1069 results about "Subject matter" patented technology

Systems and methods for enhancing a live scene to be captured by a camera of a user device based on one or more best matched reference images that include similar subject matter and attributes of the live scene are disclosed. A preview of a live scene is displayed on the user device. Attributes of the live scene are identified. The live scene is segmented separately into a foreground and a background. Vector representations of the attributes of the segmented live scene are calculated and user device parameters are obtained, and both are used to identify reference images that include the attributes of the live scene. The identified reference images are displayed on the user device and a selection is made. The user device parameters are configured based on the selection made to capture the live scene to obtain similar effects of the selected reference image.

The present subject matter discloses an outdoor storage shed utilizing molded plastic components or panels. A storage shed structure can comprise foldable corner panels and one or more interlocked teeth couplings. The foldable corner panel can pivot at integrated folding grooves to serve as corners. The interlocked teeth couplings comprise a plurality of protrusions and matched recesses arranged on both sides of engaged panels. Furthermore, the storage shed can come with pre-constructed shelf grooves in the foldable corner panels. The storage shed can have a concaved door frame and a recessed door.

The present subject matter discloses an outdoor storage shed utilizing plastic components or panels. A storage shed structure can comprise foldable corner panels, which pivot at integrated folding grooves to serve as corners. Each leaf of a foldable corner panel can be fitted with a unique coupling mechanism to interact with an additional panel. Furthermore, the storage shed structure can come with pre-constructed shelf grooves in the foldable corner panels. Storage shelves can be slotted into these grooves, thereby boosting the overall stability of the storage shed.

A data processing system implements receiving a first prompt including a style visual content item and a topic content item and requesting generating an output visual content item; constructing a second prompt as an input to a first generative model, by appending the style visual content item and the topic content item to a first instruction string that comprises instructions to the first generative model to generate a textual description combining a topic in the topic content item with a style in the style visual content item as a third prompt; inputting the third prompt into a second generative model to generate the output visual content item by including the topic in the output visual content item and replacing visual element(s) of the style visual content item based on the topic while preserving the style; and providing the output visual content item to be presented on a user interface.

In one embodiment, a method herein comprises: extracting topics from queries submitted into a large language model; determining a quality of outputs from the large language model in response to the queries; assessing per-topic performance of the large language model across the topics queried into the large language model based on the quality of the outputs; determining one or more underperforming topics for the large language model based on the per-topic performance of the large language model across the topics; and performing one or more mitigation actions based on the one or more underperforming topics for the large language model. In one implementation, the method comprises: displaying a user interface that indicates the per-topic performance of the large language model across the topics as a heatmap, and delineating the one or more underperforming topics specifically within the heatmap.

Provided are a dialogue processing method and apparatus, and an electronic device, a storage medium, a computer program product and a computer program, which relate to the technical field of computers and specifically relate to the technical fields of artificial intelligence such as large language models, natural language processing, knowledge graphs, and deep learning. The specific implementation scheme comprises: acquiring a topic of the current dialogue of a first user and a first historical dialogue library associated with the first user; determining the similarity between the topic of the current dialogue and each historical dialogue in the first historical dialogue library; on the basis of the similarities, acquiring a plurality of candidate historical dialogues from the first historical dialogue library; on the basis of the forgetting coefficient and weight of each candidate historical dialogue, acquiring a reference dialogue from the plurality of candidate historical dialogues; and generating a reply statement on the basis of the reference dialogue and the topic of the current dialogue.

A computer-implemented method of using affinity profiles to determine at least one audience category that is expected to consume a selected item of content, the method comprises:obtaining affinity profiles for a plurality of users of a content distribution system, wherein each affinity profile comprises at least one selected affinity category or affinity category score, and the affinity categories are selected from a stored set of affinity categories, each representing a user's affinity for a respective subject area;determine an audience that is expected to consume the selected item of content based on the affinity profiles of the users.

