Abstract: The present invention relates generally to methods and compositions useful for therapeutic vascular tissue engineering. In particular, the present invention provides methods for generating substantially pure populations of vasculogenic cells from human mesenchymal progenitor, and methods and compositions for clinical applications in the field of regenerative medicine.

Abstract: In a system on a chip (SoC), clock selection circuitry provides a selected one of a first or second clock signal as an output clock based on at least one of a first flag and a second flag. This output clock is provided as a reference clock to one or more phase locked loops (PLLs) of the SoC. The SoC includes a first clock path which receives a first oscillating signal from a first clock source external to the SoC to generate the first clock signal, and a second clock path which receives a second oscillating signal from a second clock source external to the SoC to generate the second clock signal. A first glitch monitor asserts the first flag when a glitch is detected in the first oscillating signal, and a second glitch monitor configured asserts the second flag when a glitch is detected in the second oscillating signal.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.

Abstract: The present disclosure generally relates to a system and method for the simultaneous transport of Crude Oil and Naphtha in a cross-country crude oil pipeline. The system includes the batch/zone of crude blend followed by lighter crude to clean and dissolve the asphaltene content of the crude blend. The naphtha batch/zone is sent securely in between the batch/zone of water. To carry out the cleaning of inner surface of the pipe various types of pigs have been used, the pigs have been designed to scrap the inner surface of the pipe and collect the foreign particle as well. The light crude oil is used to dissolve the asphaltene and resin components of crude blend, pigs are used to clean the surface and as well as a separating barrier in between the two layers.

Abstract: Models for classifying exposure defects in images are provided by training a binary model on a dataset of images labeled to indicate exposure within the images. When trained, the binary model classifies an image based on whether the image includes an exposure defect. A classification model is also trained. The classification model is trained on a dataset of images having exposure defects labeled to indicate exposure scores or exposure defect classifications. When trained, the classification model classifies the image based on a level of exposure. The binary model and the classification model can be stored for identifying and classifying exposure defects within images.

Abstract: Disclosed embodiments relate to a cache line eviction algorithm. In one example, a system includes a last level cache (LLC) having multiple ways, each allocated to one of multiple priorities, each having specified minimum and maximum ways to occupy, a cache control circuit (CCC) to store an incoming cache line (CL) having a requestor priority to an invalid CL, if any, otherwise, when the requestor priority is a lowest priority and has an occupancy of one or more, or when the occupancy is at a maximum, to evict a least recently used (LRU) CL of the requestor priority, otherwise, when the occupancy is between a minimum and a maximum, to evict a LRU CL of the requestor or a lower priority, otherwise, when the occupancy is less than the minimum, to evict a LRU CL, if any, of the lower priority, and otherwise, to evict a LRU CL of a higher priority.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for detecting and classifying an exposure defect in an image using neural networks trained via a limited amount of labeled training images. An image may be applied to a first neural network to determine whether the images includes an exposure defect. Detected defective image may be applied to a second neural network to determine an exposure defect classification for the image. The exposure defect classification can includes severe underexposure, medium underexposure, mild underexposure, mild overexposure, medium overexposure, severe overexposure, and/or the like. The image may be presented to a user along with the exposure defect classification.

Abstract: The present disclosure describes systems and methods for image enhancement. Embodiments of the present disclosure provide an image enhancement system with a feedback mechanism that provides quantifiable image enhancement information. An image enhancement system may include a discriminator network that determines the quality of the media object. In cases where the discriminator network determines that the media object has a low image quality score (e.g., an image quality score below a quality threshold), the image enhancement system may perform enhancement on the media object using an enhancement network (e.g., using an enhancement network that includes a generative neural network or a generative adversarial network (GAN) model). The discriminator network may then generate an enhancement score for the enhanced media object that may be provided to the user as a feedback mechanism (e.g.

Abstract: This disclosure describes one or more implementations of a video inference system that utilizes machine-learning models to efficiently and flexibly process digital videos utilizing various improved video inference architectures. For example, the video inference system provides a framework for improving digital video processing by increasing the efficiency of both central processing units (CPUs) and graphics processing units (GPUs). In one example, the video inference system utilizes a first video inference architecture to reduce the number of computing resources needed to inference digital videos by analyzing multiple digital videos utilizing sets of CPU/GPU containers along with parallel pipeline processing. In a further example, the video inference system utilizes a second video inference architecture that facilitates multiple CPUs to preprocess multiple digital videos in parallel as well as a GPU to continuously, sequentially, and efficiently inference each of the digital videos.

