22 results about "Database machine" patented technology

A database system integrates in-database machine learning (ML) models with in-database large language models (LLMs) or other generative artificial intelligence (AI) models that enable new applications. The database system receives one or more inferences from an ML model and provides an inference input to a retrieval agent of an object store. One or more vector stores represent a plurality of reference documents using semantic encodings. The retrieval agent performs a similarity search of the one or more vector stores to retrieve a set of passages from the plurality of reference documents based on similarity of encodings of the inference input and encodings of passages in the plurality of reference documents. The database system generates a linguistic prompt for an LLM having a context including the inferences and passages and applies the LLM to the linguistic prompt to generate a natural language explanation of the one or more inferences.

The invention relates to the field of intelligent greenhouse management, and particularly discloses an intelligent greenhouse management system based on computer vision and deep learning, and the system comprises a data collection module which obtains environment data and soil data in a greenhouse in real time; the image acquisition module is used for acquiring crop growth images; the core controller preprocesses the data acquired by the data acquisition module and the image acquisition module and uploads the data to the cloud database; the computer vision and deep learning analysis module is used for identifying crop types and pest and disease damage conditions based on the crop images; the water-fertilizer control unit comprises an intelligent control module, a water-fertilizer all-in-one machine and a drip irrigation system; the user interaction module provides remote monitoring and control functions for a user; according to the system and the method, the condition of economic loss caused by the fact that crop diseases and insect pests cannot be correctly treated due to insufficient experience in traditional agriculture is overcome, environmental visualization is realized, a farmer can conveniently monitor the greenhouse in real time, precise irrigation and fertilization are realized, the agricultural production efficiency is improved, and resource waste is reduced.

Embodiments of the present disclosure enable users to efficiently verify digital data produced by queried databases, even when that data is differentially-private (e.g., satisfying the conditions of differential privacy in order to protect sensitive or private data). In addition to the query result, a database computer can provide the client with a non-interactive zero-knowledge proof (NIZK), data that the client can use to verify the digital data contained in the query result, without revealing any private data to the client. Various innovations, including vectorized proofs, enable the database computer to generate proofs that require less data (e.g., when measured in bytes) than most NIZK proof systems. Consequently, these proofs can be transmitted and verified more quickly and efficiently. Embodiments of the present disclosure can make use of partially or homomorphic commitments and efficient vector proof techniques to achieve these performance improvements.

The present invention discloses a method for regulating carbon accumulation in degraded karst forest soil by synergistic microbial functions, comprising: measuring and collecting bacterial and fungal diversity sequence data of degraded karst forest soil samples by high-throughput sequencing equipment, storing the original sequencing data including diversity, community structure, functional abundance values, etc. in a computer-readable storage medium, and constructing a structured microbial community database; based on the database, a computer system performs screening of core functional microorganisms that affect carbon storage; based on the screening results, the computer system performs the following processing: calculating the functional abundance index of core microorganisms; determining the microbial function weight by multivariate linear regression; establishing a carbon accumulation regulation coefficient calculation model; preparing a microbial agent and generating a control instruction including the microbial agent application amount and the vegetation coverage optimization plan according to the calculated value of the carbon accumulation regulation coefficient and the soil organic carbon saturation deficit value, and transmitting the control instruction to the field operation equipment.

The invention discloses a microbial function synergistic degraded karst forest soil carbon accumulation regulation and control method, which comprises the following steps: measuring and collecting bacterial and fungal diversity sequence data of a degraded karst forest soil sample through high-throughput sequencing equipment; original sequencing data including diversity, community structures, functional abundance values and the like are stored in a computer readable storage medium, and a structured microbial community database is constructed; based on the database, the computer system performs core function microorganism screening influencing carbon storage; based on the screening result, the computer system performs processes comprising: calculating a functional abundance indicator of the core microorganism; determining a microbial function weight through multiple linear regression; establishing a carbon accumulation regulation coefficient calculation model; and preparing a microbial agent, generating a control instruction containing the application amount of the microbial agent and a vegetation coverage optimization scheme according to the calculated value of the carbon accumulation regulation coefficient and the soil organic carbon saturation deficit value, and transmitting the control instruction to field operation equipment.

This application discloses techniques related to tree data structures capable of storing information indicative of database key codes. A computer system can operate a database. The computer system can store a multi-level tree data structure capable of being used to perform key code lookups for the database. In various cases, the multi-level tree data structure can be stored in system memory as a plurality of sub-tree data structures, each sub-tree data structure comprising a set of linked nodes. A given one of the plurality of sub-tree data structures can be stored in system memory as a respective contiguous block of information. The computer system can access the respective contiguous block of a first particular sub-tree data structure encompassing a particular range of levels in the multi-level tree data structure. The access can be performed without accessing one or more other sub-tree data structures encompassing one or more levels within the particular range of levels.