The subject matter herein provides a method of product concept modification, the method comprising: receiving a product concept; identifying factors from on an attitudinal data asset in relation to the received product concept; providing the product concept and the factors as an input to generative AI to produce a modified product concept. The subject matter also relates to a method and system for automated manufacture in which the generated or modified concept is provided to a manufacturing facility or function. The subject matter also relates to products produced in this manner.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate predicted relationships for entities of a temporal knowledge graph using enhanced entity representations. For instance, in one or more embodiments, the disclosed systems generate a query for predicting a relationship for a subject entity represented within a temporal knowledge graph. The disclosed systems further determine an enhanced entity representation generated for the subject entity by an enhancement layer of a temporal knowledge graph completion model, the enhanced entity representation including a combination of a connection-based similarity for the subject entity and a relationship-based similarity for the subject entity. Using the temporal knowledge graph completion model and based on the enhanced entity representation of the subject entity, the disclosed systems generate a predicted relationship for the subject entity.

In some embodiments, the inventive subject matter is directed to a modular waders system that includes: a main waders garment and a covering unit. The covering unit may have multiple functions expressed in one or more layers, the functions being selected from the group of: durability, waterproofness or water resistance, breathability, insulation, cushioning, thermoregulation, and 2-way or 4-way elasticity. The waders system includes a coupling system that makes the covering unit easily donned or removed by the user as conditions dictate. In some embodiments, the inventive subject matter is directed to waders or other garment having a frontside portion with a mobile device holder comprising a flap, the holder configured to contain or couple to a handheld imaging device having a camera, the flap having one edge portion coupled to the other side so that the flap can reposition from a first position to a second position.

Example solutions for reducing the likelihood of hallucinations by language models, such as large language models (LLMs) are disclosed. By injecting a sufficient range and quantity of curated factual data into a prompt, the likelihood of a hallucination by an LLM may be reduced. This enables language models to be used in a wider range of settings, in which fabrication of facts is problematic, while reducing the need for a human to carefully check the generated text for accuracy. Examples include: generating a summary of a transcript using a summarization model; extracting topic-specific data from stored data using a scoring model; dynamically generating a language model prompt using the topic-specific data and the summary; and generating an output text using a language model and the language model prompt.

Disclosed herein are apparatus, system, method, and computer-readable medium aspects for extracting themes from textual data. Textual data is initially cleansed from its submitted form into a simplified form for improved accuracy of topic extraction. From the cleansed text, phrases are extracted. Embeddings of the phrases are then determined so that similarities can be identified between different phrases within the text. Using these embodiments, clustering is performed on the embeddings to reveal the topics included within the text submission, as well as their frequency and relationship to one another. This clustering processing can be repeated at multiple levels of granularity for improved accuracy. Based on an analysis of the resulting clusters, a graphical representation of the clusters at the various levels is generated to provide an easy-to-understand indication of the body of text and the topics and themes included therein.

The present subject matter discloses an outdoor storage shed utilizing molded plastic components or panels. A storage shed structure can comprise foldable corner panels and one or more interlocked teeth couplings. The foldable coner panel can pivot at integrated folding grooves to serve as corners. The interlocked teeth couplings comprise a plurality of protrusions and matched recesses arranged on both sides of engaged panels. Furthermore, the storage shed can come with pre-constructed shelf grooves in the foldable corner panels. The storage shed can have a concaved door frame and a recessed door.

The present subject matter discloses an outdoor storage shed utilizing plastic components or panels. A storage shed structure can comprise foldable corner panels, which pivot at integrated folding grooves to serve as corners. Each leaf of a foldable corner panel can be fitted with a unique coupling mechanism to interact with an additional panel. Furthermore, the storage shed structure can come with pre-constructed shelf grooves in the foldable corner panels. Storage shelves can be slotted into these grooves, thereby boosting the overall stability of the storage shed.

The present subject matter discloses an integrated hinge structure for plastic boards. The integrated hinge structure has a simplified design that is screw-free and convenient to assemble. It also has a relatively lower manufacturing cost. The integrated hinge structure can comprise a first board and a second board that can be coupled to each other. Furthermore, the first board is divided into a first turning portion and a second turning portion by an embedded groove hinge. The second turning portion is further detachably connected to the second board. The integrated hinge structure further comprises fixation features to render the constructed assembly stable and durable.

