12results about How to "Reduce learning difficulty" patented technology

The specification provides a language model training method, device and program product. The training process of the language model is divided into multiple learning stages. The language model training method comprises: generating multiple constraint conditions for original question samples; based on the original question samples and the corresponding multiple constraint conditions, constructing multiple constraint question samples containing different numbers of constraint conditions; in each learning stage, generating a training set based on all the constructed constraint question samples; each learning stage corresponds to a target number, and the target number increases accordingly as the learning stage progresses; in the training set, the proportion of constraint question samples with the target number of constraint conditions is higher than that of other constraint question samples; training the current language model of each learning stage based on the training set of the learning stage; wherein, from the second learning stage, the current language model of any learning stage is the language model trained in the previous learning stage.

This disclosure provides a method for deploying a neural network model, an inference method, and an electronic device. The deployment method includes: determining the chip platform corresponding to the neural network model; compiling a platform-level dynamic library and a device-level dynamic library corresponding to the chip platform, wherein the device-level dynamic library is configured to provide a first set of interfaces to the platform-level dynamic library, and the first set of interfaces is configured to call hardware-related interfaces of the chip platform; the platform-level dynamic library is configured to provide a second set of interfaces to the application layer, and the second set of interfaces is configured to call the first set of interfaces of the device-level dynamic library; and deploying the neural network model, the platform-level dynamic library, and the device-level dynamic library to the chip platform. This disclosure improves model deployment efficiency.

This utility model discloses an automatic testing system for flight controllers, relating to the field of unmanned aerial vehicle (UAV) technology. It includes a control unit, a sensor unit, a storage unit, a detection unit, a power supply unit, a display unit, an input unit, and an interface unit. The control power supply includes a master MCU and a slave MCU. The control unit is connected to the sensor unit, storage unit, detection unit, power supply unit, display unit, input unit, and interface unit. The sensor unit includes a compass, a barometer, and an IMU, and is connected to the detection unit. The storage unit contains a TF card. This utility model eliminates the need for additional instruments, reducing the cost of purchasing equipment. Furthermore, only the automatic testing system needs to be learned, reducing the learning difficulty and manual training costs for workers. Simultaneously, the flight controller is connected to the system via a single cable, reducing connection difficulty and shortening testing time from approximately 2 hours to about 10 minutes.

The application relates to the technical field of medical teaching, in particular to a proximal humerus fracture Neer classification teaching system and method, wherein the system comprises: a data mapping module, which is used for automatically identifying a finger state and analyzing the finger state into a fracture displacement parameter of corresponding proximal humerus anatomical structure according to a mapping relationship; and a rendering simulation module, which is used for driving a three-dimensional proximal humerus fracture model according to the fracture displacement parameter, superimposing the three-dimensional proximal humerus fracture model on the fingers or presenting the three-dimensional proximal humerus fracture model in a virtual space for rendering simulation in a visual environment. The application simulates fracture displacement according to a mapping relationship and a gesture rule by establishing a mapping relationship between the fingers and the anatomical structure, converts abstract medical classification into physical actions that can be personally perceived and operated by learners, and thus greatly reduces learning difficulty and improves understanding depth and memory persistence.

This utility model belongs to the technical field of casting equipment, and relates to an arc-shaped plate transverse stacked box casting structure, including an upper sand box and a lower sand box that cooperate with each other. The lower sand box has a horizontal sprue on its parting surface. The upper sand box contains a first sand core and several second sand cores stacked together. Each second sand core has a casting cavity for forming the casting, and a lettering core is placed within the casting cavity to form a mark on the casting. The second sand core has an ingate that connects to the horizontal sprue. The upper sand box also has a sprue that connects to the horizontal sprue. A pouring cup is placed on the top surface of the upper sand box, and the outlet of the pouring cup connects to the upper inlet of the sprue. This utility model is easy for workers to operate, has a low learning curve, saves effort, improves production efficiency, is safe to use, reduces safety hazards, and effectively solves the problem of low yield caused by one-piece casting per box process, thus improving production efficiency.

This invention discloses a macrophage digestion solution and a method specifically for macrophage digestion, comprising the following components: 3-6 parts ethylenediaminetetraacetic acid (EDTA), 4-8 parts ethylene glycol bis(2-aminoethyl ether)tetraacetic acid (EDTA), 8-12 parts fetal bovine serum (FBS), and 90-100 parts phosphate buffer. The method specifically for macrophage digestion includes the following steps: preparing a stock solution of digestion solution, filtering it, and storing it at low temperature for 6 months to obtain the macrophage digestion solution; adding the macrophage digestion solution to a macrophage culture flask; shaking the macrophage culture flask containing the digestion solution to ensure even coverage; adding DMEM culture medium to the settled macrophage culture flask to neutralize the digestion solution, and transferring it to a centrifuge tube; centrifuging the solution in the centrifuge tube at room temperature for 3 minutes; and adding DMEM culture medium to the centrifuge tube after centrifugation to complete the macrophage digestion. This invention achieves high macrophage digestibility and low differentiation rate.

