1442 results about "Computer based" patented technology

A system may receive a natural language query and receive an indication of a format of a first computer language as well as an indication of one or more computer-based tools stored in and / or accessible by the system. The system can transmit a prompt to a large language model (“LLM”). The prompt may include the natural language query, the indication of the format, and the indication of the one or more computer-based tools. The system can receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least: a computer-based tool of the one or more computer-based tools. The system can generate a second query in a second computer language and provide the second query in the second computer language to the computer-based tool.

Systems, devices, and methods are provided for determining contextually relevant user-based product recommendations based on scene information. In at least one embodiment, techniques described herein may be used to determine, using a first machine-learning model, first information associated with a first object within a first image of digital content, determine, using a second machine-learning model, similarity scores between the first object and a first plurality of products of an online purchasing system, detect, in association with the first image of the digital content, performance of a first computer-based action by a user, determine, using a third machine-learning model and based on contextual data of the user, one or more affinity scores for the user, select a first product based on the one or more affinity scores, and present a recommendation to the user to perform a second computer-based action in association with the first product.

The technology discloses a computer-implemented policy manager device for a cloud-based security system that manages cloud-based unified functions of packet-level and protocol-level access control and traffic inspection, threat detection and activity contextualization on inspectable and non-inspectable traffic. Packet-level access control inspects packet headers for malformation, protocol-level access control performs deep packet inspection for malicious signatures, threat detection determines whether traffic in an HTTP / S stream as directed to a threat destination, and activity contextualization recognizes whether an activity in an HTTP / S stream accessing a cloud-based application is a compromising activity. Policy manager for a superset of fields specifying security policies across the cloud-based unified functions includes common fields shared by the unified functions, specification receiver handles policy specifications in a common format for values of the common fields, and policy manager is configured to validate, save and distribute policy specifications applicable to respective functions among the cloud-based unified functions.

The present disclosure provides devices, systems, and methods for capturing and analyzing behavioral and physiological data of subjects for treatment, modification, and manipulation discovery. In some embodiments, a method for classifying a drug is provided. The method includes obtaining observational data concerning an animal subject to which the drug is administered, the observational data acquired using an enclosure for the animal subject, the enclosure instrumented with at least one sensing device. The method also includes extracting features by applying the observational data to a machine-learning feature-extraction component. The method further includes predicting a class label of the drug by applying the features to a machine-learning classifier component, the machine-learning classifier component trained to predict the class label of the drug from, at least in part, the features. The method further includes providing an indication of the class label.

A method includes scanning a network having a first and second host, obtaining, via the scanning, a first and second type information of the first and second host, respectively, the first or second type information including a device category, obtaining, via the scanning, a first and second scaling factor of the first and second host, respectively, calculating, a first criticality score of the first host based on the first type information and the first scaling factor, calculating a second criticality score of the second host based on the second type information and the second scaling factor, calculating a first host risk score (HRS) for the first host based on the first criticality score, calculating a second HRS for the second host based on the second criticality score, and applying a security patch on the first host prior to the second host first HRS is higher than the second HRS.

A computer-based system, computer-implemented method, and computer program product for establishing an instantaneous computational value of an asset cluster leverage a composable asset control system implemented upon one or more blockchain computer networks. The composable asset control system is configured to resample a non-fungible digital asset and a digital representation of a cryptographic asset. The composable asset control system is further configured to configure an asset cluster by configuring a binding secured by the blockchain computer network. The composable asset control system is further configured to quantify an instantaneous computational value of the asset cluster based on a value of the cryptographic asset. The composable asset control system is further configured to encode in at least one smart contract a regulator configured to control transfer and use of the asset cluster.

The invention discloses a course learning planning system based on a computer, and relates to the technical field of course learning planning, and the course learning planning system comprises a learning data acquisition module, a knowledge graph construction module, a learning index scoring module, a multi-index comprehensive evaluation module, a learning plan making module and a real-time progress feedback module. Wherein the modules are connected through electric signals; the learning data acquisition module is used for collecting learning data of students and determining evaluation indexes of the learning data. According to the course learning planning system based on the computer, by monitoring the learning progress and achievement of students, instant learning feedback is provided for the students, so that the students can quickly know the learning state of themselves, related learning resources and exercises are intelligently recommended according to the learning conditions of the students, the students are helped to consolidate knowledge and make up for deficiencies, and the learning efficiency is improved. Students can achieve a higher learning effect in a shorter time, and the learning efficiency is improved.

