Abstract: Embodiments relate to extracting features from images, such as by identifying keypoints and generating keypoint descriptors of the keypoints. An apparatus includes a pyramid image generator circuit, a keypoint descriptor generator circuit, and a pyramid image buffer. The pyramid image generator circuit generates an image pyramid from an input image. The keypoint descriptor generator circuit processes the pyramid images for keypoint descriptor generation. The pyramid image buffer stores different portions of the pyramid images generated by the pyramid image generator circuit at different times and provides the stored portions of the pyramid images to the keypoint descriptor generator circuit for keypoint descriptor generation. When first portions of the pyramid images are no longer needed for the keypoint descriptor generation, the first portions are removed from the pyramid image buffer to provide space for second portions of the pyramid images that are needed for the keypoint descriptor generation.

Abstract: Embodiments are generally directed to a system and method for adapting executable object to a processing unit. An embodiment of a method to adapt an executable object from a first processing unit to a second processing unit, comprises: adapting the executable object optimized for the first processing unit of a first architecture, to the second processing unit of a second architecture, wherein the second architecture is different from the first architecture, wherein the executable object is adapted to perform on the second processing unit based on a plurality of performance metrics collected while the executable object is performed on the first processing unit and the second processing unit.

Abstract: A method for operating an electronic device having a display panel is provided. The display panel has a first region and a second region, in which the first region is out of a case, and the second region is capable of being shielded by the case. First, a first image is displayed in the first region. Then, a second image is displayed in the second region at a first time point when the second region is shielded by the case. After that, the second region out of the case is moved at a second time point, in which the first time point is not later than the second time point.

Abstract: An electronic device may include a display, a communication circuit, a processor operatively connected to the display and the communication circuit, and a memory operatively connected to the processor, wherein the memory may store instructions which, when executed, cause the processor to: receive information relating to at least one application installed in an external electronic device from the external electronic device through the communication circuit; configure, on the basis of the received information, the at least one application as a remote control application controlled by the electronic device; receive a notification message related to the remote control application from the external electronic device through the communication circuit; and display, on the display, a first object indicating reception of the notification message. Various other embodiments are also possible.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.

Abstract: A method, apparatus and system for social networking is provided. In an embodiment, the system comprises a plurality of mobile devices that can directly connect to each other via a peer-to-peer connection. The devices can additionally connect to a server. The server maintains a profile schema which can be used to generate profiles for users for each of the mobile devices. Electronic devices are paired based on a shared key maintained in an application loaded on the first electronic device and the second electronic device.

Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Abstract: On an electronic device which includes a display device comprising a display driving circuit, a processor, and a memory a method for changing a refresh rate of the display device includes: changing at least one of a first parameter, a second parameter, or a third parameter in response to identifying the occurrence of at least one of a scan rate change request or a change in scan rate change restriction, and applying the changed parameter among the first parameter, the second parameter, and the third parameter. The first parameter is the frequency of a first synchronization signal generated in the display driving circuit, the second parameter is the increase or decrease in a blank area to substitute for a portion of active video area in frame information, and the third parameter is the frequency of a second synchronization signal for rendering.

Abstract: An apparatus and method are described for managing data which is biased towards a processor or a GPU. For example, an apparatus comprises a processor comprising one or more cores, one or more cache levels, and cache coherence controllers to maintain coherent data in the one or more cache levels; a graphics processing unit (GPU) to execute graphics instructions and process graphics data, wherein the GPU and processor cores are to share a virtual address space for accessing a system memory; a GPU memory addressable through the virtual address space shared by the processor cores and GPU; and bias management circuitry to store an indication for whether the data has a processor bias or a GPU bias, wherein if the data has a GPU bias, the data is to be accessed by the GPU without necessarily accessing the processor's cache coherence controllers.

Abstract: An object of the present invention is to achieve both suppression of data amount of an image processing system that learns a collation image to be used for image identification using a discriminator and improvement of identification performance of the discriminator. In order to achieve the above object, there is proposed an image processing system including a discriminator that identifies an image using a collation image, the image processing system further including a machine learning engine that performs machine learning of collation image data required for image identification. The machine learning engine searches for a successfully identified image using an image for which identification has been failed, and adds information, obtained based on a partial image of the image for which identification has been failed and which has been selected by an input device to the successfully identified image obtained by the search to generate corrected collation image data.

