Abstract: Systems and methods describe providing alternate redemption options. One aspect involves receiving an order, analyzing consumer information using a redemption options algorithm to obtain redemption options including an alternate redemption option, providing an initial gift notification to a recipient device based on the gift order, the initial gift notification including the alternate redemption option, receiving an alternate redemption request, transmitting an alternate redemption information request, receiving alternate redemption information, adding alternate redemption information to the historical consumer information to obtain updated historical consumer information, training the redemption options algorithm using the updated historical consumer information to obtain an updated redemption options algorithm, and performing an alternate redemption action set using the alternate redemption information.

Abstract: The invention generally relates to methods of performing a capture reaction. In certain embodiments, the method involves obtaining a nucleic acid, fragmenting the nucleic acid, and capturing a target sequence on the nucleic acid fragment using a capture moiety, such as a molecular inversion probe.

Abstract: Disclosed embodiments describe text-driven AI-assisted short-form video creation. Text from a website is extracted to generate extracted text. Possible summary sentences are formed from the extracted text. The forming is based on natural language processing. The summary sentences are ranked according to an engagement metric. Summary sentences from the possible summary sentences are picked based on a threshold engagement metric value. A list of video scenes is generated based on the summary sentences. Each video scene is associated with a summary sentence. A media asset from a media asset library is chosen for each video scene within the list of video scenes. The choosing is accomplished by machine learning. The list of video scenes, including the media asset that was chosen for each video scene, is compiled into a short-form video. Media is extracted from the website included into the short-form video. The compiling includes a dynamically generated image.

Abstract: Techniques for video generation based on machine learned video template usage are disclosed. A plurality of videos is obtained, and video scene analysis on each video is performed. Video cuts for each video are detected, and objects within each video are identified. The identifying includes detecting a person, face, building, or vehicle. Metadata is categorized for each of the videos based on the scene analysis, the video cuts, and the objects within the videos. Template information is stored, including the categorized metadata, on each of the videos. Each video is stored as a template video along with the template information. The template information on a subset of videos is ranked. A basis video is selected based on the template information. A further video is generated based on the basis video. The further video is stored as a further template video along with the template videos.

Abstract: A device for detaching cells or tissue from a cavity in a subject, the device includes: an elongated member arranged to be moved within a lumen of a needle or a catheter; and at least one flexible member arranged at a distal end of the elongated member, wherein the flexible member is configured to be brought between a first, constrained configuration within the lumen of the needle or catheter, and a second, expanded configuration outside said lumen, wherein the flexible member in the second, expanded configuration is configured to conform to an inner geometry of a cavity in which the device is inserted.

Abstract: Systems and methods for enabling gifting of a gift product on a merchant store front determine eligibility of an abstract product available for purchase on the merchant store front to be selected as a gift product, the abstract product representing a set of all available SKUs for a given product, a gift product representing a subset of all available SKUs for a given abstract product, and the subset including less than all available SKUs for the given abstract product and greater than one available SKU for the given abstract product; generate and place an embedded widget on the merchant store front to determine gift intent to initiate a gift transaction of the gift product; assign at least one representative SKU to represent the gift product; and mimic an orchestrated transaction between a user and the merchant store front prior to final selection of a specific SKU of the gift product.

Abstract: The invention generally relates to methods for determining carrier status with respect to a condition or disease. In certain embodiments, the method involves exposing a sample to a plurality of molecular inversion probes capable of capturing DNA from at least one genomic region suspected of having an altered copy number and at least one internal control DNA known or suspected to have a stable copy number, capturing and sequencing DNA that binds to the molecular inversion probes, and determining a copy number state of the at least one genomic region based on the sequence results.

Abstract: Disclosed embodiments provide techniques for synthesized responses to predictive livestream questions. A livestream featuring a host is accessed and is viewed by one or more viewers. The audio, video, and images from the livestream are analyzed and a plurality of potential questions from the one or viewers is predicted based on the analysis. An answer to each potential question is generated based on a large language model (LLM) neural network. A synthesized video segment is created for each answer generated by a generative AI chatbot linked to a LLM for each potential question. During the livestream, real-time questions from the one or more viewers are detected. The real-time questions are matched to the synthesized video segment answers and the matched synthesized video segment is rendered to the one or more livestream viewers. An ecommerce environment is rendered during the livestream to allow purchasing of products.

Abstract: Disclosed embodiments provide techniques for synthesized realistic metahuman short-form videos. A photorealistic representation of an individual is accessed from media sources including videos, photographs, livestreams, or a 360-degree recording of a human host. The individual can be selected based on information on the viewer of the short-form video, such as purchase history, viewing history, and metadata. The photorealistic representation is isolated using machine learning and is used to create a three-dimensional (3D) model of the individual, based on a game engine. A realistic synthetic performance is created by combining the 3D model of the individual with animation generated by a game engine. The synthesized performance can include the voice of the human host. The synthesized performance is inserted into a metaverse environment and rendered to a viewer as a short-form video, including an ecommerce window with an on-screen product card and virtual purchase cart.

Abstract: Disclosed embodiments provide techniques for immediate livestreams in a short-form video ecommerce environment. A website that includes a plurality of products for sale is accessed. The website is viewed by a plurality of users. One or more groups of users is identified. Each of the one or more groups includes users with an interest in one or more products from the plurality of products for sale. An immediate livestream is created for each group of the one or more groups of users when a number of users within each group is higher than a threshold value. The immediate livestream includes the one or more products. The immediate livestream is rendered within the container unit on the website to each group of the one or more groups of users. An ecommerce purchase of the one or more products is enabled within the immediate livestream.