A method includes scanning a plurality of hosts in a network to obtain risk information of each instance of vulnerability associated with each host during a period, calculating a vulnerability risk score (VRS) for each instance of the vulnerability based on the associated risk information, determining a number of vulnerabilities associated with each of the plurality of hosts during the period, obtaining a criticality score of each of the plurality of hosts, obtaining for each host, a representative VRS based at least in part on the VRS for each instance of vulnerability associated with the host, calculating a host risk score (HRS) for each host based on the representative VRS, the number of vulnerabilities and the criticality score of the host, calculating a network risk score (NRS) for the network based on the HRSs, and facilitating a security action based on the HRS for each host and the NRS.

Techniques are described for validating build integrity of software products, such as applications or containers. More specifically, this disclosure describes a build integrity validation system that analyzes build artifacts resulting from a software build process to create source code assertions, and compares the assertions against the source code from which the build artifacts were produced. The build integrity validation system validates that a particular build artifact is producible by the source code to ensure that no additional code was introduced during the build process. The build integrity validation system may also reverse the analysis to validate that the source code is able to produce the build artifacts to ensure that no code was removed or modified during the build process. The build integrity validation system identifies and reports identified discrepancies between the source code and the build artifacts resulting from the software build process of the source code.

A computer-based system and corresponding computer-implemented method process input data queries in a manner enabling advanced functionality for data analytics. The method transforms a query plan tree into a query strategy tree. The query plan tree is constructed from an input data query associated with a computation workload. The method compiles the query strategy tree into dataflow graph(s) (DFG(s)). The method transmits the DFG(s) for execution via a virtual platform. The method monitors execution of the DFG(s). The method outputs, based on a result of the execution monitored, a response to the input data query. The result is received from the virtual platform and represents at least one computational result of processing the computation workload by the virtual platform. The system and method enable rapid and efficient retrieval and analysis of data stored in data lakes and other data storage systems, in response to user queries.

A touch screen controlled light emitting pet toy that has a light emitting device equipped to direct a point of light on a surface to provide entertainment to a pet and includes movement about multiple axis and is operated by a touch screen computer based device communicably connected to a controller of the toy. The toy is equipped to receive user input from an application with a touch-screen directly or indirectly via a camera that provides live video data to the application and relays user input to the toy further allowingdikect control and pre-recorded pattern control of the light emitting device through low latency touch screen interactions.

Computer-based techniques for performing systematic literature reviews are provided. Some embodiments include an SLR system including various components that interoperate to generate regulation-compliant SLR reports regarding an issue based on user-defined parameters. In several embodiments, the SLR system may integrate various artificial intelligence techniques to facilitate generation of SLR reports. For example, various SLR systems disclosed hereby may utilize generative pre-trained transformers to assist in aspects of systematic literature reviews, such as literature database queries, literature screening, data question generation, level of evidence classification, qualitative assessments, data extraction, and report generation.

The package holder incorporates a front cover having several rungs assembled in a cascading, accordion style that when the front cover is in its expanded position to cover the interior cavity of the package holder, the several rungs are fully expanded and when the front cover is in its collapsed position, the several rungs fit together. The package holder includes a frame structure having one or more back surfaces and a bottom surface. The back surface is mountable using fasteners to a physical surface of a property. The package holder incorporates electronic and computer based locking mechanisms as well as non-electronic locking mechanisms. The package holder incorporates tracking sensing systems to track a package from a third-party delivery service that can automatically access the interior cavity of the package holder. A user can access the package from an interior of a property through an opening of the package holder.

In some embodiments, the present disclosure provides an exemplary method resolving weak labeling of entity records that may include steps of retrieving a plurality of entity records, processing the plurality of entity records with a natural language processing model, classifying by a similarity measure the plurality of entity records, determining embeddings of the entity records, determining feature groups based on a clustering model, determining a search space group rule based on at least one feature of feature groups that is determined to reduce the search space of combinations for weak labeling and merging the resolved plurality of entity records.

Systems and methods for distributed ledger-based identity management are disclosed. In one embodiment, a computer-based method for managing attestations may include: (1) receiving, by a computer program executed by an electronic device for an identity consumer and from an identity provider, a notification from an identity provider server that an attestation is available, wherein the attestation may be generated by the identity provider based on authorization from a system operator and may include a chain of trust comprising an identification of the system operator and the identity provider; (2) requesting, by the computer program, the attestation from the identity provider; and (3) downloading, by the computer program, the attestation to an identity consumer electronic wallet for the identity consumer. The identity provider may commit the downloading of the attestation to a distributed ledger, wherein the distributed ledger maintains a current status for the attestation.

