56 results about "Memory training" patented technology

The invention discloses a multi-modal English learning interaction system and a vocabulary memory training method, and relates to the technical field of English learning, the system comprises the following components: a data acquisition module, a data analysis module, a strategy adjustment module, a resource push module and an interaction learning module; multi-modal learning behavior data, including text input, voice reading, handwritten notes, video learning behaviors, interactive operation and the like, of learners are collected through the data acquisition module, the learners are subjected to group division by applying a group intelligent algorithm, and the behavior pattern and performance of each group in vocabulary learning are analyzed for each group, so that the learning efficiency of the learners is improved. Based on the analysis, the system can automatically adjust teaching strategies and push customized multi-modal learning resources and training methods, so that personalized requirements of different learners are met, and the learning effect and experience are remarkably improved.

A training method for continual learning model and a non-transitory computer-readable medium are proposed. The method includes: training the encoder and self-attention layer in the essence generation procedure according to the raw data of a task when the current training process is the first task in continual learning; otherwise, freezing the parameters of the encoder and self-attention layer, performing the essence generation procedure to convert the raw data into a data essence, and adding the data essence into the essence memory. The training process is repeated until the continual learning model converges. The training process includes: obtaining a training batch from the raw data, updating the replay memory according to the training batch, training the continual learning model according to the replay memory and the essence memory, and updating the data essence in the essence memory when the current training process is the first task.

User feedback in memory training startup sequences is described. In one or more implementations, a system includes a plurality of memory circuits configured as a system memory, and at least one processing circuit. The processing circuit executes platform initialization code configured to partially train a subset of memory circuits from a plurality of memory circuits during an initial stage of a startup sequence, and fully train each memory circuit of the plurality of memory circuits during a subsequent stage of the startup sequence. The processing circuit further executes basic input output system code configured to use the subset of memory circuits to output user feedback during the initial stage, and use the system memory to complete the startup sequence during the subsequent stage.

This utility model discloses a memory training toy, including a card carrier and several cards, each card including a main image area and a secondary image area; the card carrier includes a base plate and a cover plate, the cover plate having a through hole corresponding to the main image area, and a baffle being provided at each through hole, each baffle being able to cover or open the corresponding through hole. The memory training toy provided by this utility model is feature-rich and can enhance training effectiveness. Unlike traditional card-based memory training toys, this toy not only helps children with image memory training but also adds spatial memory training.

Embodiments described herein are generally directed to selective multithreaded execution of memory training by CPU sockets. In an example, a memory configuration and a current phase of execution of memory training for each of multiple CPU sockets of a computer system is received. Based on the memory configuration and the current phase of execution of each of the CPU sockets an estimated power usage across all CPU sockets may be determined. Based on the estimated power usage and a power consumption threshold (e.g., PTAM or PA), performance of the current phase of execution of one or more CPU sockets may be selectively released for one or more channels of the one or more CPU sockets.

1. Name of the product in this design: Spatial Color Memory Training Aid. 2. Purpose of this design: For use as teaching aids to train memory. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a memory bank installation self-checking method, and belongs to the technical field of computer storage equipment detection. The method comprises the following steps of: separating a test signal adaptive to the working state of the memory to obtain an incident signal and a reflected signal, acquiring voltage of the incident signal and the reflected signal, converting the voltage into digital information, calculating a reflection coefficient and actual link impedance and deviation of each detection frequency point, comparing a set deviation threshold value to generate a detection result, analyzing abnormal information, and sending out a prompt of re-plugging or re-replacing. And meanwhile, synchronizing a result to a memory training process. According to the method, the installation state and the link impedance of the memory bank are accurately detected, the problem of poor contact caused by vibration or improper installation is timely checked, equipment operation faults are reduced, the memory training effect is optimized, and the equipment operation stability and the maintenance convenience are improved.

1. The name of the design product: memory training machine. 2. The use of the design product: for exercising the memory and finger flexibility of children. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

A data processing system includes a data processor having a memory controller, and a memory. The memory is coupled to the memory controller and is for reading and writing data synchronously with respect to a clock signal. The memory includes a sensor circuit that is responsive to a control signal to output a measured value without using the clock signal.

The invention discloses a memory training interaction device based on virtual reality and a virtual object recommendation method in memory training interaction, and the device comprises a database which is configured to store a plurality of types of memory objects for a user to select, and each type of memory object comprises a plurality of memory units; a virtual object having a certain memory association with the memory unit and an association mapping set between the memory unit and the virtual object are also stored; the memory object association module is used for recommending a plurality of virtual objects having different association strengths with the memory unit to the user; the scene construction module is configured to recommend a plurality of training modes and a plurality of virtual memory scenes to the user, and generate a corresponding VR virtual scene according to the virtual memory scene and the training mode selected by the user, so that the user interacts with a generated virtual object in the VR virtual scene; and the interaction module is configured to control the virtual object to complete a corresponding interaction action based on user operation. Through multi-mode training, personalized scene and interactive design, memory training efficiency and user experience are improved.