The invention belongs to the technical field of natural language processing, discloses a historical dialogue screening method and device for a dialogue system, and solves the problems that according to a historical dialogue screening scheme in the traditional technology, cross-time and cross-theme content may be omitted, dialogues without obvious keywords are difficult to process, the screening result deviates from user expectation, and the screening effect is poor. And the effect of screening dialogues lacking obvious intentions is poor. The method comprises the following steps: storing historical dialogue data between a user and a dialogue system based on the time and theme of a dialogue; when historical dialogue screening is carried out, firstly, the similarity between a current question and stored historical dialogue data is calculated, and weighted fusion of semantic similarity, keyword similarity, theme similarity and context similarity is included; and then based on a preset dialogue screening threshold, combining a similarity calculation result of the current question and the stored historical dialogue data, and screening out historical dialogue data most related to the current question from the stored historical dialogue data. The method is suitable for the dialogue system.

Herein are techniques for topic modeling and content perturbation that provide machine learning (ML) explainability (MLX) for natural language processing (NLP). A computer hosts an ML model that infers an original inference for each of many text documents that contain many distinct terms. To each text document (TD) is assigned, based on terms in the TD, a topic that contains a subset of the distinct terms. In a perturbed copy of each TD, a perturbed subset of the distinct terms is replaced. For the perturbed copy of each TD, the ML model infers a perturbed inference. For TDs of a topic, the computer detects that a difference between original inferences of the TDs of the topic and perturbed inferences of the TDs of the topic exceeds a threshold. Based on terms in the TDs of the topic, the topic is replaced with multiple, finer-grained new topics. After sufficient topic modeling, a regional explanation of the ML model is generated.

The subject matter described in this disclosure can be embodied in methods, systems, and program products for receiving user input that selects an arrangement of surgical instrument trays for use during a surgical procedure. A display device presents a graphical representation of the selected arrangement of surgical instrument trays. A computing system receives image data depicting multiple actual surgical instrument trays; and analyzes the image data to determine an extent to which the multiple actual surgical instrument trays and actual surgical instruments located on the trays match the selected arrangement of surgical instrument trays. The display device presents a graphical indication of the extent to which the multiple actual surgical instrument trays match the selected arrangement of surgical instrument trays.

The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claims require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed example. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.

System and method for generating custom content and reports about a subject based on user input received from a human user and potentially from one or more other sources related to the subject is disclosed. The system and method dynamically prompt one or more deep learning models using the user input to generate custom content, which is then incorporated into a draft report. The prompts may potentially incorporate an author persona characterizing a user, which may include an entity user, and in some embodiments the author persona may have been previously generated based on prior publications or editing. In some embodiments, individualized data may be obscured and confounding data may be included when prompting the one or more deep learning models. An editor may edit the draft report, including making refinements to the custom content, enabling the creation of tailored reports that reflect the user's intent and preferences.

The subject technology receives an input image, the input image comprising a selfie. The subject technology transforms, using a neural network, the input image to a latent representation of an identity. The subject technology transforms, using a diffusion model, a text condition to a second latent representation compatible with the latent representation of the identity. The subject technology transforms a pose template to a set of latent features for the diffusion model. The subject technology generates an intermediate image based on the latent representation of the identity, the second latent representation, and the set of latent features. The subject technology modifies, using a face enhancement network, the intermediate image based on the input image. The subject technology generates, using a face restoration network, a final output image based on the modified intermediate image. The subject technology provides for display the final output image on a display of a client device.

Subject matter related to data management is disclosed. Snapshots of a target object in a computing system may be stored, where the snapshots may correspond to multiple versions of the target object. A first indication that information in a snapshot of the snapshots is flagged for quarantine may be obtained. Based on receiving the first indication, a second indication that the information in the snapshot is prohibited from being restored during a restoration operation for the target operation may be generated. The second indication that the information in the snapshot is prohibited from being restored may be stored.

Systems and methods for automatically creating and updating course materials are disclosed. A learning management (LM) system in accordance with the present disclosure comprises at least one memory and a processor in communication with the at least one memory. The processor is programmed to receive, from a teacher or other user, topic data corresponding to one or more lessons. The processor may be further configured to apply the topic data to one or more trained machine learning models to generate a topic summary corresponding to the one or more lessons; cause to be displayed, on a user computing device, the topic summary corresponding to the one or more lessons via a topic summary user interface; receive feedback on the one or more lessons via the topic summary user interface; and update a course syllabus based on the feedback on the one or more lessons.

