13 results about "Cognitive learning" patented technology

The invention belongs to the technical field of intelligent sports and computer vision crossing. The adaptive training method based on Tai Chi action recognition is provided, and space action features are extracted according to three-dimensional human skeleton key point coordinates of a human body; extracting multi-scale motion features of the human body in a time domain according to the spatial motion features; global attention aggregation is carried out according to the multi-scale motion features of the human body in the time domain, and a human body motion recognition result is obtained; according to a human body action recognition result, matching a corresponding Tai Chi style drawing theory; superposing multi-dimensional visual prompts into a Tai Chi motion video according to the Tai Chi motion style theory so as to intuitively prompt a user about action key points; calculating an action problem based on priori knowledge or a preset template, prompting an error position and an error reason by adopting graphs and / or characters, and giving an adjustment suggestion; according to the invention, more personalized training experience can be provided, cognitive load can be reduced, and training efficiency, training effect and cognitive learning fluency can be improved.

The application discloses a robot cognitive development method based on ontology semantics, and comprises the following steps: constructing a robot article identification professional knowledge base based on attribute function and ontology information representation of article definition; information determination based on attribute discrimination and semantic search; and robot cognitive development based on attribute information addition. The application simulates the process of human memory, learning and cognition of articles based on an ontology semantic knowledge base, and through machine learning and sensor attribute information, the robot can actively cognize, learn, expand and accumulate learned knowledge and experience according to information data; the robot can continuously develop its cognitive ability through learning, automatically construct a robot article identification professional knowledge base of unknown articles, and based on a semantic structure of triplets, share knowledge and exchange operation logic between man and machine, so that the cognitive level of the robot is improved and the operation experience of an operator is improved.

The engagement learning engine provides for a holistic engagement model deeply rooted in the principles of human psychology, behavioral economics and mathematical correlation after studying the behavior, attitude and preferences of patients. The attitude, awareness, willingness (AAW) framework works by first identifying root causes that are causing lack of engagement and then uses the concept of behaviorally segmented ‘Nudges’ to deliver predictable engagement overtime. The AAW framework is preferably delivered using an artificial intelligence (AI) and machine learning (ML) technology platform to create personalized patient experience there by further enhancing and improving patient engagement. Further, the AI / ML model has cognitive learning abilities from the identified patterns, patient interactions and other inputs there by creating a perpetual loop of delivering precise nudges based on individual behaviors, outcomes delivered, interaction and other factors.

The invention discloses a cotton field moisture monitoring model architecture method and system based on unmanned aerial vehicle remote sensing, and belongs to the technical field of cotton moisture monitoring. The method comprises the following steps: step 1, obtaining an unmanned aerial vehicle image; step 2, batch extraction of vegetation indexes and texture features is carried out; step 3, building a double-loop cognitive learning network; and step 4, inputting the obtained set into a network for monitoring. The invention further provides a cotton field moisture monitoring model architecture system based on unmanned aerial vehicle remote sensing. According to the method, a double-circulation structure of interpretation and refining is constructed, closed-loop optimization of the moisture monitoring model from feature screening to structure compression to performance enhancement is achieved, the method is suitable for a cotton field area with a large area and high data isomerism, and a new thought and reliable support are provided for precise regulation and intelligent management of agricultural water resources.

The utility model provides a child picture book with a sounder, which relates to the technical field of picture books, and comprises a cover, a plurality of title pages are arranged in the cover, a plurality of detachable animal image cognition modules are arranged on each title page, and the animal image cognition modules are arranged on the title pages. The animal image cognition modules are used for forming images of animals, a plurality of module storage grooves are formed in each title page, and the number of the module storage grooves corresponds to that of the animal image cognition modules; a plurality of animal image cognition modules are arranged on the title page, and the animal image cognition modules are detachable, so that a child can splice an animal image through the animal image cognition modules in the process of teaching cognition of the child, and the thinking, learning and manipulative ability of the child is trained in the process; and moreover, the interactivity in the animal cognition process can be improved, the learning interest of children is improved, and the cognitive learning effect of the children is relatively good.

According to the digital twinning driven transformer full life cycle health management system provided by the invention, a self-evolution mechanism of a twinning model is established through the cooperative work of the cognitive learning module and the twinning evolution module, and the twinning evolution module can update physical parameter vectors on line, so that the health management efficiency is improved. Keeping the aging states of the twinborn model and the physical entity synchronous; moreover, the cognitive learning module predicts the inconsistency with real data through an analysis model, can generate and verify a new causal chain, and is used for updating a causal knowledge graph, and the mechanism enables the system to adapt to the gradual change of the equipment state, also can learn and discover a new fault mechanism from unknown anomalies, and improves the reliability of the system. And continuous expansion and iterative optimization of the model knowledge base are realized.

