Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: An electronic device is provided. The electronic device includes a first housing, a second housing coupled to the first housing, a plurality of first adhesive portions arranged between the first housing and the second housing, and spaced apart from each other along a first perimeter portion of the first housing, and a plurality of second adhesive portions arranged between the plurality of first adhesive portions and arranged along a second perimeter portion of the first housing, wherein the first adhesive portions include an adhesive support portion extending in one direction and a first adhesive material arranged on one side or both sides of the adhesive support portion, and the second adhesive portions include a second adhesive material.

Abstract: In at least one embodiment, under the control of a robotic control system, a gripper on a robot is positioned to grasp a 3-dimensional object. In at least one embodiment, the relative position of the object and the gripper is determined, at least in part, by using a camera mounted on the gripper.

Abstract: Methods and systems for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a set of pre-determined discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a psoriasis segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body PASI score based a psoriasis segmentation and the intermediate scores on the for displaying on a device to assist in diagnosis.

Abstract: The invention proposes False targets caused by reflection position determining system and solution for the SSR which helps determine reflected real target's coordinate, reflector's coordinate and features, coordinate and features of the false target (multipath target) and using these data as the basis to build up the multipath target suppressing system, guaranteeing the detecting ability of the radar. The proposed system contains: Input data generating component; False target position (multipath position) determining component; Reflected signal power comparison calculating component; Displaying and data transferring component; Reflected multipath targets suppressing component.

Abstract: Methods and systems for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of electronic designs. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to retain important information needed, based on the design rules for the set of electronic designs.

Abstract: A processor includes a loop detection unit to detect a phantom-loop based on the resources reserved for execution of the phantom loop. The processor executes the phantom loop by reading source operand data on a first iteration of the loop and writing back data on the last iteration of the loop while allowing instructions after the loop to be concurrently executed.

Abstract: A processor includes a time counter, a vector coprocessor, and an extended vector register file for executing vector instructions and extending the data width of vector registers. The processor statically dispatches vector instructions with preset execution times based on a write time of a register in a coprocessor register scoreboard and a time counter provided to a vector execution pipeline.

Abstract: A processor includes a loop detection unit to detect an OOO-loop based on the reserved resources for execution of the OOO loop. The processor executes the OOO loop by reading source operand data on first iteration of the loop and write back data on the last iteration of the loop while allowing instructions after the loop to be concurrently executed.

Abstract: A processor includes a time counter, a vector coprocessor, and a vector data buffer for executing vector load and store instructions. The processor handles unit, stride or indices of data elements of a vector register. The vector data buffer includes crossbar switches for coupling between a plurality of data elements of a vector register and a plurality of data banks of the vector data buffer.

Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

Abstract: Provided is an electronic device including: a housing; a camera module oriented in a first direction inside the housing; a camera window arranged in front of the camera module in the first direction; a cover including an opening into which the camera window is insertable, the cover coupled to the housing; and a window frame supporting the camera window and mounted on the cover. The window frame includes: a frame body including a support portion arranged in the opening and supporting the camera window, and a mounting portion extending from the support portion in a second direction that is perpendicular to the first direction and overlapped by the cover in the first direction; a retention member retaining a first gap between the mounting portion and the cover in the first direction; and a waterproof body configured to be elastically deformed while arranged between the mounting portion and the cover.

Abstract: Disclosed is a method of capturing an image of diagnostic test results. The method may include acquiring an image of a diagnostic test positioning card using an image capture device, determining the presence of a plurality of fiducial images on the test positioning card, determining the presence of a diagnostic test result carrier placed on the test positioning card and verifying positioning of the test result carrier on the test positioning card. An image of the test result carrier may then be captured. The method may also include acquiring an image of a test result carrier using an image capture device, determining image features in the image of the test result carrier and verifying positioning of the test result carrier relative to the image capture device using the image features. An image including the test result carrier may then be captured.

Abstract: A system, for example, a multi-tenant system performs upgrades of database management systems deployed on a cloud platform. The database management system is stored on the cloud platform in a data storage unit for storing data of the database, and an instructions storage unit for storing executable instructions. A cloud platform image comprising instructions for the database management system is received. A cloud platform image is deployed on a new instructions storage unit. An upgraded database management system is built by providing the new instructions storage unit with access to the data storage unit. In an embodiment, the database management system is used by a multi-tenant system and stores a multi-tenant schema. The structure of the multi-tenant schema is defined using a multi-tenant schema template that is included in the instructions storage unit.

Abstract: A processor includes a time counter and issuing instruction and executing instruction at a future time which is based on the time counter. The execution times are based on fixed latency times of instructions with exception of the load instruction which is based on the data cache hit latency time. A data cache miss causes the load instruction to fetch data from the level 2 cache wherein a time tracker unit adjusts the level 2 cache latency time based on a counter.

Abstract: Methods for generation of shape data for a set of electronic designs include inputting a set of shape data, where the set of shape data represents a set of shapes for a device fabrication process. A convolutional neural network is used on the set of shape data to determine a set of generated shape data, where the convolutional neural network comprises a generator trained with a pre-determined set of discriminators. The set of generated shape data comprises a scanning electron microscope (SEM) image.

Abstract: The present invention provides a noise modeling method to improve the speech recognition quality to help the recognition system perform better in real-life environments. With this method, we not only add noise to the training audio signal to simulate different environments, but we also add noise labels to the speech transcripts. Since then, the recognition model will perform better in different environments and increase the accuracy of the recognition model.

Abstract: A processor includes a time counter and a vector coprocessor for executing vector instructions and providing a method for statically dispatching vector instructions with preset execution times based on a write time of a register in a coprocessor register scoreboard and a time counter provided to a vector execution pipeline.

Abstract: In at least one embodiment, under the control of a robotic control system, a gripper on a robot is positioned to grasp a 3-dimensional object. In at least one embodiment, the relative position of the object and the gripper is determined, at least in part, by using a camera mounted on the gripper.