Abstract: In some embodiments, a method receives a text prompt and executes a text encoder on the text prompt to generate an embedding representation. A set of base images is generated based on the embedding representation and parameters of a base image generation model. A high resolution model is executed to upsample one or more base images in the set of base images based on parameters of the high resolution model to generate a set of final images. The method ranks the set of base images or the set of final images using reward values that are generated by a reward model. The reward model is trained using human input that provided feedback on a quality of generated images using the base image generation model and the high resolution model. One or more final images are output based on the ranking in response to the text prompt.

Abstract: Glass-based articles comprise stress profiles providing improved fracture resistance. The glass-based articles herein provide high fracture resistance after multiple drops.

Abstract: Glass-based article including a first surface and a second surface opposing the first surface defining a thickness (t), and a stress profile are disclosed having a thickness (t) of about 3 millimeters or less, and wherein all points of the stress profile between a thickness range from about 0·t up to 0.3·t and from greater than 0.7·t, comprise a tangent with a slope that is less than about ?0.1 MPa/micrometers or greater than about 0.1 MPa/micrometers. Also disclosed are glass-based articles having a thickness (t) in a range of 0.1 mm and 2 mm; and wherein at least one point of the stress profile in a first thickness range from about 0·t up to 0.020·t and greater than 0.98·t comprises a tangent with a slope of from about ?200 MPa/micrometer to about ?25 MPa/micrometer or about 25 MPa/micrometer to about 200 MPa/micrometer, and wherein all points of the stress profile in a second thickness range from about 0.035·t and less than 0.

Abstract: The disclosed embodiments concern methods for determining sequences of interest using targeted unique molecular index (TUMI) sequences that are uniquely associated with individual polynucleotide fragments in plants, such as those present in a transgenic event, a site-specific mutation or a wild type variant. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.

Abstract: Wellhead system, assembly and method monitors landing or retrieving of wellhead component at pre-determined landed position in main bore of wellhead member of wellhead. System includes running tool, instrument spool and sensor assembly. Running tool couples to wellhead component, lands or retrieves wellhead component within main bore of wellhead member, decouples from wellhead component, and has passive triggering device disposed in or on running tool. Instrument spool is pressure-containing, connects within wellhead at location above landed position of wellhead component, forms bore to align with main bore of wellhead, provides clearance for the wellhead component and running tool to be run therethrough, and has vertical height dimension such that, in pre-determined landed position, passive triggering device is located in bore of instrument spool.

Abstract: Glass-based articles comprise stress profiles providing improved fracture resistance. The glass-based articles herein provide high fracture resistance after multiple drops.

Abstract: The present invention relates to a method for testing a device under test. A component of the device under test generates or receives a bus signal, wherein the bus signal comprises a first data signal or a second data signal, and wherein an amplitude of the first data signal is different from an amplitude of the second data signal. A measurement instrument measures an amplitude of the bus signal. Further, it is determined whether the bus signal comprises the first data signal or the second data signal, based on the measured amplitude of the bus signal.

Abstract: Systems and methods for providing a cropped application window of an application window. The systems include a window cropping application that performs a method that allows a user to crop just the portion of an application window the user is interested in (e.g., play controls for a music app, chat window in a gaming app) and place it in an area of the display with enduring visibility or accessibility (e.g., widget dashboard, desktop). The present technology may also be used for web pages (e.g., tutorial articles, reference images), document pages (e.g., reference pages), applications (e.g., calculators), and other scenarios. For example, the present technology described herein improves multi-window scenarios, particularly on small screen devices where screen space is further limited. The present technology makes it easier for users to work across different windows and applications and improve the ease of composing each window.

Abstract: Systems and methods for providing a cropped application window of an application window. The systems include a window cropping application that performs a method that allows a user to crop just the portion of an application window the user is interested in (e.g., play controls for a music app, chat window in a gaming app) and place it in an area of the display with enduring visibility or accessibility (e.g., widget dashboard, desktop). The present technology may also be used for web pages (e.g., tutorial articles, reference images), document pages (e.g., reference pages), applications (e.g., calculators), and other scenarios. For example, the present technology described herein improves multi-window scenarios, particularly on small screen devices where screen space is further limited. The present technology makes it easier for users to work across different windows and applications and improve the ease of composing each window.

Abstract: Systems and methods for providing a cropped application window of an application window. The systems include a window cropping application that performs a method that allows a user to crop just the portion of an application window the user is interested in (e.g., play controls for a music app, chat window in a gaming app) and place it in an area of the display with enduring visibility or accessibility (e.g., widget dashboard, desktop). The present technology may also be used for web pages (e.g., tutorial articles, reference images), document pages (e.g., reference pages), applications (e.g., calculators), and other scenarios. For example, the present technology described herein improves multi-window scenarios, particularly on small screen devices where screen space is further limited. The present technology makes it easier for users to work across different windows and applications and improve the ease of composing each window.

