Abstract: Embodiments of the present invention provide an approach for compressing data, and more particularly, to large-scale text data encoding and compression using absolute overfitting on pre-trained language models. Large-scale data is parsed into sentences. A unique token is generated for each sentence to form a token list. A generative (or compression) model is trained from the tokens in the token list to produce the corresponding sentence of each token through absolute overfitting of a pre-trained language model. The compressed text data is stored as the token list and generative model, resulting in a storage space savings.

Abstract: Mechanisms are provided for automatically predicting vehicle weight of a moving vehicle. Vehicle operation data is obtained from one or more on-board sensors/systems of the vehicle and features are extracted. The features are filtered based on a required working condition of the vehicle to identify intervals of features having valid feature data to thereby generate a filtered valid data. The filtered valid data is processed by a first artificial intelligence (AI) computer model based on time slices of the filtered valid data to generate a first prediction of vehicle weight, and by a second AI computer model based on buckets of key variables to generate a second prediction of vehicle weight. The first prediction is fused with the second prediction to generate a final prediction of vehicle weight which is output to downstream computing logic.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for determining a measurement target, a device, and a medium. The method for determining a measurement target, applied to a terminal device, includes: receiving configuration information from a network side device, where the configuration information includes that a parameter reportQuantity of a Channel State Information (CSI) report is set to null, and the configuration information is used by the terminal device to determine the measurement target, where the measurement target includes a Signal to Interference plus Noise Ratio (SINR) or a Reference Signal Received Power (RSRP); and determining the measurement target according to the configuration information.

Abstract: An electronic device including a panel. The panel includes a first substrate, a second substrate opposite to the first substrate, a medium layer between the first substrate and the second substrate, first electrodes between the first substrate and the medium layer, connecting lines between the second substrate and the first electrodes, and a conductive spacer. The first electrodes include a connecting first electrode and an adjacent first electrode. The connecting lines include a first connecting line and a second connecting line. The conductive spacer is electrically connected to the connecting first electrode and the first connecting line. The second connecting line is adjacent to the first connecting line. The conductive spacer is separated from the second connecting line by a third space S3. The third space S3 is greater than or equal to 3 ?m and less than or equal to 50 ?m.

Abstract: The present disclosure, in some embodiments, relates to a method of forming an integrated chip structure. The method includes forming a first dielectric bonding layer over a first dielectric structure, which is disposed on a first substrate and surrounds a first plurality of interconnects. The first dielectric bonding layer is patterned to form a first recess exposing one of the first plurality of interconnects. A first conductive bonding segment is formed within the first recess. A second dielectric bonding layer is formed over a TSV extending through a second substrate. The second dielectric bonding layer is patterned to form a second recess exposing the TSV. A second conductive bonding segment is formed within the second recess. The first substrate is bonded to the second substrate along an interface comprising dielectric and conductive regions. The conductive region includes a conductive interface between the first and second conductive bonding segments.

Abstract: From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.

Abstract: Systems and methods for generating user insights include obtaining a query about a user interaction with a software application. The query can be in the form of a natural language question. Embodiments then select a task from a plurality of event prediction tasks based on the query. Next, embodiments generate, using a machine learning model, an event prediction based on the query and the task, where the machine learning model is trained to predict an event based on a sequence of user interactions with the software application. Embodiments then generate a natural language response to the query based on the task and the event prediction.

Abstract: Embodiments of the present invention provide a beam failure recovery method, a terminal, and a network device, where the beam failure recovery method includes: measuring a BFD RS; where the BFD RS corresponds to a plurality of pieces of first object information, and the first object information includes at least one of the following: a TRP identifier, CORESETPoolIndex information, a group identifier, a cell identity, and a PCI; determining a target event based on a measurement result of the BFD RS; and sending BFRQ information.

Abstract: A method for beam management in an unlicensed band, a terminal device, and a network device are provided. The method includes: receiving, by a terminal device, a reference signal resource from a network device; measuring, by the terminal device, the reference signal resource in the unlicensed band, to obtain a beam measurement result; and sending, by the terminal device using an uplink resource for transmitting a beam report, the beam report comprising the beam measurement result.

Abstract: A signal to interference plus noise ratio measurement method, a network side device, and a medium are provided. The signal to interference plus noise ratio measurement method includes sending configuration information to a terminal. The configuration information comprises information of a Reference Signal (RS) resource used for a Signal to Interference plus Noise Ratio (SINR) measurement. The quantity of measurement times of the RS resource in the SINR measurement meets a preset rule.

Abstract: A photovoltaic system and a communication method therefor. The communication method includes: each slave sends a report signal to a host, and monitors a response signal of the host; and if the at least one slave receives the response signal, the corresponding slave executes a corresponding action on the basis of the response signal. Therefore, communication between the host and each slave is achieved in a mode that each slave actively sends the report signal, the host is prevented from adopting a roll call query mode, and occupation of bus resources by the host is reduced.

