Abstract: A learning computer system may include a data processing system and a hardware processor and may estimate parameters and states of a stochastic or uncertain system. The system may receive data from a user or other source. Parameters and states of the stochastic or uncertain system are estimated using the received data, numerical perturbations, and previous parameters and states of the stochastic or uncertain system. It is determined whether the generated numerical perturbations satisfy a condition. If the numerical perturbations satisfy the condition, the numerical perturbations are injected into the estimated parameters or states, the received data, the processed data, the masked or filtered data, or the processing units.

Abstract: Systems, methods, devices, and other techniques for training a trajectory planning neural network system to determine waypoints for trajectories of vehicles. A neural network training system can train the trajectory planning neural network system on the multiple training data sets. Each training data set can include: (i) a first training input that characterizes a set of waypoints that represent respective locations of a vehicle at each of a series of first time steps, (ii) a second training input that characterizes at least one of (a) environmental data that represents a current state of an environment of the vehicle or (b) navigation data that represents a planned navigation route for the vehicle, and (iii) a target output characterizing a waypoint that represents a target location of the vehicle at a second time step that follows the series of first time steps.

Abstract: An organic light emitting display apparatus can include a substrate including a display area and a bending area, a routing wiring disposed in the bending area of the substrate, and an oxide thin layer disposed between the substrate and the routing wiring.

Abstract: Training risk determination models based on a set of labeled data transactions. A first set of labeled data transactions that have been labeled during a review process is accessed. A first risk determination model is trained using the first set of labeled data transactions. A first risk score for data transactions of a set of unlabeled data transactions is determined using the first risk determination model. Data transactions in the set of unlabeled data transactions are newly labeled based on the first risk score. The newly labeled data transactions are added to a second set of labeled data transactions that include the first set of labeled data transactions. A second risk determination model is trained using at least the second set of labeled data transactions. A second risk score is determined for subsequently received data transactions and these data transactions are rejected or approved based on the second risk score.

Abstract: Embodiments of the present invention are directed to fabrication method and resulting structures for forming interconnects using a conductive spacer configured to prevent a short between a via and an adjacent line. In a non-limiting embodiment of the invention, a first conductive line and a second conductive line are formed in a metallization layer. A conductive spacer is formed on the first conductive line and a conductive via is formed on a surface of the conductive spacer. The conductive via is positioned such that the conductive spacer is between the first conductive line and the conductive via. A height of the conductive spacer is selected to provide a predetermined distance from the conductive via to the second conductive line. The predetermined distance from the conductive via to the second conductive line is sufficient to prevent a short between the conductive via and the second conductive line.

Abstract: A data analysis device that analyzes data having a record including an objective variable and a plurality of explanatory variables includes a node generating unit that generates a node specified by a condition of the explanatory variable on the basis of the objective variable and the explanatory variable of the record and associating the record with the node, an evaluation value generating unit that generates a proportion of the number of records whose target value is the objective variable among a plurality of records associated with the node as an evaluation value, and a parameter extracting unit that selects a node on the basis of the evaluation value and extracts and outputs the condition of the explanatory variable related to the selected node.

Abstract: In one embodiment, a method includes accessing a first distortion definition for a first color component and a second distortion definition for a second color component; generating, for a pixel, a first ray for the first color component of the pixel and a second ray for the second component of the pixel; defining trajectories for the first and second rays using the first and second distortion definitions, respectively; casting, from a viewpoint in a 3D space, the first and second rays into the 3D space using the defined trajectories; computing, for the first and second rays, a first intersection location and a second intersection location with one or more objects in the 3D space; and determining a color value for the pixel based on the first and second intersection locations.

Abstract: Adaptive sampling of pixels is disclosed. In some embodiments, a rendering of a scene is generated by sampling each pixel of the rendering with a prescribed number of samples. Subsequently, those pixels of the rendering that do not satisfy a noise threshold are iteratively sampled with an additional sample during each iteration until all pixels of the rendering satisfy the noise threshold. The noise threshold is associated with noise arising due to under sampling. Pixels comprising the completed rendering are not uniformly sampled.

Abstract: An artificial intelligence apparatus for calibrating a color of a display panel includes a camera configured to capture an image displayed by the display panel; and a processor configured to: transmit a signal for outputting a color reference image to the display panel, receive, via the camera, a captured image for the display panel, calculate a color offset for the display panel in a predetermined unit based on the color reference image and the captured image, determine an output color calibration value for the display panel using the calculated color offset, and transmit the determined output color calibration value to the display panel.

Abstract: One embodiment provides a user interface (UI) that permits users to select how point cloud colorings determined from multiple data sources are blended together in a rendering of a point cloud. The data sources may include photographic, label, and/or LIDAR intensity data. To improve frame rates, an aggregated point cloud may be generated using a spatial hash of a large set of points and sampling of each hash bucket based on the number of points therein and a user-configurable density. Sizes of points in the point cloud may decrease proportionally to distance from a viewer, but increase based on an activation function that enlarges points greater than a threshold distance from the viewer. In addition, luminance statistics for sub-regions of photographic data and dominant colors determined from photographic data may be used to automatically determine color properties to apply to a point cloud coloring.

