Abstract: A method of operation of a compute system includes: qualifying a patient image for analyzing a suspected skin condition; detecting a skin area in the patient image; segmenting the skin area into a segmented image including the suspected skin condition; cropping the segmented image to form a cropped image including the suspected skin condition at a center of the cropped image; analyzing the suspected skin condition to identify a skin disease result and a disease subclass from the cropped image; and assembling a disease identification display including the patient image, a skin disease indication, an image match score, and the disease subclass for displaying on a device.

Abstract: A print head comprising two shafts disposed in opposite sides of a filament to drive the filament to a heated chamber for delivering a molten material. The shafts are actively driven, for example, by two independent motors. The two shaft configuration of the print head can improve a control of the filament movement rate, especially for soft filament materials.

Abstract: A method of operation of a compute system includes: detecting a skin area in a patient image; segmenting the skin area into a segmented image having an acne pimple at the center; generating a target pixel array from the segmented image includes separating a plurality of the acne pimples that are adjacent in the segmented image; identifying an acne characterization of the acne pimples including an area of each acne and an acne score; and assembling a user interface display from the acne characterization for displaying on a device.

Abstract: A method of operation of a compute system includes: generating a digital model from a input image; segmenting a 3D-polygon from the input image by applying a triangular mesh; assembling a 3D surface, based on the digital model of a zone of interest from the 3D-polygon; calculating an average threshold value of pixels within the zone of interest for identifying a condition over the 3D surface; and assembling a skin condition display from analyzing by a skin artificial intelligence (AI) of the 3D surface for displaying on a device.

Abstract: Herein discloses a method of carbonating reactive magnesia cement, which includes: (i) providing an aqueous suspension including a carbon dioxide-producing bacteria; (ii) mixing the aqueous suspension with a precursor which the carbon dioxide-producing bacteria generates carbon dioxide from for a duration to form an aqueous mixture sufficient for substantially carbonating the reactive magnesia cement; (iii) mixing the aqueous mixture with the reactive magnesia cement to form a blend; wherein a nutrient is provided in the aqueous suspension of step (i) or in the reactive magnesia cement of step (iii) to sustain the carbon dioxide-producing bacteria in the reactive magnesia cement; and (iv) curing the blend to carbonate the reactive magnesia cement. A reactive magnesia cement composite formed by the method is also disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a sequence of input tokens, where each token is selected from a vocabulary of tokens that includes text tokens and audio tokens, and wherein the sequence of input tokens includes tokens that describe a task to be performed and data for performing the task; generating a sequence of embeddings by embedding each token in the sequence of input tokens in an embedding space; and processing the sequence of embeddings using a language model neural network to generate a sequence of output tokens for the task, where each token is selected from the vocabulary.

Abstract: A processor comprising a control unit and a plurality of processing units interacting according to an operating architecture imposed dynamically by the control unit from among at least two of the following architectures: a single instruction multiple data (SIMD) stream architecture, a multiple instruction single data (MISD) stream architecture, and a multiple instruction multiple data (MIMD) stream architecture. The operating architecture is imposed dynamically by the control unit according to: configuration functions included in a machine code, and/or data to be processed and current processing instructions received as input of the processor.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a eczema segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, papulation, lichenification, and excoriation for the cropped image; and generating a full body EASI score based on the eczema segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: verifying a patient image as an acceptable image; detecting a body part from the acceptable image; generating a skin segmentation for the body part including a non-skin region and a skin region based on the acceptable image; and generating a local Hidradenitis Suppurativa (HS) severity score based on the patient image for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a lesion segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body severity score based on the lesion segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: receiving a patient image; segmenting a skin lesion in the patient image; constructing a normalized image by cropping the patient image and adding padding to position the skin lesion at the center of the normalized image; identifying, by a cancer artificial intelligence (AI) already trained, a skin cancer classification, a skin cancer sub-class, and a risk level assessment; and generating a skin cancer display including the normalized image, the skin cancer classification, the skin cancer sub-class, and the risk level assessment for displaying on a device.

Abstract: A method is disclosed to estimate the delay between an original signal and the corresponding captured signal. The signals are transformed and buffered to two sets of spectral descriptors for a similarity measure. The method advantageously offers robust delay estimation for inconsistent delays and adverse spectral distortions.

Abstract: A method of operation of a compute system comprising: detecting a skin area in a patient image; generating a normalized image by applying a rescale factor to the skin area; cropping a target pixel array from the normalized image with an acne pimple at the center of the target pixel array; generating an acne type by analyzing the target pixel array including calculating an acne severity score and calculating an area of each acne; and generating a user interface display including an acne indication and the acne severity score for displaying on a device.

Abstract: A method of operation of a compute system includes: detecting a skin area in a patient image; segmenting the skin area into a segmented image having an acne pimple at the center; generating a target pixel array from the segmented image includes separating a plurality of the acne pimples that are adjacent in the segmented image; identifying an acne characterization of the acne pimples including an area of each acne and an acne score; and assembling a user interface display from the acne characterization for displaying on a device.

Abstract: A processor comprising a control unit and a plurality of processing units interacting according to an operating architecture imposed dynamically by the control unit from among at least two of the following architectures: a single instruction multiple data (SIMD) stream architecture, a multiple instruction single data (MISD) stream architecture, and a multiple instruction multiple data (MIMD) stream architecture. The operating architecture is imposed dynamically by the control unit according to: configuration functions included in a machine code, and/or data to be processed and current processing instructions received as input of the processor.

Abstract: A planar transformer including first and second parts of a core with least one of the first and second parts having a center post that resides in an aperture of a PWB. The PWB includes primary windings and secondary windings that surround the center post, are magnetically coupled by the core, and are electrically independent. Separating an uppermost winding from the first part of the core is a first prepreg structure and separating a lowermost winding from the second part of the core is a second prepreg structure. There being no windings disposed between the first and second prepreg structures and the core. This planar transformer structure inhibits the windings from electrically shorting through the core when the planar transformer is subjected to shock or vibration. One variant includes the use of pre-form adhesives sheets located between the solder mask layers of the PWB and the core that further inhibit the windings from shorting through the core.

Abstract: A method of operation of a compute system includes: verifying a patient image as an acceptable image; detecting a body part from the acceptable image; generating a skin segmentation for the body part including a non-skin region and a skin region based on the acceptable image; and generating a local Hidradenitis Suppurativa (HS) severity score based on the patient image for displaying on a device to assist in diagnosis.

Abstract: A modular 3D printer system can include a base subsystem and multiple exchangeable components. The base subsystem can have a 3D motion module, a printhead module and a platform module. The multiple exchangeable components can include printheads having different configurations and functionalities, which can be exchangeably installed in the printhead module. The multiple exchangeable components can include platform supports having different configurations and functionalities, which can be exchangeably installed in the platform module.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a eczema segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, papulation, lichenification, and excoriation for the cropped image; and generating a full body EASI score based on the eczema segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a lesion segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body severity score based on the lesion segmentation and the intermediate scores for displaying on a device to assist in diagnosis.