Abstract: The present disclosure provides a tire building method and a mechanical drum. The tire building method includes: step S1: controlling an attaching mechanism to roll a bead filler to attach the bead filler to a tire carcass; step S2: while attaching the bead filler or during a process of attaching the bead filler, controlling a turn-up mechanism to roll a sidewall so as to attach the sidewall to the tire carcass. The tire building method according to the present disclosure solves problems of long time of building the tire and low efficiency of building the tire in the related art.

Abstract: This disclosure describes a verification service within a service provider network for automatically verifying and validating documents. A user may upload a document image to the verification service. A pre-processing service may pre-process the document image. The pre-processed document image may then be forwarded to a first machine learning ML model for similarity evaluation. Once the first ML model has completed its evaluation of the document image, the first ML model may forward the document image to a second ML model for symbol recognition, which may then forward the business license to an optical recognition (OCR) service for OCR validation. If the document image is validated, e.g., is an image of a purported document type, as will be discussed further herein, the publishing service may pre-populate, e.g., publish, information from the document image to an account template.

Abstract: Embodiments described herein use deep learning to automate measurement of key morphokinetic embryo features associated with viability and quality, in particular those relevant for clinical in-vitro fertilization (IVF). Systems and methods may, for example, acquire one or more digital images of one or more embryos; select one or more embryos in each digital image; and for each selected embryo, (i) computationally characterize the zona pellucida, detect the degree of fragmentation in the embryo, and for each embryo with a low fragmentation score, computationally classify the embryo's developmental stage based on whether cells constituting the embryo exceed a threshold number (e.g., nine). For an embryo consisting of a single cell, pronuclei may be detected and counted. Based on these measurements, a viability score may be assigned to the embryo.

Abstract: A measurement assistance system and method are provided. The measurement assistance system includes: a measurement platform, having an operation area configured for a to-be-measured object and a measurement tool to be placed; a camera, arranged on the measurement platform and configured to obtain a measurement image; and a server module, electrically connected to the camera and configured to execute a measurement tool identification program, a measurement part identification program, and a measurement posture identification program according to the measurement image, and determine whether a measurement tool appearance image, a measurement part image, and a measurement posture image are correct. The server module has a processing unit. When the measurement tool appearance image, the measurement part image, and the measurement posture image are all correct, a measurement result is generated according to measurement data.

Abstract: An embodiment of an adaptive video encoder may determine headset-related information including at least one of focus-related information and motion-related information and determine one or more video encode parameters based on the headset-related information. The adaptive video encoder may also encode a macroblock of a video image based on the one or more determined video encode parameters. Other embodiments are disclosed and claimed.

Abstract: Information extraction and image restructuring includes generating semantic vectors to encode portions of text extracted from a document. For each semantic vector a semantic similarity between a schema key and other text encoded therein is determined based on their respective positions within the document. An enhanced NLP model is created using the semantic vectors, each labeled according to the semantic similarity. The text, including schema key, are re-encoded as a key and candidate vectors. Key-value pairs are generated by matching the key vector with a predetermined number of candidate vectors. The enhanced NLP model, using prompt learning, is repurposed to perform a next-sentence prediction that predicts which of the candidate vectors is logically related to the schema key. Based on the next-sentence prediction, the discrete portion of text identified as the schema key and portion of text determined to be logically related thereto are output.

Abstract: A magnetic component is provided. The cross-sectional area of each lateral core part of the magnetic component is less than or equal to the cross-sectional area of the first middle core part. The magnetic component generates nonlinear inductance variations at different currents for achieving different coupling coefficients. Consequently, when the magnetic component operates at low current, the magnetic component maintains a non-coupled high inductance. On the other hand, when the magnetic component operates at high current, the magnetic component achieves high saturation and reduced inductance by the lateral core parts of the magnetic component. Simultaneously, the coupling degree is increased automatically, the AC current peak is reduced, and the magnetic flux is evenly distributed on the upper cover core part or the lower cover core part. Consequently, the magnetic component has advantage of reducing the component loss and the conduction loss in the power supply.

Abstract: A device and a method for metal preparation by electro-reduction of a molten salt are provided. The device includes a reactor, an electrical conductor, a power supply, a gas charging and discharging mechanism, and a closure mechanism; the reactor is a barrel body with a conductive base plate and an insulated peripheral wall and opens at one end, a barrel cavity of the reactor is configured to lay down a reactant and a molten salt substance; the electrical conductor is configured to be inserted into the molten salt substance; the reactor and the electrical conductor are disposed inside the closure mechanism; a positive pole of the power supply is electrically connected to the electrical conductor, and a negative pole is electrically connected to the conductive base plate; the gas charging and discharging mechanism is configured to continuously charge a protective gas into the reactor while removing an exhaust gas.

Abstract: A method for forming a high electron mobility transistor includes the steps of providing a substrate, sequentially forming a buffer layer, a channel layer, a barrier layer, and a semiconductor gate layer on the substrate, forming a metal gate layer on the semiconductor gate layer, forming an insulating layer on the barrier layer, the semiconductor gate layer, and the metal gate layer and a passivation layer on the insulating layer, forming an opening through the passivation layer and the insulating layer to expose the metal gate layer, and forming a gate electrode on the passivation layer and filling the opening.