Systems and methods for end-to-end pretraining of multimodal retrieval-augmented visual language models. In some examples, multimodal information may be encoded into key-value pairs and stored in a unified memory, which the model's retriever can access via multimodal query encodings in order to identify relevant information within multiple knowledge sources. The model may include an attentive fusion layer so that automatically-generated retrieval scores for multiple simultaneously-considered documents may b used in calculating attention scores, and gradients from the final task may be used to train the entire model (including the retriever) end-to-end and update the unified memory. In such cases, the retriever may thus be trained with the rest of the model without the need for ground-truth scores indicating which knowledge entries are most helpful in answering a given query, and the model's parameters may thus be focused on understanding queries and conducting reasoning rather than simply memorizing the training data.

The invention relates to a method and apparatus for selecting an address for memory training. Systems, apparatus, articles of manufacture, and methods for selecting addresses for memory training are disclosed. An example non-transitory computer readable medium includes instructions that, when executed, cause a machine to: determine, based on an identification of a second memory address associated with an error, a first memory address for performing memory input / output training thereat; and causing memory input / output training to be performed at the first memory address.

The application discloses a device starting method and device, electronic equipment and storage medium, and relates to the technical field of data storage. When a target device is started, it is determined whether the target device has been subjected to vibration beyond a tolerance range. If the target device does not appear vibration beyond the predetermined tolerance range, the memory training parameters at the last starting time can be directly used to configure the memory of the device, thereby shortening the starting time. If it is detected that the target device has vibration beyond the predetermined tolerance range in the process of carrying and moving, the memory is retrained in the process of the next starting and memory configuration, and the memory training parameters corresponding to the current state of the target device under the new contact resistance are determined, so that errors or data anomalies in subsequent reading and writing of the memory are avoided, data can still be kept stable and error-free when the target device is started to read and write the memory, the memory error rate is reduced, and the accuracy and reliability of the memory in the target device are ensured.

The invention discloses a memory training device and method based on face recognition, and relates to the technical field of rehabilitation equipment. The device comprises a head-mounted frame and a main control box installed on the head-mounted frame; the head-mounted rack is provided with a rack-mounted microphone and a rack-mounted loudspeaker, the front part of the head-mounted rack is provided with a rack-mounted camera, the rack-mounted camera is an AI camera, and the rack-mounted camera is internally provided with an AI identification module for identifying human images and object images; a main control module and a knowledge base module are arranged in the main control box, and a mode switching switch used for controlling the working mode of the main control module is arranged on the main control box; the main control module is respectively interconnected with the rack-mounted camera and the knowledge base module in a data communication mode; the main control module has two working modes, and the mode switching switch is used for controlling the main control module to be switched between the two working modes. The device and the training method provided by the invention are used for implementing the memory therapy of the Alzheimer's disease patient.

A memory training device, comprising: a cylindrical housing (1) and a plurality of memory pieces (2), wherein the cylindrical housing (1) comprises a storage cylinder (3) and a memory piece outlet selection ring (4) which are axially connected to each other and rotatable relative to each other about an axis; the storage cylinder (3) is configured to accommodate a plurality of memory pieces (2) therein and enable the memory pieces (2) to move in an axial direction of the storage cylinder (3), a memory piece inlet (27) is formed in a first end of the storage cylinder (3) in the axial direction, and a memory piece outlet (5) is formed in a second end, opposite the first end, of the memory piece outlet selection ring (4); and when the memory piece outlet selection ring (4) is rotated to cause an indicated memory mark (1101) to match a target memory mark (1101) on a target memory piece, the target memory piece can pass through the second end of the storage cylinder (3) to enter the memory piece outlet selection ring (4) and exit the memory piece outlet (5). The active recall ability of a user can be trained by virtue of the memory and recall of the memory marks (1101, 1102) on the memory pieces (2).

1. The name of the design product: the main body of the memory training device. 2. The use of the design product: the design product and its main body are used for intelligence games to train memory. 3. The design points of the design product: the shape of the solid line part. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: the design is a partial design, and the part represented by the dashed line in each view is not within the scope of protection.