Abstract: Disclosed embodiments provide techniques for dynamic synthetic video chat agent replacement. A human host receives a request for a video chat initiated by a user. An image for a synthetic host including a representation of an individual is retrieved. The image of the synthetic host is selected based on information about the user. Aspects of the individual included in the image are extracted using one or more processors. A video performance by the human host responding to the statement or query by the user is captured. A synthetic host performance is created in which the video performance of the human host is dynamically replaced by the individual that was extracted so that the synthetic host performance responds to the user statement or query. The synthetic host performance is rendered to the user and supplemented with additional synthetic host performances as the video chat continues.

Abstract: Disclosed embodiments provide techniques for iterative AI prompt optimization for video generation. A first text template to be read by a large language model (LLM) neural network is accessed. The template includes control parameters that are populated from within a website. The populated template is submitted as a request to the LLM neural network, which generates a first video script. The first video script is used to create a first short-form video. The first short-form video is evaluated based on one or more performance metrics. The text template, short-form video, website information, and evaluation are used to train a machine learning model that is used to create a second text template. The second text template can be used to generate a second short-form video. The evaluation of iterative text templates and resulting short-form videos continues until a usable video is produced.

Abstract: A system, method and device for moving gondola cabins in a single vertical loop so as to pass above and below with end stations turning wheels placed vertically. The hauling ropes operate in a vertical loop and permit the vertical circulation of the cabins between stations with passenger boarding and deboarding of the cabins in the stations at two different levels. The system may be twinned to provide two parallel, horizontally adjacent systems operating on common towers to double the capacity of a single system. Both the single and twinned systems possess a smaller footprint than conventional horizontal transport systems.

Abstract: Technologies relating to system and method of real-time video overlaying or superimposing display from multiple mutually synchronous cameras are disclosed. An example method of real-time video overlaying includes the steps of: synchronizing frame rates of a depth data, a face metadata, and a video data of a first camera video output captured by a first camera; determining a first depth between a user face and the first camera; using a cutoff depth to determine a user body contour; generating a binary mask of the user body contour based on the first depth and the cutoff depth; smoothing an edge of the binary mask; merging the binary mask with the first camera video output and generating a merged first camera video output; and overlaying the merged first camera video output onto a second camera video output.

Abstract: A composite safety toothbrush is disclosed, and in particular, methods for making and forming the composite. The toothbrush apparatus detailed herein employs a composite head made from a rigid inner polymer material and a softer thermoplastic material surrounding the inner material. The softer material provides safety for prison toothbrush applications as well as elderly and patient care where care givers may brush the teeth of a patient. Innovative pin connectors in the inner toothbrush head assist in the composite formation. The toothbrush solution herein further importantly provides for a toothbrush having a flexible handle, also providing safety in a prison environment.

Abstract: A method of generating a dosage calculator for determining a dosage of a drug for administering to a patient, the method comprising: receiving population data comprising real population data, and/or simulated population data calculated using a pharmacokinetic-pharmacodynamic, PKPD, model for the drug; and training a machine learning dosage calculator using the population data.

Abstract: Disclosed embodiments provide techniques for livestream with synthetic scene insertion. A prerecorded livestream featuring a host is rendered to one or more viewers. An operator accesses a video segment related to the prerecorded livestream. The related video segment includes a performance by an individual. The operator retrieves an image of the host of the prerecorded livestream and creates from the related video segment a synthesized video segment that includes the performance of the individual accomplished by the host. One or more insertion points are determined within the prerecorded livestream for the insertion of the synthesized video segment. The operator inserts the synthesized video segment into the prerecorded livestream at the one or more determined insertion points. The insertion is accomplished dynamically and appears seamless to the viewer. The remainder of the prerecorded video is rendered to the one or more viewers after the insertion point.

Abstract: Disclosed embodiments provide techniques for connected television livestream-to-mobile device handoff in an ecommerce environment. A livestream or livestream replay is accessed on a device for connected television (CTV) that facilitates delivery of streaming video content to a user. A quick response (QR) code is revealed on the CTV device. A user scans the QR code with a camera located on a mobile device, and the QR code redirects the mobile device to a website. The website enables participation in a livestream using the mobile device. Products for sale can be highlighted by a livestream host during the livestream. The products for sale can be identified and an ecommerce purchase of the products for sale can be enabled. Promotions related to the products for sale can be displayed to the user on the CTV and mobile device during the ecommerce purchase process.

Abstract: Disclosed embodiments provide techniques for augmented performance replacement in a short-form video. A short-form video is accessed, including a performance by a first individual. Using one or more processors, the performance of the first individual is isolated. Specific elements of the performance including gestures, clothing, expressions, and accessories are included in the isolation process. An image of a second individual is retrieved and information on the second individual is extracted from the image. A second short-form video is created by replacing the performance of the first individual with the second individual. The second short-form video is augmented based on viewer interaction. The augmenting of the second short-form video occurs dynamically. The augmenting includes additional audio content based on comments, responses to live polls or surveys, or questions and answers from viewers. The augmenting includes switching audio content in the second short-form video with additional audio content.