Abstract: A multi-channel voltage sensing circuit for pixel compensation includes a plurality of channel circuits arranged for multiple channels; and a first dummy channel circuit and a second dummy channel circuit disposed among the plurality of channel circuits with some channel circuits interposed therebetween, wherein the first dummy channel circuit and the second dummy channel circuit receive a first reference voltage of a fixed level, and provide electrical coupling to adjacent channel circuits.

Abstract: In a digital contents receiver for receiving transmitted digital contents, the digital contents include at least component information indicating an element which constitutes a program of the contents. When the component information indicates that the received digital contents are a 3D component, it is determined whether a display part corresponds to display of the 3D component. If the display part corresponds to display of the 3D component, the received digital contents are displayed in 3D.

Abstract: The disclosure provides a display equipment, a brightness compensation device, and a brightness compensation method. The brightness compensation device includes a variable refresh rate (VRR) detection circuit and a control circuit. The VRR detection circuit and the control circuit receive a video stream from a video source device, and the video stream includes a VRR video frame. The VRR detection circuit detects a blanking period of the VRR video frame and generates a detection result. The control circuit outputs the frame data of the VRR video frame to the display device during the valid data period of the VRR video frame. The control circuit repeatedly outputs the frame data of the VRR video frame to the display device during the blanking period of the VRR video frame according to the detection result until the blanking period ends.

Abstract: A computer-implemented method, a computer system and a computer program product annotate media files with convenient pause points. The method includes acquiring a text file version of an audio narration file. The text file version includes a pause point history of a plurality of prior users. The method also includes generating a list of pause points based on the pause point history. In addition, the method includes determining a tone of voice being used by a speaker at each pause point using natural language processing algorithms. The method further includes determining a set of convenient pause points based on the list of pause points and the determined tone of voice. Lastly, the method includes inserting the determined set of convenient pause points into the audio narration file.

Abstract: Techniques are described for expanding and/or improving the Advanced Television Systems Committee (ATSC) 3.0 television protocol in robustly delivering the next generation broadcast television services. Multiple memory buffers are used to manage broadcast packet repair and presentation or storage.

Abstract: Systems, methods, and apparatuses disclose an electronic greeting card application for creating, editing, distributing, and viewing electronic greeting cards on a portable computing device, wherein the electronic greeting card displays animations and permits users to customize the card by way of adding a message, signature, photo, and sound recording.

Abstract: A processing system includes a graphics pipeline that executes a first shader of a first type and a second shader of a second type. In some cases, the first shader is a geometry shader and the second shader is a pixel shader. The processing system also includes buffers that hold primitives generated by the first shader and provide the primitives to the second shader. The processing system also includes a primitive hub that monitors fullness of the buffers. Launching of waves from the first shader is throttled based on the fullness of the buffers. A shader processor input (SPI) selectively throttles the waves launched by the geometry shader based on a signal from the primitive hub indicating the fullness, an indication of relative resource usage of geometry waves and pixel waves in the graphics pipeline, or an indication of lifetimes of the geometry waves.

Abstract: Example methods, apparatuses and systems are disclosed for providing a device for capturing a barcode image within an augmented reality environment. An example method includes detecting a target object within a field of view of an augmented reality viewing device. The method further includes rendering an image of a scanning device within the field of view of the augmented reality viewing device, and rendering a scanning area within the field of view of the augmented reality viewing device. Further, a camera associated with the augmented reality viewing device captures an image of a barcode located on the target object. Corresponding apparatuses, systems, and computer program products are also provided.

Abstract: An apparatus for, by inputting data to a hierarchical neural network and performing operation processing in each layer of the network, calculating a feature plane in the layer, comprises an operation unit, a feature plane holding unit including at least one memory that holds a feature plane to be processed, a unit configured to control to arrange the feature plane in the memory based on network information as information about each layer undergoing the operation processing and to manage reading/writing from/in the memory, and a processor configured to access, via a bus, the feature plane holding unit which is address-mapped in a memory space. The processor calculates, based on the network information, an address address-mapped in the memory space, reads out the feature plane, and processes the feature plane.

Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.

Abstract: In various examples, a signal processing pipeline is dynamically generated or instantiated for a signal processing request. To generate the pipeline, a graph topology—including nodes and edges—may be created to represent features, functionality, and characteristics of a signal processing system. The nodes, representing processing tasks, may be connected via edges having associated costs for performing, by a node, a processing task on an output of a prior or edge-connected node. For a given signal processing request, the nodes or processing tasks to be included may be selected and, using a graph routing algorithm and the costs between and among the determined nodes, a path through the nodes may be determined—thereby defining, at least in part, the signal processing pipeline.