The invention relates to a processing unit (1) configured to be releasably connected to a catheter (2) and configured to exchange data with at least one of: a component of the catheter (20), a database (60), a computer network (6), a computer device (5), wherein the processing unit (1) comprises an integrated circuit (10a) for processing said data.

The presently disclosed subject matter includes a system and method of managing computer memory of a column-oriented database, which enables to reduce the tradeoff between eviction and recycling of intermediate query results and thus retain much of the recycling capability at a considerably lower computer memory cost. The computer memory comprises one or more intermediates, each intermediate being generated by execution of a respective instruction, the instruction being part of a given query. An hierarchical data-structure is generated and stored in the computer memory, wherein different nodes in the hierarchical data-structure represent different respective intermediates stored in the computer memory. Responsive to a delete command, the at least one intermediate is deleted from the computer memory, while a respective node representing the at least one intermediate is maintained in the hierarchical data-structure.

Embodiments of the present disclosure enable users to efficiently verify digital data produced by queried databases, even when that data is differentially-private (e.g., satisfying the conditions of differential privacy in order to protect sensitive or private data). In addition to the query result, a database computer can provide the client with a non-interactive zero-knowledge proof (NIZK), data that the client can use to verify the digital data contained in the query result, without revealing any private data to the client. Various innovations, including vectorized proofs, enable the database computer to generate proofs that require less data (e.g., when measured in bytes) than most NIZK proof systems. Consequently, these proofs can be transmitted and verified more quickly and efficiently. Embodiments of the present disclosure can make use of partially or homomorphic commitments and efficient vector proof techniques to achieve these performance improvements.

A system and method for verification of a pilot's activities in an aircraft cockpit has been developed. The system includes a camera located in the aircraft cockpit that monitors the pilot's eye position, head position and direction of gaze in the cockpit during aircraft operations. A computer system is located onboard the aircraft has a retrievable electronic memory that stores a three-dimensional (3D) model of the aircraft cockpit. The 3D model of the aircraft cockpit includes the location of aircraft instrumentation indicators. The retrievable electronic memory also stores a database of visual taskings for the pilot. The computer system determines the completion of the visual taskings for the pilot by comparing the pilot's eye and head position and gaze direction with location of relevant aircraft instrumentation indicators and a notification system that alerts the pilot when a visual tasking is not completed.

Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, candidate database records potentially matching a received database record may be identified in a local database, and a respective probability of each candidate database record matching the received record is output by a match machine learning model. A list of statistical scores is generated based on the respective probabilities and is input to an in-database machine learning model to calculate the probability that the received database record already exists in the local database.

The disclosed embodiments provide for rules-based deployment of software installations. In some aspects, operational parameters for a computer system are monitored over time to generate a historical database of values for the operational parameters. The computer system may include multiple instances of a software installation. A portion of the multiple instances is updated with a new version of software. The operational parameters are then monitored to quantify whether the new version results in an improvement or degradation of performance of the computer system. The improvement or degradation is based on comparing values of the operational parameters after deployment to their historical values. Depending on the evaluation of the operational parameters after the installation, the installation may be rolled back if a degradation is indicated. Otherwise, the new software version may be propagated to additional installation instances.

A system and method for verification of a pilot's activities in an aircraft cockpit has been developed. The system includes a camera located in the aircraft cockpit that monitors the pilot's eye position, head position and direction of gaze in the cockpit during aircraft operations. A computer system is located onboard the aircraft has a retrievable electronic memory that stores a three-dimensional (3D) model of the aircraft cockpit. The 3D model of the aircraft cockpit includes the location of aircraft instrumentation indicators. The retrievable electronic memory also stores a database of visual taskings for the pilot. The computer system determines the completion of the visual taskings for the pilot by comparing the pilot's eye and head position and gaze direction with location of relevant aircraft instrumentation indicators and a notification system that alerts the pilot when a visual tasking is not completed.

A machine has a network interface circuit to provide connectivity to a network in communication with an electric vehicle, a security validator machine, a secure database machine and a charging station management system. A memory stores instructions executed by a processor to store certificate chains from electric vehicle manufacturers, mobility operators and charging point operators. A trigger signal indicative of the electric vehicle connected to electric vehicle supply equipment (EVSE) is received. Proximate EVSEs are evaluated with a cascaded selection strategy including a first strategy based upon Media Access Control (MAC) addresses, a second strategy based upon Open Charge Point Protocol (OCPP) status, and a third strategy based upon a trained geolocation historical pairing model. The certificate chains are validated through network communications with the security validator machine and the secure database machine. An activation signal is sent to selected electric vehicle supply equipment.