An apparatus and method for providing episodic memory training for improving cognitive ability are provided. The apparatus comprises: a memory storing at least one process for providing episodic memory training for improving cognitive ability; and a processor performing an operation on the basis of the process. The processor provides episodic data to a user terminal every preset first period, provides a first test for short-term memory evaluation for the episodic data to the user terminal when completion confirmation for the episodic data is received from the user terminal, provides a second test for long-term memory evaluation on the episodic data to the user terminal after a preset second period elapses from the time when the first test is completed, and adjusts the difficulty of the episodic memory training of a user on the basis of a first result for the first test and a second result for the second test.

The utility model provides a training appliance device, which is used for attention training, memory training and sensory integration training of touch cognition, and comprises a skeleton assembly and a plurality of three-dimensional blocks, the framework assembly is used for connecting the multiple three-dimensional blocks to be spliced into a multi-face three-dimensional structure of the training tool device, the multiple three-dimensional blocks can move relatively, and therefore the positions of the three-dimensional blocks in the multi-face three-dimensional structure are changed. Each three-dimensional block comprises at least one panel, and the panels of the multiple three-dimensional blocks are spliced to form the surface of the multi-face three-dimensional structure; three-dimensional characters protruding out of the surface of a panel are arranged on the panel of the three-dimensional block. According to the invention, the convenience of attention training, memory training and sensory integration training of touch cognition can be improved.

The invention relates to the technical field of vocabulary memory training, and discloses a vocabulary memory training method and system based on handwriting interaction, and the system comprises a dictation module which is configured to enter a handwriting training environment after determining a to-be-memorized vocabulary, play the voice of the to-be-memorized vocabulary and display the paraphrase of the to-be-memorized vocabulary, and then carry out the handwriting input of a user; the acquisition module is configured to determine a next-round initial training interval based on the analysis result; the judging module is configured to judge whether to adjust the initial training interval of the next round according to the writing characteristic parameters; the processing module is configured to determine an adjustment coefficient of a next-round initial training interval based on the historical training parameters and obtain a next-round final training interval; and the execution module is configured to train the vocabularies to be memorized at the following final training interval. According to the method, the next training interval can be scientifically and reasonably determined according to the handwriting input result of the user, the writing characteristic parameters and the historical training parameters of the vocabularies to be memorized, and personalized vocabulary memorizing training is achieved.

The present application relates to the technical field of server management. Provided are a host bootup processing method and apparatus for a multi-host system, and an electronic device and a medium. The method comprises: when it is determined that CXL memory configuration information acquired from an access object remains unchanged, acquiring CXL memory training data from the access object, storing the CXL memory training data in a BIOS flash of a first host, and performing bootup on the basis of the CXL memory training data; if the access object is a device that each host has, transmitting the CXL memory training data to an access object of a second host, such that the second host boots up; and if the access object is not a device that each host has, making the second host acquire the CXL memory configuration information from the access object to complete bootup. In the present application, the characteristic that multiple hosts are interconnected by means of a network or the characteristic that all BIOSes of the multiple hosts can access an access object is used, such that sharing of CXL memory training data is realized, thereby increasing the bootup speed of a multi-host system.

The invention discloses a robot memory strengthening method based on a memory palace algorithm, and relates to the technical field of machine learning. The method comprises the following steps: acquiring a memory scene uploaded by a user and outputting a memory subject set; performing entity recognition on the memory scene and obtaining a plurality of entities, and analyzing the association degree between the entities and the memory subject to screen out a labeled entity set; analyzing historical memory data of each memory subject to obtain a memory difficulty coefficient, and calculating a memory resource coefficient in combination with the association degree; selecting a corresponding model according to the memory resource coefficient, and generating a visual annotation element fusing the memory subject and the annotation entity; and labeling the labeling elements at the entity coordinates, generating an enhanced memory palace scene, and displaying the scene to the user. According to the method, the memory palace and machine learning are fused, a personalized memory environment is constructed for the user, the problems that a traditional memory training method is boring, low in efficiency and lack of relevance are effectively solved, and the memory efficiency and the long-term memory retention rate of the user are improved.

The invention discloses a large language model training method and device and a target classification model generating method and device. The method comprises the steps of determining a target training task and at least one historical training task to be subjected to memory training; obtaining a first synthetic instance set corresponding to the target training task; obtaining a second synthetic instance set corresponding to the historical training tasks in the at least one historical training task, and determining a target synthetic instance set according to the first synthetic instance set and the second synthetic instance set; and training a to-be-trained large language model according to the target synthesis instance set to obtain a target large language model. The technical problem that old knowledge of the model is maintained depending on real training data of a large language model in related technologies, and new and old knowledge of the large language model cannot be considered when the real training data is unavailable is solved.

