Abstract: Embodiments of the present disclosure provides systems and methods for automatically recommending layout information for templates and template elements during template design/editing. A computer-implemented method includes receiving, based on a user interaction with the graphical user interface, a request to add a template element to a template, determining a recommended layout for the template element based on a document event dataset and a layout information dataset, presenting the recommended layout for the template element in the graphical user interface as a first recommendation; adding the template element to the template formatted according to the recommended layout for the template element and storing the new template in a database of templates used to electronically generate documents. The document event dataset comprises data for user action events on electronic documents generated from template and the layout information dataset comprises layout information from the template.

Abstract: Techniques for providing dynamic sensitivity labels for digital files are described. One example method includes identifying a digital file to which a sensitivity label is to be assigned; identifying context information associated with the digital file; and assigning a sensitivity label to the digital file based on content included in the digital file and the context information associated with the digital file.

Abstract: This disclosure addresses the unresolved problems of tackling object disambiguation task for an embodied agent. The embodiments of present disclosure provide a method and system for disambiguation of referred objects for embodied agents. With a phrase-to-graph network disclosed in the system of the present disclosure, any natural language object description indicating the object disambiguation task can be converted into a semantic graph representation. This not only provides a formal representation of the referred object and object instances but also helps to find an ambiguity in disambiguating the referred object using a real-time multi-view aggregation algorithm. The real-time multi-view aggregation algorithm processes multiple observations from an environment and finds the unique instances of the referred object.

Abstract: An approach for optimizing error-checking logic in a processor design is disclosed. The approach includes performing a static analysis on the processor design, wherein the processor design includes one or more latches and one or more checkers and generating a bipartite graph mapping between the one or more latches and the one or more checkers. The approach also determines checker set cover based on the mapping and preselecting timing critical checkers. The approach also determines redundant checkers based on checker activity and eliminate redundant checkers. Finally, the approach determines whether convergence criteria has been met.

Abstract: An electroforming system and method includes disposing a cathode defining a mandrel within an electrolytic solution, and applying a voltage to the cathode in the electrolytic solution to form a coating on the cathode. The coating can be formed as an amorphous coating, having no discernible grain boundaries or no discernible long-range order.

Abstract: A memory includes a read circuit having a first primitive configured to output a first data item based on least significant bits (LSBs) of a read address and a multiplexer coupled to the primitive. The multiplexer outputs a selected bit from the first data item as read data based on most significant bits (MSBs) of the read address. The memory includes a write circuit having a second primitive that outputs a second data item based on LSBs of a write address and a modifier circuit that generates a third data item by modifying a bit of the second data item to correspond to write data. The bit is at a location within the second data item selected based on MSBs of the write address. The modifier circuit writes the third data item to a location in the write primitive based on the LSBs of the write address.

Abstract: A trim retention assembly (280) for a recessed luminaire (100) comprising a —retention device anchor (328) and a retention device retaining feature (329) both disposed in the recessed luminaire (100), —retention device coupling feature (755) disposed on a trim (749), and —retention device (330) having a —luminaire anchor (335), —resilient feature (334), —luminaire retention feature (333), and —trim coupling feature (331), where the i) luminaire anchor is coupled to the retention device anchor, ii) trim coupling feature is coupled to the retention device coupling feature, iii) resilient feature has a loaded position and an unloaded position, iv) retention device retaining feature holds the resilient feature in the loaded position, v) trim coupling feature is disposed below a structure (159) when the resilient feature is in the loaded position, and vi) resilient feature pulls the trim against the structure when resilient feature is in the unloaded position.

Abstract: Described herein are non-flammable dicationic ionic liquid electrolytes and the synthesis thereof. The electrolytes exhibit extremely high ionic-conductivities >0.01 S·cm?1. Also described are the use of non-flammable dicationic ionic liquid electrolytes in various energy storage devices such as lithium-ion batteries, rechargeable batteries, fuel cells, super capacitors, or solar cells.

Abstract: A trim attachment system includes a light fixture housing and a first coiled spring bracket having a first coil section and a first elongated section. The first elongated section is positioned in the light fixture housing and attached to the light fixture housing, where the first coil section is attachable to a trim to pull up the trim toward an opening of the housing. The trim attachment system further includes a second coiled spring bracket having a second coil section and a second elongated section. The second elongated section is positioned in the light fixture housing and attached to the light fixture housing, where the second coil section is attachable to the trim to pull up the trim toward the opening of the housing.

Abstract: Provided herein are compounds that modulate the activity of melanoma inhibitor of apoptosis (ML-IAP) protein, compositions comprising the compounds, and methods of using the compounds and compositions comprising the compounds.

