Abstract: Vector dataset index parameter determination is performed by obtaining a statistical variance of each vector dataset among a plurality of vector datasets, grouping the plurality of vector datasets into a plurality of vector dataset groups based on the statistical variance, determining, for each vector dataset group, build parameter values, obtaining the statistical variance of a target vector dataset, and applying, to the target vector dataset, the determined build parameter values corresponding to a vector dataset group selected based on the statistical variance.

Abstract: Vector dataset index parameter determination is performed by building an index of a vector dataset according to each build parameter group among a plurality of build parameter groups, generating search parameter groups, submitting each vector query in a vector query set to each index according to the candidate search parameter values from each search parameter group to obtain, for each submission, a result content and a result delay value, obtaining, for each submission, a vector distance between at least one result vector of the result content and the submitted vector query, determining a relative accuracy value for each submission by comparing the vector distance of the result content to the vector distance of at least one other submission, correlating build parameter values and search parameter values with the relative accuracy values and the result delay values, and fixing build parameter values based on the correlating.

Abstract: Methods and modules may comprise obtaining two or more hardware configurations for an accelerator, obtaining two or more first software mappings for the accelerator, executing a series of first simulations for each combination of each of the two or more hardware configurations with each of the two or more first software mappings, wherein power and latency is measured in each of the first simulations, and generating a first robustness metric for each hardware configuration, the robustness metric representing a cross dependency of power and latency in the first simulations. The robustness metric may be used for hardware and software co-exploration to enable a configuration to improved performance for future and/or unseen deep neural network or convolutional neural network applications.

Abstract: Vector dataset index parameter determination is performed by obtaining a statistical variance of each vector dataset among a plurality of vector datasets, grouping the plurality of vector datasets into a plurality of vector dataset groups based on the statistical variance, determining, for each vector dataset group, build parameter values, obtaining the statistical variance of a target vector dataset, and applying, to the target vector dataset, the determined build parameter values corresponding to a vector dataset group selected based on the statistical variance.

Abstract: Vector dataset index parameter determination is performed by building an index of a vector dataset according to each build parameter group among a plurality of build parameter groups, generating search parameter groups, submitting each vector query in a vector query set to each index according to the candidate search parameter values from each search parameter group to obtain, for each submission, a result content and a result delay value, obtaining, for each submission, a vector distance between at least one result vector of the result content and the submitted vector query, determining a relative accuracy value for each submission by comparing the vector distance of the result content to the vector distance of at least one other submission, correlating build parameter values and search parameter values with the relative accuracy values and the result delay values, and fixing build parameter values based on the correlating.

Abstract: The present disclosure relates to the field of computers, and provides an apparatus, a method, and a storage medium for database query, which are applied to a vector database, by acquiring a query request from a user, determining query parameters corresponding to each of multiple shards based on the query request using a preset neural network model, wherein the query parameters control query complexity by affecting a query range of database data of the query request for the corresponding shard; querying database data in each shard based on the query request and the query parameters to obtain a target query result. Accordingly, corresponding query parameters are adjusted for each shard, so that redundant queries are effectively avoided, and database performance is effectively improved.

Abstract: Disclosed are a preparation method for a graphene aerogel array sensor and use thereof. A miniature graphene aerogel array device is prepared by combining in-situ printing and solvent plasticization and foaming, which has excellent flexibility and stability, and is suitable for use in a variety of scenarios, such as sensors, and energy storage devices, etc. The array sensor provided in the present disclosure exhibites extremely high stability, high accuracy and reliability. Combining with deep machine learning, the array sensor can be endowed with the function of learning and recognition of machine intelligence, thus greatly promoting the development of the next generation of artificial intelligence.

Abstract: An example apparatus includes a counter, an analog-to-digital converter, communication circuitry, and control circuitry configurable. The example analog-to-digital converter is configurable to sample a first voltage at a first node on a bus. The example communication circuitry is configurable to set a second node on the bus to a second voltage. Additionally, the example control circuitry is configurable to increment the counter when the first voltage does not satisfy a threshold value and, when the first voltage satisfies the threshold value, assign an address for the device based on a value of the counter.

Abstract: An autonomous mobile robot control method and apparatus, a device and a readable storage medium. An autonomous mobile robot determines a sound source direction according to a voice signal from a user, and determines moving objects around the autonomous mobile robot itself. The autonomous mobile robot determines, from the moving objects, a target object located in the sound source direction, determines a working area according to the target object, and moves to the working area, and executes a task.