The application relates to the technical field of cognitive learning, in particular to a self-adaptive cognitive learning network simulation system based on a large language model. The system comprises a user cognitive learning feature vector conversion module, a hierarchical cognitive reasoning and learning network construction module, a cognitive learning interaction bottleneck simulation analysis module and a cognitive learning network feedback optimization module, can acquire user historical cognitive learning data, user cognitive interaction record data and user cognitive learning feedback information data and perform cognitive feature vector fusion conversion to obtain a user cognitive learning feature vector; performs hierarchical cognitive reasoning analysis and self-adaptive cognitive learning network construction based on a large language model to generate an initial architecture of a user self-adaptive cognitive learning network, and performs cognitive learning interaction bottleneck simulation analysis and cognitive learning network feedback optimization adjustment to generate an optimized adjustment network of the user self-adaptive cognitive learning. The application can improve the learning efficiency and effect of the user cognitive learning process.

The utility model belongs to the technical field of toys, especially relates to a wooden cone production toy, which comprises: a wooden main body composed of natural wood; further comprises: a functional area, the functional area comprises a first storage area, a second storage area, a production area and a taking area distributed on the wooden main body; a cone simulation piece, the cone simulation piece comprises a plurality of simulated cone skins and simulated cone balls; wherein the plurality of simulated cone skins and simulated cone balls are placed in the first storage area and the second storage area respectively, the simulated cone skins and simulated cone balls can be arranged in the taking area and the production area respectively and cooperate with the simulated cone production process through the taking area and the production area, and relative to the prior art, the utility model simulates a cone production process, increases the interactivity between the toy and children, combines the cone production process with cognitive learning and action training, and realizes the perfect fusion of entertainment and education.

To solve the problem in which there are limitations on the ability of live-agents to process multiple sessions at the same time because human resources are so heavily involved in live-agent run SCS sessions.SOLUTION: Embodiments of the invention are directed to a computer-implemented method of responding to an inquiry received electronically at a synchronous conferencing system (SCS). A non-limiting example of the computer-implemented method includes, based at least in part on the inquiry, using a processor of the SCS to generate a script having one or more script computer instructions. The processor is used to execute the script computer instructions to generate script computer instruction results, where the script computer instruction results include inquiry response information that is responsive to the inquiry. Based at least in part on the inquiry and the inquiry response information, the processor is used to generate an inquiry response that is responsive to the inquiry.SELECTED DRAWING: Figure 3

1. The name of the design product: brake energy management system development and test equipment. 2. The use of the design product: a special device designed for the development and testing of vehicle brake energy recovery systems and teaching practical training, which can be used for brake energy recovery system composition structure cognitive learning and brake energy recovery control strategy development and testing. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: since the bottom view does not involve the design points, and the public cannot easily observe this view in actual use of the device, the bottom view is omitted.

A method of improving cognition, learning and memory in a patient having a tauopathy neurodegenerative disease by the administration of small heat shock protein 22 (Hsp22) is presented. Administration of both wild type Hsp22 and a mutant phosphomimetic Hsp22 were found to increase synaptic plasticity and long term potentiation thus leading to increases in cognition, learning and memory in patients having a tauopathy such as Alzheimer's disease. These increases were found to be independent of tau accumulation and phosphorylation in vivo.

The invention relates to the technical field of large language models, in particular to a three-dimensional cognitive learning evaluation method and system, computer equipment and a medium. The method comprises the steps of setting three-dimensional cognitive learning protocol configuration based on cognitive psychology theory data and education theory data in a preset knowledge base; on each configured task instance, executing the steps of a tutor guidance process, a concept injection process and an experience reuse process based on a three-dimensional cognitive learning protocol, and generating learning process data; performing aggregation calculation on the learning process data corresponding to all the task instances to obtain a learning process aggregation data set of the large language model; and calculating to obtain a learning ability evaluation index of the large language model according to the learning process aggregation data set. Through the mode, the technical problem that the learning ability evaluation precision and efficiency are difficult to consider at the same time in the existing LLM evaluation technology is solved, and the systematicness and reproducibility of the evaluation process and the comparability of the result are improved.