This invention relates to the field of intelligent decision-making technology, and discloses a search result ranking method, apparatus, device, and medium, comprising: receiving a search request sent by a user terminal and determining the corresponding search object; acquiring the first initial profile features of the current user, the behavioral features of the current user clicking on the search object, and the second initial profile features of all search objects; converting the continuous variables in the first and second initial profile features into dispersed variables to obtain the first target profile features and the second target profile features, respectively; calculating the click probability of each search object based on the first target profile features, behavioral features, second target profile features, and current search object features using a trained search prediction model; sorting the search objects according to their click probabilities from high to low, and selecting a specified number of the top-ranked search objects as search results. This method can accurately calculate the click rate of search objects and has good search result prediction capabilities.

This utility model relates to a simple geometry learning aid device, comprising two wooden boards; the two wooden boards are hinged together, and a digital angle ruler is installed on the front side of one of the wooden boards. At least two horizontal tubes are rotatably connected to the upper surfaces of both wooden boards. A scale is provided on the lower surface of each wooden board, and a groove is formed inside the scale along its length. Two fixed components are slidably connected inside the groove. A common pull rope is connected to the outer sides of the two fixed components, and a common zipper is also provided on the outer sides of the two fixed components. This simple geometry learning aid device can simultaneously demonstrate the teaching of plane analytic geometry and solid geometry, transforming abstract geometric knowledge into intuitive graphics and operable processes. It helps students better understand the definitions and characteristics of conic sections such as circles, ellipses, and hyperbolas, as well as the relationships between lines, lines and planes, and planes in solid geometry, reducing learning difficulty and improving learning efficiency.

The present application relates to a new type of electronic music pipe, which is innovatively designed on the basis of traditional electronic blowing pipe, characterized by a blow nozzle-free structure, which completely changes the playing method and sanitary conditions, significantly reduces the requirement for breath control, and greatly widens the range of applicable people; the button layout is designed rigorously, the note buttons and auxiliary buttons are distributed reasonably, the layout of the left and right hand areas is convenient for players with different habits to operate, the note buttons are integrated with a force sensor, which is installed at the bottom of the button or below the circuit board, senses the playing force, and further realizes multi-dimensional control of the volume and timbre of the music, and gives the player rich expression; it has professional karaoke function, creates diverse musical atmosphere with the help of advanced audio synthesizer and multi-channel output instrument chip; the internal function corresponding table is open, and the functions of the buttons and voice commands can be personalized set; the electronic music pipe reduces the learning threshold, enriches the music performance, promotes music innovation and technological progress, and widens the application scenarios.

The utility model relates to a kind of casting pouring structure with small hole, including the upper box and lower box of being connected, mud core assembly and pouring structure are equipped in upper box and lower box, and the casting cavity between upper box casting cavity, lower box casting cavity, mud core assembly is casting cavity, and pouring structure communicates casting cavity;Pouring structure includes air outlet and sequentially communicated straight sprue, cross gate, inner gate, straight sprue upper end communicates sprue cup, and inner gate communicates casting cavity bottom, and casting cavity top communicates air outlet;Mud core assembly includes the casting mud core and the mould release mud core of symmetrical arrangement, small hole core bracing component is installed on casting mud core, small hole core bracing component includes the core head and small hole core bracing rod of being connected, and small hole core bracing rod other end is connected with casting mud core;Small hole core bracing rod middle is small hole core bracing part.The utility model effectively solves the problem that the shape of casting is affected by the fracture of sand core in weak wall thickness due to low strength.

The application discloses a kind of automatic wharf horizontal transport equipment dirty detection method and device, construct first level convolutional neural network for detecting IGV from image and second level convolutional neural network for detecting dirty area from IGV, first level convolutional neural network and second level convolutional neural network are constructed into double-branch cascade detection model, the original image obtained from the automatic wharf operation scene is input as the double-branch cascade detection model, and the first level convolutional neural network identifies IGV from complex scene, and outputs the image labeled IGV boundary box, according to the boundary box, IGV subgraph containing only IGV image is cut out from image, so as to remove background interference and transmit to second level convolutional neural network, and second level convolutional neural network focuses on detecting dirty area from IGV subgraph, so as to improve the detection efficiency and detection precision of IGV dirty area.

This invention relates to a progressive fusion method for medical images based on learning how to optimize paradigms, belonging to the field of medical image processing technology. It aims to solve the problems of difficult optimization, poor modal adaptability, and low inference efficiency in traditional end-to-end fusion methods. The method first converts multimodal medical images from RGB to YCbCr color space and extracts the luminance component. An initial fusion image is generated by projecting the pixel-level maximum value, and an initial triplet state is constructed and stored in a memory playback pool. A fusion flow estimation network samples the state from the memory pool to predict pixel change flow. After iteratively training the network, the trained network is used to progressively optimize the initial fusion image. Finally, the chrominance components are concatenated and converted back to RGB space to obtain the fusion result. This invention models fusion as a dynamic trajectory optimization problem, combining the memory playback mechanism and flow matching theory, reducing the learning difficulty of the network, mitigating differences between modal domains, achieving controllable fusion direction and smooth, continuous trajectory. Accurate fusion can be completed with very few iterations, balancing fusion accuracy, model generalization ability, and inference efficiency, meeting the high efficiency and reliability requirements of clinical diagnosis.