Abstract: An image sensing system control method, comprising: (a) defining a first reporting frame sensed at a first reporting frame time, and a second reporting frame sensed at a second reporting; (b) acquiring a first motion of the image sensing system for a first latency time interval between a first polling time and the first reporting frame time; (c) computing a second motion of the image sensing system for a first calibration time interval by the image sensor, wherein the first calibration time interval comprises a first frame time interval between the first, the second reporting frame times, and comprises a first expected latency time interval after the second reporting frame time; and (d) outputting a first output motion to the control circuit by the image sensor, thereby a difference between the first output motion and a physical movement of the image sensing system is smaller than a predetermined value.

Abstract: In some examples, a database system includes processing modules with access to a remote object store and a local database storage associated with the database system. The processing modules perform a database operation that involves use of a plurality of instances of spool data. The processing modules store a first instance of spool data in the remote object store based on a first characteristic of the first instance of spool data, and the processing modules store a second instance of spool data in the local database storage based on a second characteristic of the second instance of spool data.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for identifying speaker names in transcripts. In particular, in one or more embodiments, the disclosed systems determine, from a set of sentences in a textual transcript of a dialogue, a first sentence spoken by a first speaker and a second sentence spoken by a second speaker. Additionally, in some embodiments, the disclosed systems generate a first feature representation for the first sentence and a second feature representation for the second sentence. Moreover, in some embodiments, the disclosed systems determine a speaker name for at least one of the first sentence or the second sentence by comparing each of the first feature representation and the second feature representation with a name representation for a name spoken in at least one of the first sentence or the second sentence.

Abstract: An image sensing system control method, applied to an image sensing system comprising an image sensor and a control circuit. The method comprises: (a) defining a first reporting frame sensed at a first reporting frame time and a second reporting frame sensed at a second reporting frame time, wherein the image sensor reports motions computed according to the first reporting frame after the first reporting frame time, and reports motions computed according to the second reporting frame after the second reporting frame time; and (b) adjusting a first reporting time interval between the first reporting frame time and the second reporting frame time, to adjust the second reporting frame time to meet a second target time. The second reporting frame time is after the first reporting frame time.

Abstract: The present invention discloses a pyrrolidine derivative or its optically active isomer, or a pharmaceutically acceptable salt thereof, which is useful as an NAMPT inhibitor, and useful as a potential agent for the chemotherapy of a variety of diseases associated with abnormal NAD+ expression. The pyrrolidine derivative has pyrrolidine as a parent structure, to which pyridinylurea (or substituted pyridinylurea) is attached by an intermediate aliphatic chain, and a side arylformyl (or heterocyclylformyl) group is attached. This structure is an optimized structure of the NAMPT inhibitor FK866, in which the acrylamido group is replaced by a urea structure, to increases the water solubility of the compound. Moreover, the difficulty in synthesis is reduced accordingly, which is conducive to the subsequent industrial production.

Abstract: An image sensing system control method, applied to an image sensing system comprising an image sensor and a control circuit. The method comprises: (a) defining a first reporting frame sensed at a first reporting frame time and a second reporting frame sensed at a second reporting frame time, wherein the image sensor reports motions computed according to the first reporting frame after the first reporting frame time, and reports motions computed according to the second reporting frame after the second reporting frame time; and (b) adjusting a first reporting time interval between the first reporting frame time and the second reporting frame time, to adjust the second reporting frame time to meet a second target time. The second reporting frame time is after the first reporting frame time.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for 3D model generation include obtaining a plurality of input images depicting an object and a set of 3D position embeddings, where each of the plurality of input images depicts the object from a different perspective, encoding the plurality of input images to obtain a plurality of 2D features corresponding to the plurality of input images, respectively, generating 3D features based on the plurality of 2D features and the set of 3D position embeddings, and generating a 3D model of the object based on the 3D features.

Abstract: An image sensing system control method, comprising: (a) defining a first reporting frame sensed at a first reporting frame time, and a second reporting frame sensed at a second reporting; (b) acquiring a first motion of the image sensing system for a first latency time interval between a first polling time and the first reporting frame time; (c) computing a second motion of the image sensing system for a first calibration time interval by the image sensor, wherein the first calibration time interval comprises a first frame time interval between the first, the second reporting frame times, and comprises a first expected latency time interval after the second reporting frame time; and (d) outputting a first output motion to the control circuit by the image sensor, thereby a difference between the first output motion and a physical movement of the image sensing system is smaller than a predetermined value.

Abstract: Systems and methods for generating a 3D model from a single input image are described. Embodiments are configured to obtain an input image and camera view information corresponding to the input image; encode the input image to obtain 2D features comprising a plurality of 2D tokens corresponding to patches of the input image; decode the 2D features based on the camera view information to obtain 3D features comprising a plurality of 3D tokens corresponding to regions of a 3D representation; and generate a 3D model of the input image based on the 3D features.

Abstract: Embodiments are disclosed for reflowing documents to display semantically related content. The method may include receiving a request to view a document that includes body text and one or more images. A trimodal document relationship model identifies relationships between segments of the body text and the one or more images. A linearized view of the document is generated based on the relationships and the linearized view is caused to be displayed on a user device.

Abstract: A pointing method, applied to a pointing device comprising a processing circuit, comprising: (a) receiving input delta by the processing circuit, wherein the input delta indicates supposed movement of the pointing device; (b) adjusting the input delta to generate output delta by the processing circuit, wherein the input delta has a first magnitude and the output delta has a second magnitude, wherein the second magnitude is smaller than or equal to the first magnitude; and (c) output the output delta by the processing circuit.

Abstract: The disclosed method generates helpful training data for a language model, for example, a model implementing a punctuation restoration task, for real-world ASR texts. The method uses a reinforcement learning method using a generative AI model to generate additional data to train the language model. The method allows the generative AI model to learn from real-world ASR text to generate more effective training examples based on gradient feedback from the language model.

Abstract: This application provides a motor, a watercraft propeller, and a watercraft. The motor includes: a housing with a cavity filled with insulating liquid; a stator fixed inside the cavity, with an inner rotating cavity on its inner side; and a agitation structure, rotating inside the inner rotating cavity, at least partially immersed in the insulating liquid, and configured to agitate the insulating liquid in a centrifugal or rotational form to contact and cool the stator. The agitation structure agitate the insulating liquid to the inner peripheral surface of the stator, allowing the stator to obtain the insulating liquid from the inner peripheral surface, ensuring uniform contact and heat exchange between the stator and the insulating liquid.

Abstract: A connected component analysis (CCA) method, which can use labels repeatedly, comprising: defining a label pattern comprising a label and a plurality of neighboring labels; setting a center label of a current pixel of a target binary image according to a binary value of the current pixel and the neighboring pixels; setting at least two of the neighboring labels according to whether the current pixel is in any one of a first row, a first column and a last column; and recording the center label to a label buffer. Labels for marking pixels of the target binary image are first center labels, and then are second center labels, and are the first center labels again after the labels are the second center labels.

Abstract: A pointing method, applied to a pointing device comprising a processing circuit, comprising: (a) receiving input delta by the processing circuit, wherein the input delta indicates supposed movement of the pointing device; (b) adjusting the input delta to generate output delta by the processing circuit, wherein the input delta has a first magnitude and the output delta has a second magnitude, wherein the second magnitude is smaller than or equal to the first magnitude; and (c) output the output delta by the processing circuit.