Abstract: The present technology improves points-of-interest (POIs) in applications by the gathering and use of data available from various sources to improve metadata of POIs in applications (e.g., map applications) or any other metadata or information that may be of interest to a user regarding any given POI. The present technology resolves transactions to POIs or Brands (in a map application, for example) and improves, updates, creates, and removes POls/Brands. The present technology can also gain a clear name, granular and correct categorization, a URL, phone/chat contact info, etc. of the transactions.

Abstract: Systems and methods for configuring a network security device. The methods include deploying a network security device on a network, wherein the network security device includes a network security device interface; accessing, via the network security device interface, a first cloud-based computing platform configured to request from a first library metadata associated with a first network resource on the first cloud-based computing platform; receiving at the network security device interface the metadata associated with the first network resource; and configuring the network security device in accord with the metadata associated with the first network resource.

Abstract: Video decoding systems and techniques are described. In some examples, a decoder applies a first filter to a plurality of sub-blocks of a block of the video data to generate a filtered plurality of sub-blocks. The plurality of sub-blocks are less than an entirety of sub-blocks within the block. The decoder also applies the first filter to at least one line of pixels in an additional sub-block of the block to generate a filtered portion of the additional sub-block. The at least one line of pixels in the additional sub-block is filtered using the first filter without filtering an entirety of the additional sub-block using the first filter. The additional sub-block is adjacent to at least one of the plurality of sub-blocks. The decoder applies a second filter to the filtered plurality of sub-blocks and the filtered portion of the additional sub-block to generate a second filtered plurality of sub-blocks.

Abstract: Disclosed are techniques for drive trajectory prediction. In one or more aspects, an ego vehicle applies a machine learning model to one or more agent tensors and one or more map tensors associated with a target vehicle to obtain a lane change classification label representing a predicted lane change intention of the target vehicle on a multi-lane highway, wherein the predicted lane change intention includes at least a lane change classification, and performs a driving maneuver based on the predicted lane change intention.

Abstract: An example method includes registering, at a network function repository function (NRF) of a telecommunications network, a producer network function, including receiving a first transport layer security (TLS) version for the producer network function; providing, by the NRF, the first TLS version of the producer network function to a consumer network function in a network function discovery response; and establishing, by the consumer network function, a service based interface (SBI) communication with the producer network function based on the first TLS version and a second TLS version for the consumer network function.

Abstract: Disclosed are techniques for drive trajectory prediction. In one or more aspects, an ego vehicle applies a machine learning model to one or more agent tensors and one or more map tensors associated with a target vehicle to obtain a predicted drive intention of the target vehicle at a roadway intersection, wherein the predicted drive intention comprises a turn classification, a flow classification, or both, and a driving maneuver based on the predicted drive intention.

Abstract: Aspects of this technical solution can include identifying an NFT linked with a first public and private key pair associated with the source account, having a transfer property indicating that the NFT is transferable from the source account, having a value property denominated in fiat currency, and having a volatility metric based on one or more requests to transfer the NFT prior to or concurrently with the request, transferring the NFT from the first public and private key pair to a second public and private key pair linked with the NFT transaction processor and associated with an institution account of the financial institution, generating a third public and private key pair linked with the second customer computing device and associated with the recipient account, and transferring the amount of currency from the second public and private key pair to the third public and private key pair.

Abstract: A 3-dimensional tracking and navigation simulator system for image guided neuro-endoscopy, said system comprising: a fiducial based physical model of an anatomic region associated with neuro-endoscopy, wherein the physical model is mapped with CT/MRI slices of the anatomy; a virtual model of the anatomic region associated with neuro-endoscopy; at least one surgical instrument operable to perform neuro-endoscopy, said at least one surgical instrument is associated with a 3-D tracking component; a camera unit for tracking a location of the at least one surgical instrument with the 3-D tracking component, relative to a reference unit of the physical model; one or more displays for displaying the location of the at least one surgical instrument in the CT/MRI slices and endoscopic output, a computer work-station operably coupled to the physical model, and the camera unit, said work-station comprising: a localization and tracking module having configured to track the tasks performed by a user with the at least one

Abstract: The present technology includes vertical cell dynamic random-access memory (DRAM) arrays with improved floating body effect. The arrays include one or more bit lines arranged in a first horizontal direction and one or more word lines arranged in a second horizontal direction. The arrays include one or more channels extending in a vertical direction generally orthogonal to the first direction and the second horizontal direction, such that the bit lines intersect with a source/drain region of the plurality of channels, and the word lines intersect with gate regions of the plurality of channels. Arrays include where the source/drain region includes a low bandgap material, where the low bandgap material exhibits a bandgap less than a bandgap of a channel material.

