of tooth apertures configured to receive and reposition a number of teeth of a patient along one jaw of a patient, a repositioning jaw element that extends from a buccal or lingual surface of the shell, the element having a first outer surface oriented to face the tongue of the patient surface and a second outer surface oriented to face the cheek of the patient, and a reinforcement member formed along at least one of the first and second outer surfaces to provide reinforcement of the repositioning jaw element.

Abstract: Methods and systems include beamformed wireless communications to and from a user equipment electronic device. During operation of the user equipment electronic device, a change in slot aggregation is made. Using the aggregated slots, the user equipment electronic device and/or a wireless network utilize beam sweeps to determine a best beam pairing by repeating a shared channel in the aggregated slots with a beam sweep of multiple beams between the user equipment electronic device and the wireless network.

Abstract: In some examples, extended reality based immersive project workspace creation may include obtaining sensing data from at least one sensor of a device worn by a user, and analyzing, based on the sensing data, an environment of the user. A plurality of insights associated with the user may be determined, and prioritized based on a plurality of prioritization criteria. An insight of the plurality of prioritized insights associated with the user may be rendered in the environment of the user. Further, the rendering of the insight may be controlled based on an interaction of the user with the rendered insight.

Abstract: A system and methods are provided for an emergency support system installed in light poles. Each emergency support system continuously monitors for motion to identify anomalous motion activity on a local level. In response, a notification is sent to a base station that provides a global analysis by collecting motion data from nearby emergency support systems. An alert is generated if anomalous motion is detected across multiple emergency support systems.

Abstract: In some examples, a duster comprises peer nodes and a distributed data store implemented across the peer nodes, a method of remote linking of data objects for data transfer between a first node cluster and a second node cluster among the peer nodes; the method comprising: creating a data object group including multiple remote data objects, wherein a plurality of remote data objects in the data object group represent a same first virtual machine and are registrable on at least the first and second node clusters of the peer DMS nodes; creating or identifying remote links to a plurality of the remote data objects in the data object group; designating a member of the data object group as an active member of the group; and assigning a task to the active member to be completed using remote links.