Disclosed herein is a patella clamp configured to grip a patient's patella. The patella clamp includes a clamping assembly, a ratchet arm assembly, and a handle assembly. The clamping assembly includes first and second patella grip portions mounted in opposing relationship. In use, actuation of the handle assembly moves the second patella grip portion towards the first patella grip portion to clamp the patient's patella. The handle assembly is configured to be moveably adjustable (e.g., rotatable) relative to the clamping assembly. In addition, and / or alternatively, the patella clamp may be configured as a tracking patella clamp arranged and configured to be used in an orthopedic computer-assisted and / or robotic surgical surgery to enable a surgeon to view a virtual patella model to visualize patella preparation steps in a computer-based environment prior to making the preparations on the patient.

Methods and systems are provided for detecting and processing gestures, expressions (e.g., facial), tone and / or gestures of the user for the purpose of improving the quality and speed of interactions with computer-based systems. Such information may be detected by one or more sensors such as, for example, electromyography (EMG) sensors used to monitor and record electrical activity produced by muscles that are activated. Other sensor types may be used, such as optical, inertial measurement unit (IMU), or other types of bio-sensors. The system may use one or more sensors to detect speech alone or in combination with gestures, expressions (e.g., facial), tone and / or gestures of the user to provide input or control of the system.

Techniques for storing a set of digital assets. The techniques including identifying at least one digital token from a digital token database storing indexed information related to digital tokens recorded on a notarized ledger, the at least one digital token representing an owned asset based on digital features of the owned asset and the set of digital assets. The techniques including deriving at least one similarity score for the at least one digital token relative to the set of digital assets and based on the digital features. The techniques including generating a least one notification, including validity information, based on the at least one similarity score. The techniques including enabling a smart contract engine to execute a smart contract interface associated with the notarized ledger based on the at least one notification or the at least one similarity score.

A computer-implemented method includes detecting a communication session established between a first computing device of a first user and a second computing device of a second user; generating session identification information for the communication session; detecting a triggering condition during the communication session to verify an identity of the first user; causing the second computing device to instruct the first user to interact a smart transaction card with the first computing device such that a one-time data item is transmitted from the smart transaction card to an application executing on the first computing device, the one-time data item dynamically generated by the smart transaction card, where the first user is authenticated via the application based at least in part on the level of authentication and the one-time data item; generating a verification token for the communication session, the authentication result stored in association with the session information.

The invention discloses a self-adaptive USB network sharing method and device and MIFI equipment, and the method comprises the steps: presetting at least two USB drive modes to support different types of operating systems; after the USB interface of the upper computer is connected, signaling negotiation with the upper computer is carried out according to the configured default driving mode; if the negotiation succeeds, a network card corresponding to the driving mode is created, an IP address is allocated to the upper computer, and the network card is utilized to provide a USB network sharing service for the upper computer; and if the negotiation fails or exceeds the set time, switching to other driving modes except the default driving mode to carry out signaling negotiation. By means of the scheme, the USB sharing service can be provided for the upper computer, various different types of operating systems can be adaptively compatible, and the internet surfing requirement of the upper computer based on the different types of operating systems is met.

The invention relates to an audio data processing method and device based on artificial intelligence and a computer. The method comprises the following steps: extracting voiceprint data of an object by using voiceprint features, and then repairing voice variation and semantic defects in a to-be-processed sound according to initial repairing parameters in combination with voiceprint and image data of the object; if the restored sound data still have voice variation or semantic defects, adjusting the initial restoration parameters, and re-executing the restoration process; the adjustment and restoration process is continuously iterated until it is detected that voice variation and semantic defects do not exist in the voice data any more; and when the problem cannot be detected again, outputting the repaired sound data as target sound data. By adopting the method, the real-time repairing efficiency of the audio data with voice variation and semantic defects can be effectively improved.

A computer based system and method for providing decentralized training of a machine learning model, including: obtaining a mini-task of training the machine learning model wherein the mini-task comprises at least one mini-batch size; obtaining an estimation of at least one performance indicator in each trainer of a plurality of trainers that have available computing power, wherein each trainer comprises one or more processors; calculating a maximal micro-batch size for each processor of the plurality of trainers based on the at least one performance indicator of the respective trainer, and parameters of the mini-task; and assigning the mini-task to at least one designated trainer of the plurality of trainers based on the maximal micro-batch sizes of the one or more processors of the at least one designated trainer and the at least one mini-batch size.