Abstract: A physical layer (PHY) is coupled to a serial, differential link that is to include a number of lanes. The PHY includes a transmitter and a receiver to be coupled to each lane of the number of lanes. The transmitter coupled to each lane is configured to embed a clock with data to be transmitted over the lane, and the PHY periodically issues a blocking link state (BLS) request to cause an agent to enter a BLS to hold off link layer flit transmission for a duration. The PHY utilizes the serial, differential link during the duration for a PHY associated task selected from a group including an in-band reset, an entry into low power state, and an entry into partial width state.

Abstract: The invention relates to a non-aqueous electrolyte composition comprising one or more sodium-containing salts and a solvent system which comprises a first component which comprises one or more glyme-based solvents and a second component which comprises additives. The invention further relates to an anode-free sodium cell comprising said non-aqueous electrolyte compositions.

Abstract: A motor vehicle pane having a glass pane. An anti-shatter composite substrate has at least two anti-shatter films firmly attached to the glass pane. The disclosure further relates to a motor vehicle having such a motor vehicle pane.

Abstract: A method for checking of asset protection infrastructure includes: receiving a request specifying an asset source, an asset, and a target storage; performing a check of the asset source to obtain an asset source configuration state; performing a second check of the target storage to obtain a target storage configuration state; extracting an asset source connection attempt result from the asset source configuration state; extracting a target storage connection attempt result from the target storage configuration state; making a determination that the asset source connection attempt result and target storage connection attempt result both reflect a successful result; performing, based on the determination, an asset backup configuration check of a backup operation involving the asset to obtain an asset backup configuration state; generating a response including the asset source configuration state, asset backup configuration state, and target storage configuration state; and returning the response in response to

Abstract: Systems and methods for receiving an enterprise resource dataset associated with a customer from an enterprise application associated with the customer, the enterprise resource dataset including a plurality of financial inputs captured on or before a first date, a plurality of customer recommendations, and a plurality of recommendation replies, receiving, from a first machine learning model, a predicted customer state including one or more predicted financial outputs corresponding with the predicted customer state at a second date subsequent to the first date, providing the plurality of financial inputs to a second machine learning model trained to predict a customer recommendations, determining, a customer recommendation corresponding to an action to be performed at a third date subsequent to the first date, wherein performing the action causes the first machine learning model to predict an updated customer state differing from the predicted customer state.

Abstract: A system (SYS) and related method for facilitating collimator adjustment in X-ray imaging or a radiation therapy delivery. The system comprises an input interface (IN) for receiving input data including i) an input image and/or ii) user input data including a partial collimator setting for a collimator (COL) of an X-ray imaging apparatus (IA). A collimator setting estimator (CSE) of the system computes a complemented collimator setting for the collimator based the input data. Preferably, the system uses machine learning.

Abstract: A system implemented as computer programs on one or more computers in one or more locations that implements a computer vision model is described. The computer vision model includes a positional local self-attention layer that is configured to receive an input feature map and to generate an output feature map. For each input element in the input feature map, the positional local self-attention layer generates a respective output element for the output feature map by generating a memory block including neighboring input elements around the input element, generates a query vector using the input element and a query weight matrix, for each neighboring element in the memory block, performs positional local self-attention operations to generate a temporary output element, and generates the respective output element by summing temporary output elements of the neighboring elements in the memory block.

Abstract: An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising: evaluating, using a price band determination model, degrees of expensiveness of items relative to each other in item type categories; generating, using the price band determination model, price bands associated with item type categories; assigning each of the items to a respective one of the price bands associated with a respective one of the item type categories; and presenting, to one or more end-user applications, at least one other item corresponding to at least one of the price bands associated with at least one of the item type categories. Other embodiments are disclosed.

Abstract: Methods and systems disclosed herein describe tokenizing data to generate a secure token that is limited in scope (e.g., directed to a specific recipient) and limited in time (e.g., valid for only a specified period of time). A detokenization process may be employed to recover encrypted data of the secure token without the need for any relational database lookup processes, thereby reducing cost while maintaining robust protection against unintended recipients that attempt to recover the encrypted data.