Abstract: A computer-implemented method of differentiating between lymphoid blast cells and myeloid blast cells comprises: receiving a digital image containing one or more blast cells; applying a parametric model classifier to one or more portions of the digital image each containing a respective blast cell, the parametric model configured to generate an output indicative of whether each blast cell is a lymphoid blast cell or a myeloid blast cell. Computer-implemented methods of training a parametric model are also provided, as well as a clinical decision support system relying on the computer-implemented method of classifying blast cells.

Abstract: A wearable device for detecting heart rhythm abnormalities, comprising: at least one pulse oximeter configured to measure optically a bloodstream so as to monitor peak-to-peak (P-P) pulse timings; one ECG sensor having two or more pairs of dry electrodes and configured to measure two or more voltage signals in relation to heart rhythm activity, each voltage signal being measured across one electrode pair; and a processor unit; wherein in response to an irregularity in P-P pulse timings, the processor unit is operable to: activate the ECG sensor by polling, periodically and sequentially, each of the two or more electrode pairs; determine an electrode pair for data recording; and record voltage signal data measured through the determined electrode pair.

Abstract: There is presented a system and method for detecting mobile device fault conditions, particularly detecting defects in a display or housing of a mobile device. One or more cameras included within the mobile device are used with a reflecting surface in a test fixture to obtain properly aligned and formatted images of the external housing and display of the mobile device, and interactive guidance assists with placement and execution of diagnostics. A remote server conducts further analysis of the captured images, and then defect status may be returned to and displayed upon the mobile device screen.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: A clinical support system comprises a processor and a display component, wherein: the processor is configured to: receive image data, the image data representing an image of a plurality of cells obtained from a human or animal subject, the image data comprising a plurality of subsets of image data, each subset comprising data representing a portion of the image data corresponding to a respective cell of the plurality of cells; apply a trained deep learning neural network model to each subset of the image data, the deep learning neural network model comprising: a plurality of convolutional neural network layers each comprising a plurality of nodes; and a bottleneck layer comprising no more than ten nodes, wherein the processor is configured to apply the trained deep learning neural network model to each subset of the image data by applying the plurality of CNN layers, and subsequently applying the bottleneck layer, each node of the bottleneck layer of the machine-learning model configured to output a respectiv

Abstract: A wearable device for detecting heart rhythm abnormalities, comprising: a sensor unit comprising at least one pulse oximeter; a processor unit; a memory unit; and a power unit comprising a battery and configured to disseminate battery power amongst various components of the wearable device; wherein, the at least one pulse oximeter is configured to measure optically a bloodstream at a sampling rate and output first data; wherein, the processor unit is configured to process the first data and determine a time for the processed first data to be automatically recorded in the memory unit; wherein, the processor unit is configured to dynamically adjust the sampling rate of the at least one pulse oximeter based on a predetermined event; and wherein, the processor unit is configured to control the power unit in such a way that the sampling rate is dynamically adjusted through applying varying power levels to the sensor unit and consequently the wearable device is operable to enable a duration up to 90 days for a sing

Abstract: A computer-implemented method of generating training data to be used to train a machine learning model for generating a segmentation mask of an image containing overlapping particles. Training data is generated from sparse particle images which contain no overlaps. Generating masks for non-overlapping particles is generally not a problem if the particles can be identified clearly; in many cases simple methods such as thresholding already yield usable masks. The sparse images can then be combined to images which contain artificial overlaps. The same can be done for the masks as well which yields a large amount of training data, because of the many combinations which can be created from just a small set of images. The method is simple yet effective and can be adapted to many domains for example by adding style-transfer to the generated images or by including additional augmentation steps.

Abstract: The present invention relates to matter alloys including copper.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There are provided systems and methods for extensible device assessment and dynamic policy configuration, where a plurality of devices associated with a primary device owner can be covered in a dynamically adjustable insurance policy. In one embodiment, a primary device is tested and assessed for insurability, then additional related devices may be discovered devices through network connections established through communications interfaces with the primary device (as well as direct inputs from the device owner. Then once devices are discovered and more fully diagnosed for operational status, insurance/warranty options are assessed, and a list of devices, coverage options, and cost is provided to the device owner. As such, comprehensive insurance with known and manageable risk may be provided for a collection of devices, not all of which may be presented to an insurance agent in person.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There is presented a system and method for detecting mobile device fault conditions, particularly detecting defects in a display or housing of a mobile device. One or more cameras included within the mobile device are used with a reflecting surface in a test fixture to obtain properly aligned and formatted images of the external housing and display of the mobile device, and interactive guidance assists with placement and execution of diagnostics. A remote server conducts further analysis of the captured images, and then defect status may be returned to and displayed upon the mobile device screen.

Abstract: The present invention relates to matter alloys including copper.

Abstract: A data processing system includes a host processor, a local memory coupled to the host processor, a plurality of remote memory media, and a scalable data fabric coupled to the host processor and to the plurality of remote memory media. The scalable data fabric includes a filter for storing information indicating a location of data that is stored by the data processing system. The host processor includes a hardware sequencer coupled to the filter for selectively moving data stored by the filter to the local memory.

Abstract: A data processing system includes a host processor, a local memory coupled to the host processor, a plurality of remote memory media, and a scalable data fabric coupled to the host processor and to the plurality of remote memory media. The scalable data fabric includes a filter for storing information indicating a location of data that is stored by the data processing system. The host processor includes a hardware sequencer coupled to the filter for selectively moving data stored by the filter to the local memory.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: There is disclosed systems and methods to enhance reliability of measured position data. Measuring devices, such mobile phones equipped with location measurement elements (such as GPS, LBS, network location reporting, or tower location triangulation reporting) may collect various samples of positions where the device is believed to be located at particular moments in time; however such measurements often vary even if the device is not moving because of device inaccuracy, atmospheric conditions, obstructing buildings, and the like, making it difficult to determine whether such devices are actually stationary or are in motion over predetermined time periods. Systems and methods of the present invention provide for enhanced accuracy of position data by selectively merging varying location positions that are attributable to noise or accuracy deviations, and providing an enhanced assessment of actual device position.

Abstract: The present invention relates to metal alloys including copper.

Abstract: A processor includes a set of processing modules, each of the processing modules including a cache and a coherency manager that keeps track of the memory addresses of data stored at the caches of other processing modules. In response to its local cache requesting access to a particular memory address or other triggering event, the coherency manager generates a coherency probe. In the event that the generated coherency probe is targeted to multiple processing modules, the coherency manager includes a set of multicast bits indicating the processing modules whose caches include copies of the data targeted by the multicast probe. A transport switch that connects the processing module to the fabric communicates the coherency probe only to subset of processing modules indicated by the multicast bits.

Abstract: A processor accumulating coherency probe responses, thereby reducing the impact of coherency messages on the bandwidth of the processor's communication fabric. A probe response accumulator is connected to a processing module of the processor, the processing module having multiple processor cores and associated caches. In response to a coherency probe, the processing module generates a different coherency probe response for each of the caches. The probe response accumulator combines the different coherency probe responses into a single coherency probe response and communicates the single coherency response over the communication fabric.