In an approach to improve the privacy of chat groups within a virtual world, embodiments of the present invention expand a chat area of a chat group to form an experience annulus according to predetermined distance that a voice volume of private-chat-group member can propagate. Responsive to identifying an external user is interested in the chat group, embodiments generate and set a current topic representing a conversation in the chat group as an externally hearable topic that is perceivable by the external user and generate a faux multi-person conversation associated with the externally hearable topic that corresponds to a real conversation made by members in the chat group. Further, embodiments assign the faux utterances to chat group members based on a corresponding speaker index and utilize one or more corresponding avatars of the chat group members to present the faux utterances to the external user.

A method includes instructing a computing device of a user to determine when a webpage is loaded via a web browser; where the web browser includes at least one of: a plug-in or an extension associated with the provider server associated with a first entity; where the plug-in or the extension is configured to request and receive a unique schema-specific identifier from the provider server; instructing the computing device to determine that the webpage is a particular webpage based on a determination that the webpage includes at least one field to be populated with user information; determining that the particular webpage is associated with a look-alike domain name based on: comparing a domain name of the particular webpage with at least one domain name of at least one second entity associated with at least one previously used unique schema-specific identifier associated with the user or at least one other user.

An approach is provided for computer-vision-based object motion detection. The approach involves receiving a video sequence captured from a perspective of a vehicle / device traveling at street level. The approach also involves processing frames of the videos sequence using computer vision to determine semantic localization feature(s) associated with object(s) detected in the frames. The approach further involves clustering the object(s) into object cluster(s) across the frames based on the semantic localization feature(s). The approach further involves creating an object vector connecting the object(s) in a given cluster of the object cluster(s) across the frames. The approach further involves computing an angle between the object vector and a reference vector associated with a movement of the vehicle / device across the frames. The approach further involves classifying a motion of the object(s) relative to the vehicle / device based on the angle.

The invention discloses a notebook computer waste heat recycling system and method based on a thermoelectric conversion effect, and relates to the technical field of thermoelectric materials and devices, and the system comprises a distributed thermoelectric array module which is composed of a plurality of miniature TEG units, is distributed in a high heating area of a notebook computer, and directly generates power through temperature difference; the self-adaptive heat management module comprises a heat-conducting silica gel layer and micro heat dissipation fins and is used for optimizing the temperature difference between the hot end and the cold end; the multi-stage electric energy management module comprises a rectifying circuit, a DC-DC boosting chip and a recycling energy storage battery device, converts the unstable low-voltage direct current output by the TEG into stable electric energy, stores the stable electric energy and supplies the stable electric energy to target equipment; and the intelligent control module dynamically adjusts the working area of the micro thermoelectric power generation unit according to the data of the temperature sensor, preferentially selects the position with the maximum temperature difference to generate power, and matches the power supply demand through a PMIC chip. Efficient conversion and utilization of waste heat are realized through innovative design, the problem of low thermoelectric conversion efficiency in miniaturized equipment is solved, and energy conservation and environmental protection are realized.

A method includes receiving by a controller, a surgeon-specific surgery profile for an implantation of an implant into a joint, implant profiles, a patient-specific post-surgery desired functional profile of the joint after the implantation, and bone registration data for a first bone member and a second bone member of a patient are inputted into a surgical plan model to generate a surgical plan. The surgical plan model is designed to achieve the patient-specific post-surgery desired functional profile based at least in part on a plurality of dependencies between a plurality of surgical parameters, the implant profiles, at least one functional parameter representative of the expected functional performance of the joint, and movement-related data of the joint. The surgical plan is outputted on a graphical user interface (GUI) on a surgery assistant device to facilitate the implantation.

This disclosure presents an image generation system designed to generate a series of contextually-persistent visual images for a text document. For instance, the image generation system utilizes multiple computer-based models, entity identifiers, and visual entity embeddings to create multiple synthetic images for a given text document. These synthetic images share a consistent theme and style. Additionally, the synthetic images include the same characters, places, and objects. Indeed, the image generation system implements seamless and consistent visual representations of the entities throughout the text document.

Techniques are presented to control the performance of a process conducted via a blockchain. The method comprises the steps of deriving a public-key-private key cryptographic pair for a portion of data related to a smart contract associated with an asset, wherein the smart contract is stored in a computer-based resource that is separate to the blockchain; deriving a signature for the portion of data using the public key-private key cryptographic pair; and codifying the portion of data to generate codified metadata for the data, wherein the codified metadata is arranged to reference or provide access to the smart contract; transmitting the codified metadata to the blockchain; and receiving a signature and a script from at least one user to enable access to embedded data, wherein the script comprises a public key of a signatory.