A database system integrates in-database machine learning (ML) models with in-database large language models (LLMs) or other generative artificial intelligence (AI) models that enable new applications. The database system receives one or more inferences from an ML model and provides an inference input to a retrieval agent of an object store. One or more vector stores represent a plurality of reference documents using semantic encodings. The retrieval agent performs a similarity search of the one or more vector stores to retrieve a set of passages from the plurality of reference documents based on similarity of encodings of the inference input and encodings of passages in the plurality of reference documents. The database system generates a linguistic prompt for an LLM having a context including the inferences and passages and applies the LLM to the linguistic prompt to generate a natural language explanation of the one or more inferences.

Provided is a data acquisition method in which a language model can generate an accurate answer. This data acquisition method executed by one or more computer devices connected to one or more language models comprises: generating, by a computer device, a prompt for identifying a database including information related to a question content of a user; inputting, by the computer device, the prompt to a language model; and receiving, by the computer device and from the language model, at least one of the location of the database, the name of the database, the format of the database, and information of a column of the database.

A database system integrates in-database machine learning (ML) models with in-database large language models (LLMs) or other generative artificial intelligence (AI) models that enable new applications. The database system receives one or more inferences from an ML model and provides an inference input to a retrieval agent of an object store. One or more vector stores represent a plurality of reference documents using semantic encodings. The retrieval agent performs a similarity search of the one or more vector stores to retrieve a set of passages from the plurality of reference documents based on similarity of encodings of the inference input and encodings of passages in the plurality of reference documents. The database system generates a linguistic prompt for an LLM having a context including the inferences and passages and applies the LLM to the linguistic prompt to generate a natural language explanation of the one or more inferences.

A filter control system includes a plurality of filter vessel assemblies. The filter control system also includes a control center that has a user interface with access to a database, a computer programming unit, and a memory. The control center is in communication with the plurality of filter vessel assemblies.

Methods and systems for managing cryptographic keys in on-premises and cloud computing environments and performing multi-party cryptography are disclosed. A cryptographic key can be retrieved from a hardware security module by a key management computer. The key management computer can generate key shares from the cryptographic key, and securely distribute the key shares to computer nodes or key share databases. The computer nodes can use the key shares in order to perform secure multi-party cryptography.

To provide a data acquisition method that enables a language model to generate an accurate response.SOLUTION: A data acquisition method executed by one or more computer devices connected to one or more language models causes a computer device to: generate a prompt to identify a database containing information relevant to a user's query; input the prompt to the language model; and receive from the language model, as a response to the prompt, information including at least one of the database's location, the database name, the database format, and a piece of information about the database columns.SELECTED DRAWING: Figure 2

The embodiment of the invention provides a node state determination method and a fault processing method for a read-write separation database cluster, the database cluster comprises at least one group of nodes, each group of nodes comprises a master node and a plurality of slave nodes, each node is provided with a plurality of network cards, each network card corresponds to an address, and the slave nodes are connected with the master node. The method comprises the following steps: establishing communication connection with a node through a plurality of network cards of the node in sequence until the connection is successful; and based on the communication connection with the nodes, determining a master node in each group of nodes and slave nodes synchronized with the master node, and issuing online master and slave node information to a service thread. A plurality of network cards are configured for each database machine in the database cluster, and when one of the network cards fails, the other network card can be switched to establish connection with the service server, so that the influence of network failures on the cluster is relieved; and the service server judges whether failover occurs or not according to the recorded address of the master node, so that the information of the online master and slave nodes is updated, and the risk of service error reporting is reduced.

A computer implemented method (1000) of characterising a tooth by analysing at least one digital representation of said tooth in its clinical environment, comprising: a) determining a parameter indicative for the position of the tooth in a mouth; b) determining a limited set of parameters for describing the tooth in a clinical environment, comprising parameters indicative of a size and shape of the tooth, and parameters for describing adjacent papilla's. Computer implemented method (1100) for adding teeth to a database. Computer implemented method (1200) for determining a matching score between teeth. Computer implemented method (1300) of searching a database to find matching teeth. Computer implemented method for allowing a user to design or define a dental restoration, and producing a 3D file for producing the dental restoration. Computer program product for any of these computer implemented methods. A digital database.