Abstract: The present invention relates to a method for testing a device under test. A component of the device under test generates or receives a bus signal, wherein the bus signal comprises a first data signal or a second data signal, and wherein an amplitude of the first data signal is different from an amplitude of the second data signal. A measurement instrument measures an amplitude of the bus signal. Further, it is determined whether the bus signal comprises the first data signal or the second data signal, based on the measured amplitude of the bus signal.

Abstract: Systems and methods include receiving a content item between a user device and a location on the Internet or an enterprise network; utilizing a trained machine learning ensemble model to determine whether the content item is malicious; responsive to the trained machine learning ensemble model determining the content item is malicious or determining the content item is benign but such determining is in a blind spot of the trained ensemble model, performing further processing on the content item; and, responsive to the trained machine learning ensemble model determining the content item is benign with such determination not in a blind spot of the trained machine learning ensemble model, allowing the content item. A blind spot is a location where the trained machine learning ensemble model has not seen any examples with a combination of features at the location or has examples with conflicting labels.

Abstract: A system stores a plurality of data models, each data model being configured to sort datasets based on a set of criteria unique to the data model. The system further identifies a plurality of content streams on a plurality of content streaming platforms. The system then executes each data model of the plurality of data models on each content stream of the plurality of content streams to generate a labeled content file of each content stream of the plurality of content streams.

Abstract: The invention relates to a test system, comprising: a test instrument, wherein the test instrument comprises an input port configured to acquire a test signal, a display configured to display a graphical representation of the test signal, and an application interface configured to forward the test signal. The test system further comprises a test application module, which is configured to receive the forwarded test signal from the application interface, wherein the test application module comprises a processing unit configured to further process the received test signal, and an instrument interface configured to forward a result of the further processing back to the test instrument and/or to a further device.

Abstract: A system executes a logo detection data model that processes, using computer processing resources, content data to detect a plurality of logos in the content data. The logo detection data model further automatically labels each detected logo of the plurality of logos in the content data.

Abstract: The invention relates to a test system, comprising: a test instrument, wherein the test instrument comprises an input port configured to acquire a test signal, a display configured to display a graphical representation of the test signal, and an application interface configured to forward the test signal. The test system further comprises a test application module, which is configured to receive the forwarded test signal from the application interface, wherein the test application module comprises a processing unit configured to further process the received test signal, and an instrument interface configured to forward a result of the further processing back to the test instrument and/or to a further device.

Abstract: A system and method for supporting vertical members is disclosed. The invention is comprised of an adjustable jack post with angled flanges on each end that allow it to support leaning vertical members, such as but not limited to bent trees and swollen retaining walls etc. The adjustable jack post can be expanded or retracted under load manually by means of a hand crank that engages a bevel and worm gear system located proximally on the post. An object of the invention is to support and/or correct the angle of vertical members. For example, a user wishing to correct a leaning tree after a storm can anchor one end of the post in the ground, brace the other end against the tree and expand the post slowly over time using the hand crank allowing it to grow upright once again.

Abstract: Systems and methods include receiving content for classification; classifying the content as one of benign and malicious utilizing a model that has been trained with a training set of data including benign data and malicious data; determining a first pattern associated with the content; comparing the first pattern with a second pattern that is associated with one of the benign data and the malicious data; and determining an uncertainty of the classifying based on a distance between the first pattern and the second pattern. The systems and methods can include discarding the classification if the distance is greater than a configurable threshold.

Abstract: Systems and methods include receiving a content item between a user device and a location on the Internet or an enterprise network; utilizing a trained machine learning ensemble model to determine whether the content item is malicious; responsive to the trained machine learning ensemble model determining the content item is malicious or determining the content item is benign but such determining is in a blind spot of the trained ensemble model, performing further processing on the content item; and, responsive to the trained machine learning ensemble model determining the content item is benign with such determination not in a blind spot of the trained machine learning ensemble model, allowing the content item. A blind spot is a location where the trained machine learning ensemble model has not seen any examples with a combination of features at the location or has examples with conflicting labels.

Abstract: Embodiments of the present disclosure are related to electronic commerce within instant messaging. A system may include a commerce server and an instant messaging server. The instant messaging server is configured to support an instant messaging service with an instant messaging client. The instant messaging server may include an application for supporting further communication in the instant messaging service between the instant messaging client and the commerce server. The method includes first instant messaging a query to an instant messaging client and receiving a response to the query at an application at an instant messaging server. The method further includes second instant messaging query results to the instant messaging client with the query results determined at a commerce server and based on the response.