Abstract: The present disclosure provides a method and a flash memory device for detecting temperature in the flash memory device. The method includes receiving an Input/Output (I/O) request from a host device and determining on-cell count value for a targeted page within an active block of the flash memory device upon receiving the I/O request. The method further includes comparing the on-cell count value of the targeted page, which is within the active block of the flash memory device, with a stored on-cell count data of the flash memory device. Additionally, the method includes determining the temperature of the flash memory device corresponding to a stored on-cell count value based on the comparison. A notification signal is transmitted to the host device based on the temperature of the flash memory device and a threshold operating temperature of the flash memory device.

Abstract: The present invention relates generally to methods and compositions useful for therapeutic vascular tissue engineering. In particular, the present invention provides methods for generating substantially pure populations of vasculogenic cells from human mesenchymal progenitors, and methods and compositions for clinical applications in the field of regenerative medicine.

Abstract: A computer-implemented method for analyzing a roundabout in an environment for a vehicle is disclosed. The method includes generating at least one initial feature map by applying a feature encoder module of a trained neural network to an input image. The input image depicts the roundabout. The method includes next applying a classificator module of the trained neural network to the initial feature map. An output of the classificator module represents a road region on the input image. The method includes next applying a radius estimation module of the trained neural network to the initial feature map. An output of the radius estimation module depends on an inner radius of the roundabout and an outer radius of the roundabout. The method includes finally determining an entry point and an exit point of the roundabout depending on the output of the classificator module and depending on the output of the radius estimation module.

Abstract: This disclosure describes one or more implementations of a video inference system that utilizes machine-learning models to efficiently and flexibly process digital videos utilizing various improved video inference architectures. For example, the video inference system provides a framework for improving digital video processing by increasing the efficiency of both central processing units (CPUs) and graphics processing units (GPUs). In one example, the video inference system utilizes a first video inference architecture to reduce the number of computing resources needed to inference digital videos by analyzing multiple digital videos utilizing sets of CPU/GPU containers along with parallel pipeline processing. In a further example, the video inference system utilizes a second video inference architecture that facilitates multiple CPUs to preprocess multiple digital videos in parallel as well as a GPU to continuously, sequentially, and efficiently inference each of the digital videos.

Abstract: The present disclosure relates to a method and system for tuning a memory device for high-speed transitions. Upon failure of bus sampling tuning of a memory device with default tuning parameters, the host device is configured to transmit an auto-tuning request to the memory device for until one or more pre-defined conditions are satisfied. The memory device is configured to receive the auto-tuning request from the host device, selects a set of tuning parameters from a plurality of sets of tuning parameters, and transmits a tuning block to the host device based on the selected set of tuning parameters, until one or more pre-defined conditions are satisfied. Thereby, the memory device can utilize high-speed mode and high-speed transitions can be achieved between host and memory devices. Thus, initialization failure of the memory device can also be avoided.

Abstract: An example of an apparatus may include memory, two or more caches, and circuitry coupled to the memory and the two or more caches to selectively maintain coherency of data shared among the memory and the two or more caches based on coherency bypass information associated with the data. Other examples are disclosed and claimed.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

Abstract: The present disclosure provides reagents and methods for producing arterial hemogenic endothelium, hematopoietic progenitor, and lymphoid cell cultures. Pharmaceutical compositions comprising arterial hemogenic endothelium cells, hematopoietic progenitor cells, and lymphoid cells produced by the reagents and methods of the invention and therapeutic methods using these pharmaceutical compositions are also provided.

Abstract: Systems and methods are described for providing a graphical user interface (“GUI”) for migrating workloads in a system. The GUI can display the locations of edge devices in the system and workloads running on the edge devices. A user can drag a workload from one edge device to another in the GUI, and in response the system can schedule the workload to be migrated accordingly. Before the migration is performed, the GUI can calculate a change in computing resource usage at both edge devices. The GUI can display the usage data and prompt the user to confirm the migration. If the user confirms, the workload can be deployed at the target edge device and removed from the source edge device.

Abstract: Disclosed herein are various embodiments for a sensitive data management system. An embodiment operates by receiving an HTTP request for an interface. A plurality of tiles, including both tiles associated with sensitive data and non-sensitive data, are identified for display on the interface. An access profile associated with providing access to the sensitive data is identified, the access profile including one or more requirements, associated with the HTTP request. Request information in the HTTP request corresponding to the one or more requirements of the access profile is identified. The identified request information is compared to the one more requirements of the access profile. A determination is made whether the identified request information satisfies the one more requirements of the access profile based on the comparing. At least one of: the second tile or the first tile and the second tile are provided for display on the interface based on the determination.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for editing images using a web-based intermediary between a user interface on a client device and an image editing neural network(s) (e.g., a generative adversarial network) on a server(s). The present image editing system supports multiple users in the same software container, advanced concurrency of projection and transformation of the same image, clubbing transformation requests from several users hosted in the same software container, and smooth display updates during a progressive projection.