A data processing system includes: a data processor having a memory controller; and a memory. The memory is coupled to the memory controller and is used for synchronously reading and writing data relative to a clock signal. The memory includes a sensor circuit responsive to a control signal to output a measurement without using a clock signal.

1. Name of the Design Product: Memory Training Intelligence Toy for the Elderly with Dementia. 2. Use of the Design Product: For memory training of the elderly with dementia. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The application provides a memory training method, device, equipment, medium and program product, which can be applied to the technical field of computers. The memory training method comprises the following steps: in response to receiving a training log representing a memory training failure transmitted by a basic input / output system, analyzing the training log, determining a target training stage and a training failure field in which the failure occurs, and the training failure field comprising a target memory configuration parameter and state information representing a parameter value setting failure of the target memory configuration parameter; taking the target training stage, the target memory configuration parameter and the state information as graph nodes respectively, and taking an association relationship between the plurality of graph nodes as an edge, to generate a target graph; training the target graph to obtain an adjustment strategy; and updating a parameter value of the memory configuration parameter stored in a shared memory according to the adjustment strategy, so that the basic input / output system reads from the shared memory and re-executes the memory training based on the updated parameter value.

A system, software application and process help the user memorize a digital environment through the process of actions the users have to perform. The embodiments provide generating a digital environment including a first virtual room. A first set of digital objects in pre-defined locations of the first virtual room is generated. The first virtual room and the digital objects in the pre-defined locations are displayed. An acknowledgement from the user that the user has memorized positions of each of the digital objects in the first virtual room is received. The objects are removed. Selection of the digital objects and their placement in the first virtual room is received. The system determines whether every digital object was placed in a correct location and in response, generates a second virtual room including a second set of digital objects for further memory training.

The application discloses a learning and memory training auxiliary device for multiple odor substances, which comprises a base and a rotating table. A vertical cylinder is fixedly connected to the center of the top of the base in a vertical mode. A connecting hole is formed in the outer surface of the vertical cylinder. A fan is installed at the top of the vertical cylinder. The fan is arranged at the top of the connecting hole. An air supply mechanism is arranged in the base. The rotating table is rotatably connected to the top of the base. A circular hole is vertically formed in the surface of the rotating table. The circular hole is arranged on the outer surface of the vertical cylinder. A plurality of connecting seats are fixedly connected to the top of the rotating table. The plurality of connecting seats are connected to each other. The rotating table and the plurality of connecting seats are arranged in a rotating mode, so that each connecting port is communicated with the inside of the vertical cylinder, and the odor in each placing bottle placed in the circular groove is easily radiated, thereby switching the odors of different objects, improving the use effect of the device, and facilitating the replacement of the placing bottles in each circular groove, thereby improving the use convenience of the device.

This application discloses a method and system for mnemonic word recognition and extraction based on a neural network model. It rapidly filters potential mnemonic word sequences through multi-stage text preprocessing, then performs initial screening based on length and dictionary completeness requirements to obtain a first set of filtered sequences. A dual-branch neural network, combined with an adversarial memory training system, simultaneously outputs standard types and true probabilities, achieving intelligent filtering. Furthermore, compared to traditional techniques that directly perform checksum algorithms and virtual wallet verification, this application avoids performing hash operations and blockchain network requests on a large number of invalid sequences, significantly improving processing efficiency. After intelligent filtering, a second filtering is performed using a corresponding checksum algorithm, and finally, availability is confirmed through virtual wallet address validity verification, ensuring both recall and accuracy.

System memory training with chipset attached memory is described. In accordance with the described techniques, a request is received to train a system memory of a device. Responsive to the request, contents of the system memory are transferred to a chipset attached memory. The device is operated using the contents from the chipset attached memory. While the device is being operated using the contents from the chipset attached memory, the system memory is dynamically trained. After the training is complete, the contents are transferred back from the chipset attached memory to the trained system memory.

The present application belongs to the technical field of training teaching aid, and particularly relates to a cognitive impairment operation simulation teaching aid. The cognitive impairment operation simulation teaching aid comprises a training box, a memory test area and a concentration test area separated by a main partition plate; a memory training assembly arranged in the memory test area for memory training; and a concentration training assembly arranged in the memory test area for concentration training. The present application integrates memory training, concentration training and execution training into one through a set of coherent operation processes. While performing memory matching and attention selection, the patient must plan steps and manage time to run faster than the sandglass. This design simulates the complex cognitive requirements in the real world and aims to improve the level of comprehensive use of cognitive ability of the patient in daily life.