Abstract: A method for validating a well test includes receiving historical well test data. The historical well test data includes one or more accepted flags and one or more rejected flags. The method also includes training a machine-learning (ML) model based upon the historical well test data to produce a trained ML model. The method also includes receiving new well test data. The new well test data does not include the one or more accepted flags and the one or more rejected flags. The method also includes determining whether the new well test data meets or exceeds a predetermined validation threshold using the trained ML model.

Abstract: A high-uniformity SiC crystal, a crystal bar, a substrate and a semiconductor device are provided. The SiC crystal is obtained by direct growth through a PVT method without subsequent machining, and includes a facet region and a non-facet region. The facet region is located on an outer-circumference end face of the SiC crystal. A doping concentration change rate of the facet region is 1.5 times or above that of the non-facet region; and/or a carrier concentration change rate of the facet region is 5 times or above that of the non-facet region.

Abstract: A high-quality SiC crystal, a crystal bar, a substrate, a preparation method, and a semiconductor device are provided. The SiC crystal contains a facet region and a non-facet region; and the facet region is located on an outer circumference of the SiC crystal, a distance between an edge of the facet region away from the outer circumference and the outer circumference does not exceed 3% of a diameter of the SiC crystal, and the SiC crystal is obtained by adopting a PVT method through direct growth without subsequent processing. In a subsequent processing process of the crystal, the facet region is eliminated, and the situation that the entire crystal bar and a wafer and substrate processed accordingly have no facet region is implemented with a low cutting loss rate.

Abstract: An atomizer includes: a liquid storage cavity; and an atomization base arranged opposite to and in fluid communication with the liquid storage cavity. An accommodation cavity is arranged in the atomization base, and an air exchange member communicating with an outside is arranged in the accommodation cavity. A first opening is arranged in the atomization base, the first opening being in airflow communication with the air exchange member and the liquid storage cavity.

Abstract: Vector dataset index parameter determination is performed by building an index of a vector dataset according to each build parameter group among a plurality of build parameter groups, generating search parameter groups, submitting each vector query in a vector query set to each index to obtain, for each vector query, a result content and a result delay value, wherein an accuracy value is determined based on the result content, correlating build parameter values and search parameter values with accuracy values and result delay values, fixing build parameter values based on the correlating, and determining a mathematical relationship expressing a correlation of the search depth parameter values, the numbers of requested results, and the accuracy values obtained in response to vector queries submitted to the index having the fixed build parameter values.

Abstract: A method for controlling a laser processing device, a device, and a computer program medium are provided. The laser processing device is equipped with an execution module to execute laser processing. The method includes the following. An intervention is sensed during the laser processing performed by the laser processing device. The execution module is controlled to switch a laser output to a weak light output in response to the intervention, where a power of a weak light is less than a reference laser power of the laser processing.

Abstract: A power supply circuit, a driving method thereof, a printed circuit board, a display module and a display apparatus are disclosed, which relates to a technical field of displaying. The power supply circuit includes a first power management chip and a second power management chip configured to be respectively connected with a display panel and provide different driving signals to the display panel, and the driving signals are configured for driving the display panel to display.

Abstract: In the present invention, a multi-stage foam sound-absorbing black body material is provided for the first time. A graphene aerogel is introduced into a commercialized polymer foam skeleton by using a solvent plasticizing and foaming technology, so as to embed ultra-thin graphene drums in the foam skeleton. When sound waves enter the foam black body, a large number of graphene drums generate a severe resonance effect, thereby rapidly achieving attenuation of the sound waves, and combined with the friction loss of the porous structure of the polymer foam on the sound waves, excellent sound-absorbing performance is achieved in a wide frequency range. The present solution is provided on the basis of commercialized foam materials, has a simple method, low costs, and the potential of wide industrial application.

Abstract: A method and system for networking of spliced building blocks, and the spliced building blocks applicable to wireless networking are provided.

Abstract: A method for preparing nanomaterial macroscopic composites through substrate heating and solvent evaporation is provided, and the method includes setting a substrate, and preparing a reaction precursor solution required for the synthesis of nanomaterials; evenly dropping a small volume of the precursor solution on/in the substrate; performing a heating method to make the substrate generate a heat and transferring the heat to the precursor solution on/in the substrate; after a period of time, terminating the heating of the substrate to finish the synthesis, removing and cleaning the substrate, thus obtaining corresponding nanomaterial macroscopic composites.