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

Abstract: One embodiment provides for a graphics processing unit to perform computations associated with a neural network, the graphics processing unit comprising a hardware processing unit having a dynamic precision fixed-point unit that is configurable to quantize elements of a floating-point tensor to convert the floating-point tensor into a dynamic fixed-point tensor.

Abstract: A multi-screen display control device is shown, which is linked to a host through a universal serial bus (USB) port to receive image data from the host, and uses a plurality of high-definition multimedia interface (HDMI) ports to output a plurality of HDMI sub-images to a plurality of screens. The multi-screen display control device has a USB hub that couples the USB port to a plurality of graphics processing units (GPUs), so that the GPUs generate the HDMI sub-images based on the image data transferred from the host via USB communication technology.

Abstract: A first workload is executed in a first subset of pipelines of a processing unit. A second workload is executed in a second subset of the pipelines of the processing unit. The second workload is dependent upon the first workload. The first and second workloads are suspended and state information for the first and second workloads is stored in a first memory in response to suspending the first and second workloads. In some cases, a third workload executes in a third subset of the pipelines of the processing unit concurrently with executing the first and second workloads. In some cases, a fourth workload is executed in the first and second pipelines after suspending the first and second workloads. The first and second pipelines are resumed on the basis of the stored state information in response to completion or suspension of the fourth workload.

Abstract: An image display apparatus includes: a housing; a display for displaying an image; a driving unit configured to change a size of a display area exposed to the outside of the housing among an entire area of the display; and a controller, wherein the controller determines whether an image displayed through at least a portion of the display area is a static image, when the size of the display area is smaller than the size of the entire area, determines whether the image is displayed for a certain time or longer, when the image is the static image, controls the driving unit to change the size of the display area, when the image is displayed for the certain time or longer, and controls the display so that the image is displayed in response to a degree of change in the size of the display area.

Abstract: The disclosure discloses a method for preprocessing an image and a related electronic device. A current data frame captured through a camera is obtained by a pre-created drawing surface window called by a central processing unit (CPU) in response to a preview activating instruction of the camera. The current data frame is converted into a preview texture corresponding to the current data frame by the pre-created drawing surface window. The preview texture corresponding to the current data frame is sent to a graphics processing unit (GPU). The preview texture corresponding to the current data frame is processed by the GPU. The preview texture processed is sent by the CPU to an advanced driving assistance system (ADAS).

Abstract: A display system supports variable refresh rates that include a plurality of refresh rates. A source such as a graphics processing unit (GPU) provides frames to the display system at a selected one of the refresh rates. The refresh rates are factored into a corresponding plurality of prime factors. A plurality of numbers of lines per frame in frames provided at the plurality of refresh rates is determined based on one or more ratios of the plurality of refresh rates, the plurality of prime factors, and a line rate for providing frames to the display system at the plurality of refresh rates. The source then selectively provides frames to the display system at one refresh rate of the plurality of refresh rates using the same line rate regardless of which refresh rate is chosen. Furthermore, the number of lines per frame is an integer for frames provided at the refresh rates.

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

Abstract: A method of initialising rendering at a graphics processing unit configured to perform safety-critical rendering, the method comprising: causing an instruction for initialising rendering of safety critical graphical data at the graphics processing unit to be provided to the graphics processing unit, said instruction comprising a request for response from the graphics processing unit; initialising a timer, said timer being configured to expire after a time period; and monitoring, during said time period, for a response from the graphics processing unit; determining, by a safety controller external to the graphics processing unit, that an initialisation error has occurred if no response is received from the graphics processing unit before the timer expires.

Abstract: A method of initialising rendering at a graphics processing unit configured to perform safety-critical rendering within a graphics processing system, the method comprising: generating configuration data for initialising rendering of safety critical graphical data at the graphics processing unit; receiving the configuration data for initialising rendering at the graphics processing unit; configuring the graphics processing unit in accordance with the configuration data for initialising rendering; determining whether the graphics processing unit is correctly configured in accordance with the configuration data; and determining, by a safety controller external to the graphics processing unit, that an initialisation error has occurred in response to determining that the graphics processing unit is not correctly configured in accordance with the configuration data.