The present application provides a video segmentation method, a server, a storage medium, and a program product. In the method of the present application, video data to be segmented is segmented into multiple data segments, unimodal features of the data segments, including text features of a text modality and visual features of a visual modality, are respectively extracted by means of a video topics segmentation model, and then the text features and visual features of the data segments are fused, so that the fusion of multimodal information can be performed at the intermediate representation level, the relationship and interaction between different modalities can be better captured, and higher-quality multimodal fusion features of the data segments are obtained. Furthermore, on the basis of the multimodal fusion features of the data segments, whether the data segments are topic boundaries is predicted, so that the topic boundaries of the video data can be accurately predicted, improving the accuracy of topic boundary recognition, thereby improving the accuracy and quality of video topics segmentation results.

Provided is a robot control device making it possible to implement interlocking control with a numerical control device that has a plurality of control systems, without creating further complication. A robot control device 3 is provided with: a program input unit 32 for acquiring, from a storage unit 31, a robot control program for controlling a robot 30; an analysis unit 33 for analyzing the robot control program inputted from the program input unit 32, and acquiring a read command and a write command with which are set a variable of a numerical control program for controlling a numerical control device 2 and system information for identifying a subject system from among the plurality of control systems of the numerical control device; a system setting unit 37 for outputting a command for reading / writing a variable of the subject system on the basis of the information acquired by the analysis unit 33; and a data communication unit 39 for transmitting the command for reading / writing the variable of the subject system to the numerical control device 2, thereby causing the numerical control device 2 to update the variable of the subject system.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating time-based interactive digital representations of a subject. Various aspects may include receiving a request for generating the interactive digital representations, wherein the request specifies the subject. Aspects may also include determining a time period covering a time span associated with the request. Aspects may also include retrieving contextual information associated with the subject and restricted by the time period. Aspects may also include generating, based on the contextual information, a model representing a persona of the subject in the time period. Aspects may include outputting an interactive digital representation of the model in a user interface (e.g., a conversational agent in a messaging application or avatar in a virtual environment), enabling user interactions with the model.

The present subject matter provides a shovel configured to attach to a distal edge of an endoscope and protrude from a lower part of the distal edge, and an endoscope comprising the shovel attached to a distal edge of the endoscope. Additional embodiments of the shovel and the endoscope comprising the shovel are disclosed herein.

Embodiments of the disclosed subject matter provide a system having at least one carrier gas source, at least one heated container that includes organic material, and a jet array print head that includes a plurality of apertures to print lines on a substrate, and that is connected to a vacuum source. The system includes a pair of gas bearing plates, with a top gas bearing plate and a bottom gas bearing plate, each having a plurality of pressure apertures and vacuum apertures. The top gas bearing plate applies a uniform force to a top surface of the substrate, and the bottom gas bearing plate applies a uniform force to a bottom surface of the substrate. The top gas bearing plate includes a slot configured for the print head to fit within. The vacuum apertures are arranged perpendicular to a direction of travel of the substrate.

The subject technology receives an input image and a segmentation mask of the input image. The subject technology obtains reconstructed noise of the input image using the input image and the segmentation mask. The subject technology determines a first set of features by performing a first portion of a forward pass of the reconstructed noise through a decoder. The subject technology determines a second set of features by processing the input image for stable diffusion using an image to image (IMG2IMG) model. The subject technology generates a third set of features based on combining, using the segmentation mask, the first set of features and the second set of features with the reconstructed noise. The subject technology generates an output image by performing a remaining portion of the forward pass of the third set of features through the decoder.

The subject matter described herein discloses apparatus, systems, techniques, and articles for an MEIA (Modular, Extensible, Interoperable Autonomy) architecture that enables a vehicle or autonomous agent with minimal human guidance to perform solo and collaborative missions with other vehicles. The MEIA architecture includes four layers—Awareness, Strategy, Tactics, and Execution. The Execution Layer bookends a single loop through the layers by observing and acting. The Awareness Layer orients, and the Strategy Layer and Tactics Layer split the responsibility of deciding.