Abstract: Implementations of the present specification provide abnormal sample prediction methods and apparatuses. The method includes: obtaining a sample to be tested, wherein the sample to be tested comprises feature data with a given dimension, and wherein the given dimension is a first quantity; performing dimension reduction processing on the sample to be tested by using multiple dimension reduction methods to obtain multiple processed samples; inputting the multiple processed samples to multiple corresponding processing models to obtain scores of the multiple processed samples, wherein an ith processing model Mi in the multiple processing models scores the corresponding processed sample Si based on a hypersphere Qi; determining a comprehensive score of the sample to be tested based on scores of the multiple processed samples; and classifying, based on the comprehensive score, the sample to be tested as an abnormal sample.

Abstract: An electronic device may include: a camera, a display, a processor operatively coupled to the camera and the display, and a memory operatively coupled to the processor. The memory may store a plurality of avatar templates containing a plurality of gestures and instructions. The instructions, when executed by the processor may control the electronic device to: obtain an image of an external object using the camera, obtain a value of at least one parameter corresponding to an emotion state based on the obtained image, select an avatar template including a first gesture from among the plurality of avatar templates based on the value of the at least one parameter, generate an avatar sticker including a second gesture different from the first gesture based on the selected avatar template and the value of the at least one parameter, and display the generated avatar sticker on at least a portion of the display.

Abstract: A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for providing synthetic answers to a personal question is disclosed. A personal question is received from a person. One or more entities are extracted from the personal question. One or more relations are extracted from the personal question. A model is selected based on the personal question. One or more synthetic answers to the personal question are obtained based on the one or more entities, the one or more relations, and the selected model.

Abstract: A method of communicating information, comprising modeling a stream of sensor data, to produce parameters of a predictive statistical model; communicating information defining the predictive statistical model from a transmitter to a receiver; and after communicating the information defining the predictive statistical model to the receiver, communicating information characterizing subsequent sensor data from the transmitter to the receiver, dependent on an error of the subsequent sensor data with respect to a prediction of the subsequent sensor data by the statistical model. A corresponding method is also encompassed.

Abstract: A pixel array is provided that addresses leaking current at or near the floating diffusion region of the pixel cells. The pixel array includes an arrangement of trench isolation structures, including both front side deep trench isolation structure and front side shallow trench isolation structure that isolate the transistor channel regions from the pixel regions (e.g., photodiodes) of the pixel array. Example embodiments also include deep (N) doped wells that extend beneath the pixel transistor regions in order to “float” the P-well regions of the pixel transistor regions.

Abstract: The described technology includes a depth ray shader stored in memory and executable to receive a depth map defining a depth in association with each pixel in a three-dimensional scene and define a color gradient between a first pixel value and a second pixel value, wherein each sequential step in the color gradient between the first pixel value and the second pixel is assigned to a corresponding depth of increasing magnitude relative to a reference point. The depth ray shader is further executable to provide an instruction to a graphics engine to cause the graphics engine to apply a depth ray layer to a select portion of the three-dimensional scene, the depth ray layer altering each pixel in the selected portion to assume a pixel value defined within the color gradient to correspond to a depth of the pixel specified by the depth map.

Abstract: Methods, devices, media, and other embodiments are described for generating, modifying, and outputting pseudorandom animations that can be synchronized to audio data. In one embodiment, a computer animation model made up of comprising one or more control points is accessed by one or more processors, which associate motion patterns with a first control point of the one or more control points, and associate one or more speed harmonics with the first control point. A set of motion states is identify with a motion state for the combinations of possibilities, and a probability value is assigned to each motion state of the set of motion states. The probability value can be used to probabilistically determine a particular motion state to be part of displayed animation for the computer animation model.

Abstract: Techniques to correlate event data are disclosed. In various embodiments, an aggregation engine is used to correlate event data received from one or more source systems based on one or more correlation rules. An event group comprising at least a portion of said correlated event data is generated programmatically and is asserted as a fact in a working memory of a Rete engine configured to apply one or more Rete rules to facts in the working memory.

Abstract: Semiconductor structures including electrical isolation and methods of forming a semiconductor structure including electrical isolation. Shallow trench isolation regions extend from a top surface of a semiconductor substrate into the semiconductor substrate. The semiconductor substrate contains single-crystal semiconductor material, and the shallow trench isolation regions are positioned to surround an active device region of the semiconductor substrate. A polycrystalline layer is formed in the semiconductor substrate. The polycrystalline layer has a first section beneath the active device region and a second section beneath the plurality of shallow trench isolation regions. The first section of the polycrystalline layer is located at a different depth relative to the top surface of the semiconductor substrate than the second section of the polycrystalline layer.

Abstract: Systems and methods are provided to perform weight update operations in a resistive processing unit (RPU) system to update weight values of RPU devices comprising tunable resistive device. A weight update operation for a given RPU device includes maintaining a weight update accumulation value for the RPU device, adjusting the weight update accumulation value by one unit update value in response to a detected coincidence of stochastic bits streams of input vectors applied on an update row and update column control lines connected to the RPU device, generating a weight update control signal in response to the accumulated weight value reaching a predefined threshold value, and adjusting a conductance level of the tunable resistive device by one unit conductance value in response to the weight update control signal, wherein the one unit conductance value corresponds to one unit weight value of the RPU device.