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: 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: A specification for a semi-conductor chip is received. The specification specifies a set of photomasks associated with a metal layer of the semi-conductor chip. Multiple portions of an area of the metal layer are identified. A respective image is generated for each portion of the area based on the photomasks. A respective drawn density of metal wires for each portion of the area is calculated. A trained machine learning model is invoked to predict a respective silicon density of metal wires for each respective portion of the area based on an image and a drawn density for the respective portion of the area. A silicon density for the area of the metal layer is calculated based on a combination of predicted silicon densities for the multiple portions of the area. The combination is based on an average value of the predicted silicon densities for the multiple portions of the area.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for remotely generating modified digital images utilizing an interactive image editing architecture. For example, the disclosed systems receive an image editing request for remotely editing a digital image utilizing an interactive image editing architecture. In some cases, the disclosed systems maintain, via a canvas worker container, a digital stream that reflects versions of the digital image. The disclosed systems determine, from the digital stream utilizing the canvas worker container, an image differential metric indicating a difference between a first version of the digital image and a second version of the digital image associated with the image editing request. Further, the disclosed systems provide the image differential metric to a client device for rendering the second version of the digital image to reflect a modification corresponding to the user interaction.

Abstract: Some embodiments of the compositions and methods disclosed herein include gene-edited, artificial immunoregulatory T cells (airT cells) comprising a constitutively expressed FoxP3 gene product expressed at a level equal to or greater than the level of FoxP3 expression in natural T regulatory (Treg or suppressor T) cells, and a transduced (e.g., artificially engineered by gene editing, viral vector transduction, transfection or other genetic engineering methodologies) T cell receptor (TCR). In some embodiments, the TCR is preferably specific for an antigen associated with an autoimmune, allergic, or other inflammatory condition. Some embodiments include methods for the preparation and/or use of airT cells. Some such embodiments include use of airT cells for the treatment and/or amelioration of a disorder, in which antigen-specific immunosuppression may be beneficial, such as an autoimmune, allergic, or other inflammatory disorder.

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: 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: There is disclosed a semiconductor package assembly comprising: a substrate having a top substrate surface and a substrate bottom surface; a first semiconductor die, partially over the substrate and having a die bottom surface having first and second pluralities of I/O pads thereon; a first plurality of localised electrical connection components (LECCs), affixed between the die bottom surface and the substrate top surface and providing electrical connections between the substrate and the first plurality of I/O pads; a second plurality of LECCs, affixed to the substrate bottom surface, and for providing electrical connection between the substrate and a circuit board; wherein the second plurality of I/O pads are arranged for providing electrical connections to a chip-scale-package unit to be affixed to the first semiconductor die by a third plurality of LECCs, and to be positioned in a same horizonal plane as the substrate. Corresponding methods are also disclosed.

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.

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: 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 invention is a method of creating a population of hemogenic endothelial cells with arterial specification. In one embodiment, the method uses ETS transgene induction at the mesodermal stage of differentiation. In another embodiment, the method activates ERK signaling at the mesodermal stage of differentiation.

Abstract: The present disclosure relates generally to an electrode produced with a non-toxic solvent, resulting in a homogeneous mixture with uniform distributions of a conductive additive and a binder. Electrodes produced according to the present disclosure feature narrow binder particle size distribution, which distinguishes such electrodes from typical electrodes produced via a N-Methyl-Pyrrolidone (NMP) process. The resulting microstructure promotes the flow of current through the electrode and has an improved cycling stability due, in part, to the binder's and the conductive additive's ability to bind with the active material particles used in the fabrication of the electrode.

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 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 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: Methods and devices are provided for treating a food allergy in a subject in need thereof. The method entails delivering an effective amount of an allergen associated with the food allergy into the subject's cutis skin layer. Delivering the allergen is carried out by inserting one or more allergen-coated solid microneedles into the subject's skin. The one or more solid microneedles each has a base, shaft and tip, and when inserted in the subject, do not extend beyond the cutis. The allergen is allowed to dissociate from the one or more microneedles while inserted in the subject's cutis. Once the allergen disassociates, the one or more microneedles is removed from the subject's skin.

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 relates generally to an electrode produced with a non-toxic solvent, resulting in a homogeneous mixture with uniform distributions of a conductive additive and a binder. Electrodes produced according to the present disclosure feature narrow binder particle size distribution, which distinguishes such electrodes from typical electrodes produced via a N-Methyl-Pyrrolidone (NMP) process. The resulting microstructure promotes the flow of current through the electrode and has an improved cycling stability due, in part, to the binder's and the conductive additive's ability to bind with the active material particles used in the fabrication of the electrode.