Abstract: In one aspect, a headset may include a housing, at least one processor in the housing, a transparent display accessible to the processor and coupled to the housing, and at least first and second vibrators accessible to the processor and coupled to the housing. The first and second vibrators may be located at different positions with respect to the housing. The headset may also include storage accessible to the processor and coupled to the housing. The storage may include instructions executable by the processor to track a person as the person moves through an environment. The instructions may also be executable to, based on tracking the person, actuate one of the first and second vibrators to indicate a direction in which the person is to travel and/or to alert the person of an object that is within a threshold distance to the person.

Abstract: Disclosed are various embodiments for performing a join operation using a graphics processing unit (GPU). The GPU can receive input data including sequences or tuples. The GPU can initialize a histogram in a memory location shared by threads. The GPU can build the histogram of hash values for the sequences. The GPU can reorder the sequences based on the histogram. The GPU can probe partitions and store the results in a buffer pool. The GPU can output the results of the join.

Abstract: A graphics processor is described that includes a single instruction, multiple thread (SIMT) architecture including hardware multithreading. The multiprocessor can execute parallel threads of instructions associated with a command stream, where the multiprocessor includes a set of functional units to execute at least one of the parallel threads of the instructions. The set of functional units can include a mixed precision tensor processor to perform tensor computations. The functional units can also include circuitry to analyze statistics for output values of the tensor computations, determine a target format to convert the output values, the target format determined based on the statistics for the output values and a precision associated with a second layer of the neural network, and convert the output values to the target format.

Abstract: The present disclosure relates to an accelerator for systolic array-friendly data placement. The accelerator may include: a systolic array comprising a plurality of operation units, wherein the systolic array is configured to receive staged input data and perform operations using the staged input to generate staged output data, the staged output data comprising a number of segments; a controller configured to execute one or more instructions to generate a pattern generation signal; a data mask generator; and a memory configured to store the staged output data using the generated masks. The data mask generator may include circuitry configured to: receive the pattern generation signal from the controller, and, based on the received signal, generate a mask corresponding to each segment of the staged output data.

Abstract: One embodiment provides for a machine-learning accelerator device a multiprocessor to execute parallel threads of an instruction stream, the multiprocessor including a compute unit, the compute unit including a set of functional units, each functional unit to execute at least one of the parallel threads of the instruction stream. The compute unit includes compute logic configured to execute a single instruction to scale an input tensor associated with a layer of a neural network according to a scale factor, the input tensor stored in a floating-point data type, the compute logic to scale the input tensor to enable a data distribution of data of the input tensor to be represented by a 16-bit floating point data type.

Abstract: In general, the disclosure describes techniques for creating runtime-throttleable neural networks (TNNs) that can adaptively balance performance and resource use in response to a control signal. For example, runtime-TNNs may be trained to be throttled via a gating scheme in which a set of disjoint components of the neural network can be individually “turned off” at runtime without significantly affecting the accuracy of NN inferences. A separate gating neural network may be trained to determine which trained components of the NN to turn off to obtain operable performance for a given level of resource use of computational, power, or other resources by the neural network. This level can then be specified by the control signal at runtime to adapt the NN to operate at the specified level and in this way balance performance and resource use for different operating conditions.

Abstract: A method and a server device for providing an IoT platform service are provided. According to at least one aspect of the present disclosure, a method of providing an IoT platform service, which is performed by an IoT platform server apparatus, generates a shadow device corresponding to an IoT device, manages state information of the IoT device through the corresponding shadow device, and registers and administers a specification (i.e., a device descriptor) regarding common features of a plurality of devices.

Abstract: Computer processing unit intra-frame clock and voltage scaling based on graphics application awareness is disclosed. The computer processing unit includes a processor configured to execute a graphics application to generate a graphics image for output to a display. The computer processing unit includes a power management circuit configured to perform clock and voltage scaling (CVS) (i.e., frequency and/or voltage scaling) for the processor. The power management circuit is configured to identify a graphics application dispatched to be executed or being executed by the processor and to set the operating point for the processor based on the identified graphics application. This may allow the processor to operate at a more optimal operating point for performance of graphics and non-graphics applications as opposed to operating each application at a lower operating point due to a graphics application that is more current intensive.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media provide for the intelligent configuration of personal endpoint devices for video communication. The system identifies, within a room, a personal endpoint device to be used in a video communication session, then authenticates the personal endpoint device. The system then performs one or more diagnostic operations to receive diagnostic output from the personal endpoint device. The system processes the diagnostic output to determine a unique broadcasting signature of the room, and determines whether an existing optimal settings configuration of the personal endpoint device can be detected for the room. If an optimal settings configuration is detected, the setup dynamically configures one or more parameters of the personal endpoint device to match the optimal settings configuration. If not, then the system determines a new optimal settings configuration and stores it for future video communication in the room.