Abstract: Methods and systems for a fiber optic assembly to propagate light into a waveguide associated with a photonic integrated circuit are provided. The system may include a fiber optic, and a fiber optic core for directing light into the fiber optic assembly. The fiber optic assembly may include at least one transparent layer, metal layer, electrode layer, or a liquid crystal layer. The fiber optic may be aligned in a photonic integrated circuit, where an active feedback loop may be configured to control regions of the fiber optic assembly individually based on the potential difference at both sides of the liquid crystal layer, via electrode layers. The molecules of the liquid crystal layer may be configured to move, change, or be reoriented to direct light into the waveguide based on the potential difference.

Abstract: An organization-specific cybersecurity dialogue system (“system”) intelligently generates responses to user utterances for cybersecurity by employing documentation and playbook agents for an associated cybersecurity organization. The system extracts an intent and an intent category from a user utterance, extracts relevant entities from the intent and uses them to determine relevant user telemetry data, and matches the intent, intent category, and user telemetry data to documents of the cybersecurity organization. The system then determines whether to generate a response based on matching document, matching playbook agents, or to prompt a user to create a ticket according to logic applied to the intent, intent category, user telemetry data, and matching documents and generates a corresponding response with large language models.

Abstract: Embodiments for providing enhanced location-aware protection of latches in a computing environment are provided. One or more latches are combined in one or more of a plurality of bounding boxes on a two-dimensional circuit design layout based on one or more rules. A location-aware interleaving of error correction codes (“ECC”) and burst error correction codes may be selectively applied to one or more latches in those of the plurality of bounding boxes, where multiple bit errors are corrected.

Abstract: A gypsum stud is provided, including a gypsum wallboard panel having first and second facing sheets sandwiching a core therebetween, a series of cuts formed on at least one of the first and second facing sheets and extending into the core, retaining intact an opposing one of said first and second facing sheets to form a hinge point, the panel being rolled from a first side to a second side into a rolled condition so that a rolled up stud is formed.

Abstract: The present disclosure relates generally to methods of treating various diseases, disorders, and conditions, such as depressive disorders (e.g., Major Depressive Disorder (MDD)), substance use disorders, anxiety disorders, eating disorders, pain, and headache disorders via administration of deuterated psilocin and pharmaceutically acceptable salts, polymorphs, or solvates thereof.

Abstract: Aspects of the disclosure relate to using machine learning models to automatically deploy computing workloads. A computing system may retrieve resource data. The resource data may comprise deployment costs of computing workloads that are currently deployed, indications of computing workloads that are preauthorized for automatic deployment, and indications of computing workloads that are not preauthorized for automatic deployment. Cloud service provider data indicating cloud service provider costs may be retrieved, via an application programming interface (API) connector. Based on inputting the resource data and the cloud service provider data into machine learning models, cloud deployment data may be generated. The cloud deployment data may comprise predicted deployment costs of the cloud service providers. The computing workloads that are preauthorized for automatic deployment may be deployed.

Abstract: Implementations disclose utilizing a less computationally efficient decoding method in automatically generating corresponding single generative content predictions for training instances and fine-tuning a student generative model based on those automatically generated training instances. Those implementations are further directed to then utilizing, in an inference time environment, the fine-tuned student generative model and a more computationally efficient decoding method in generating generative predictions—and without any utilization of the less computationally efficient decoding method in generating the generative predictions.

Abstract: A system for updating a training dataset of an item identification model determines that an item is not included in a training dataset. In response to determining that the item is not included in the training dataset, the system obtains an identifier of the item. The system detects a triggering event at a platform, where the triggering event corresponds to a user placing the item on a platform. The system captures images of the item. The system extracts a set of features associated with the item from the images. The system associates the item to the identifier and the set of features. The system adds a new entry to the training dataset, where the new entry represents the item labeled with the identifier and the set of features.

Abstract: A brake pedal feedback system includes a spring driver, a first spring, a first brake pedal, and a second brake pedal. The spring driver includes a first recess and a second recess. The first brake pedal includes a first extension at least partially positioned in the first recess. The second first brake pedal includes a second extension at least partially positioned in the second recess. When the first brake pedal is in an engaged position and the second brake pedal is in a disengaged position, the first extension contacts a first surface of the first recess causing the spring driver to move the first spring from a relaxed condition to an energy storing condition, and the second extension is spaced apart from a first surface of the second recess.

Abstract: Aspects of the invention include techniques for improving the accuracy of access-limited neural network inference in low-voltage regimes. A non-limiting example method includes training a first machine learning model to perform input transformation for reducing low-voltage bit errors for a deep neural network operating in a low-voltage regime. The training includes inputting training data into the first machine learning model such that, in response, the first machine learning model produces transformed training data; inputting the transformed training data into a clean machine learning model and into perturbed machine learning models, the perturbed machine learning models being generated by applying random bit errors to the clean machine learning model; and optimizing the first machine learning model based on a comparison of output of the clean machine learning model and of the perturbed machine learning models compared to groundtruth labels for the training data.