Abstract: An electronic device and method are disclosed herein. The electronic device includes a display, a wireless communication circuit, and electrical connector and a processor. The processor implements the method, including: detecting whether the electronic device is communicatively connected to an external display device through a wireless communication circuit or an electrical connector, when the electronic device is communicatively disconnected from the external display device, displaying, on the display, a first user interface for configuring a first screen timeout time associated with the display, when the electronic device is communicatively connected to the external display device, displaying a first screen on the display, and displaying a second screen on the external display device, the second screen different from the first screen, and displaying, on the external display device, a second user interface for configuring a second screen timeout time related to the external display device.

Abstract: Methods, systems and apparatuses may provide for technology that identifies a seam area between a pair of images corresponding to a first eye and determines a disparity between the seam area and a reference area at a center line of a reference image corresponding to a second eye. The technology may also automatically adjust one or more pre-stitch parameters of camera sensors associated with the pair of images and the reference image based on the disparity.

Abstract: Efficient 5G transmission of volumetric data using 3D character rigging techniques is able to be achieved by capturing volumetric data using RGB, depth or other special purpose cameras or sensors, reconstructing in 3D and then performing character rigging. The ability to render future or novel frames using rigging is able to be used in order to predict future and past models. By sending the rigging vectors and the compressed errors of difference between actual and predicted models, higher compression rates of volumetric sequences are able to be achieved compared to traditional methods. The decoder on the other side of the 5G channel reverses the process to synthesize original frames.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating, by an image sensor of a computing device, frame data comprising sub-frames of image pixel data. A first resource of the system-on-chip provides the frame data to a second resource of the system-on-chip. The frame data is provided to the second resource using a first data path included in the system-on-chip. The first resource provides a token to the second resource using a second data path included in the system-on-chip. A processor of the system-on-chip, uses the token to synchronize production of sub-frames of image pixel data provided by the first resource to the second resource and to synchronize consumption of the sub-frames of image pixel data received by the second resource from the elastic memory buffer.

Abstract: Implementations include receiving, by a migration delta analyzer of a software system, an object list including objects accessed by the on-premise application, determining, by the migration delta analyzer, at least one migration option for each object in the object list using a mapping table, receiving, through a user interface, input from a user representing a selection of migration option for each object in the object list, and providing a cloud application based on the selected migration option for each object in the object list.

Abstract: Systems and methods are configured to adjust the timing of source frame compression in response to fluctuations in a variable frame rate at which source frames are rendered.

Abstract: An embodiment of an electronic processing system may include an application processor, system memory communicatively coupled to the application processor, a graphics processor communicatively coupled to the application processor, graphics memory communicatively coupled to the graphics processor, and persistent storage media communicatively coupled to the application processor and the graphics processor to store one or more graphics assets, wherein the graphics processor is to access the one or more graphics asset mapped from the persistent storage media. The persistent storage media may include a low latency, high capacity, and byte-addressable nonvolatile memory. The one or more graphics assets may include one or more of a mega-texture and terrain data. Other embodiments are disclosed and claimed.

Abstract: An integrated circuit (IC) includes a substrate including circuitry configured for a function, the circuitry including at least one stress sensitive circuit portion, with at least a portion of nodes in the circuitry electrically coupled to bond pads provided by a top metal layer. A metal wall that is ring-shaped is positioned above the top metal layer that is not electrically coupled to the circuitry. The stress sensitive circuit portion is with at least a majority of its area within an inner area of the substrate that is framed by the metal wall to provide a cavity.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.

Abstract: In one embodiment, a system for correcting parallax error is provided. An image is received from a camera and a plurality of points is received from a LiDAR sensor. The points are placed on the image based on coordinates associated with each point. The image is divided into a plurality of cells by placing a grid over the image. For each cell, a minimum distance between the points in the cell and the camera is determined. For each cell, a margin is calculated based on the determined minimum distance. For each cell, points that have a distance from the camera that is greater than the minimum distance plus the margin are removed or deleted. The image and/or the remaining points are then used to provide one or more vehicle functions.