Abstract: One or more embodiments disclose techniques for generating a layout for a physical space or a building. The techniques include generating a layout based on a floorplan of a physical space, generating a plurality of spatial unit grids corresponding to a plurality of spatial units to be placed in the physical space, identifying a placement for a first spatial unit grid in the plurality of spatial unit grids within the layout by matching a corner cell in the first spatial unit grid with a given available cell in the layout, generating a score associated with the placement for the first spatial unit grid based on one or more placement parameters that define placement constraints for a first spatial unit included in the plurality of spatial units and corresponding to the first spatial unit grid, and placing the first spatial unit grid in the layout based on the score.

Abstract: Provided is a malware detection system that provides structure-aware neural networks for performing malware detection. In particular, rather than treat the entire computer file as one large input to a deep neural network, the malware detection system can break the file up based on the internal file structure. Each portion of the computer file can then be processed using individual neural networks and the outputs of these networks can be combined and similarly processed. In this way the overall system can evaluate the file with knowledge of the structure of the file, enabling the malware detection to have a higher-order understanding of the interoperation of different portions of the computer file.

Abstract: A high energy laser (HEL) weapon system for counter-UAS (C-UAS) use comprises a fully self-contained laser system including a power supply, thermal management, high-capacity batteries, and integrated radar and electronic warfare subsystems.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for training machine learning models. One method includes obtaining a machine learning model, wherein the machine learning model comprises one or more model parameters, and the machine learning model is trained using gradient descent techniques to optimize an objective function; determining an update rule for the model parameters using a recurrent neural network (RNN); and applying a determined update rule for a final time step in a sequence of multiple time steps to the model parameters.

Abstract: A protective device for a user to wear comprises a carrier spaced apart from a shell. The carrier includes a pocket. A first shock absorber includes a bladder and a reservoir, each containing a liquid. The bladder and the reservoir are fluidly interconnected. One of the bladder and the reservoir is positioned between the shell and the carrier. The other one of the bladder and the reservoir is positioned within the pocket. In response to an external load, the shell is movable relative to the carrier and the liquid flows between the bladder and the reservoir.

Abstract: A voxel-based design approach enables the creating and modifying of a design model comprising a 3D grid of discrete voxels that is represented by a voxel data structure. The voxel data structure comprises voxel-level entries, each entry corresponding to a voxel based on the 3D location within the 3D grid. The voxel data structure includes a design-level entry for storing design-level performance metrics. The system updates the voxel data structure to reflect user modifications to the design model and renders a visualization of the updated design model. The system displays a per-voxel heat map for the design model for a selected performance metric based on the voxel data structure. The design system displays multiple optimized design solutions based on corresponding optimized voxel data structures. The system generates the multiple optimized design solutions based on a voxel-based optimization technique. The system also performs a voxel-based recommendation visualization technique.

Abstract: The invention provides for delivery, engineering and optimization of systems, methods, and compositions for manipulation of sequences and/or activities of target sequences. Provided are delivery systems and tissues or organ which are targeted as sites for delivery. Also provided are vectors and vector systems some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity and to edit or modify a target site in a genomic locus of interest to alter or improve the status of a disease or a condition.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using antisymmetric neural networks.

Abstract: Methods are provided for delivering a treatment therapy to treat an organ diagnosed with a disease state. The methods include delivering a first therapeutic agent into systemic circulation at a first flow rate, and delivering a second therapeutic agent directly into a vessel feeding the organ at a higher second flow rate than the first flow rate in a manner that prevents the second treatment agent from circulating systemically.

Abstract: Polypeptides are provided that include an amino acid sequence at least 50% identical, not including any amino acid insertions at identified insertion sites, to the amino acid sequence selected from the group consisting of SEQ ID NO: 1-52, wherein the polypeptide is a sequence-specific DNA-binding polypeptide, fusion proteins comprising such polypeptides, nucleic acids encoding such polypeptides and fusion proteins, and expression vectors and host cells comprising such nucleic acids.

Abstract: The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered DNA or RNA-targeting systems comprising a novel DNA or RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.

Abstract: Known jaw movement tracking systems generally allow for a limited tracking of the jaw movement. e.g. they are only able to track the jaw movement in two dimensions or track muscle activations without specifying direction of movements, and are thus unable to fully track the complex jaw movements. The reduced tracking ability of known devices reduces the ability to discriminate between different jaw movements based on the tracked movement. A need exists for a jaw movement tracking system that allows jaw movement tracking for discriminating between different jaw movements. The invention relates to a jaw movement tracking system. invention further relates to a method for use of the jaw movement tracking system.

Abstract: A display element (1) intended to be fitted to a timepiece, including a body (2) provided with a portion (4) including an assembly area (5) configured to receive an insert (3) by embedding, the embeddable insert (3) being provided with a shaft hole (13) configured to adjust the display element (1) on a drive shaft, the body (2) including a portion (4) made of a material having the property of softening, in which the insert (3) is embedded by melting, the insert (3) including a peripheral wall (6) provided with a patterned outer surface (7a) for connection with the portion (4) of the body (2) of the display element (1), the outer surface (7a) being configured to ensure mechanical anchoring of the insert (3) in the portion (4), the peripheral wall (6) projecting, on either side respectively, from opposite faces of the portion (4) of the body (2).

Abstract: A system (1) for attaching a display element (2) to a drive shaft (3) fitted to an analogue display mechanism of a measuring apparatus, the system (1) including a portion (6) for mounting the display element (2) made of a material that has the property of softening and an embeddable end piece (4a) of said drive shaft (3) configured to be incorporated into said portion (4a) by melting, said end piece (4a) including part of a peripheral wall (13) of the drive shaft (3) provided with a patterned outer bonding surface configured to mechanically anchor said end piece (4a) in said portion (6).

Abstract: The invention relates to a bruxism detection and feedback system comprising an in-ear device having an in-ear portion and a feedback device. The in-ear device comprises a heart rate sensor and/or a breathing rate sensor and a bruxism sensor. The bruxism detection and feedback device further comprises a processor connected to the heart rate sensor and/or the breathing rate sensor, the bruxism sensor and the feedback device. In embodiments the bruxism sensor is an acoustic sensor for measuring an acoustic signal in the ear canal of a wearer. The invention further relates to a method for use of the bruxism detection and feedback system.

Abstract: In various embodiments, a generative design application generates and evaluates automotive designs. In operation, the generative design application computes a first set of metric values based on a set of metrics associated with design goal(s) and a first set of parameter values for a parameterized automobile model. The generative design application then performs optimization operation(s) on the first set of parameter values based on the first set of metric values to generate a second set of parameter values. Subsequently, the generative design application generates at least one design based on the second set of parameter values that is more convergent with respect to at least one of the design goals than a previously generated design. Advantageously, less time and effort are required to generate and evaluate multiple designs and then optimize those designs relative to more manual prior art approaches.

Abstract: A urinary catheter package with a case having a hollow tube which is closed at one end and open at the other end, the hollow tube having a wall and a pierceable cover attached to the open end of the hollow tube. Also an assembly including the urinary catheter package and a catheter with a funnel at a first end.

Abstract: A computer-implemented method for obtaining actionable application feedback includes executing an application on remote computing systems and, during execution of the application on each computing system: surfacing a UI including a survey UI element on the display of the computing system; surfacing a first survey prompt via the survey UI element; receiving user input including a response to the first survey prompt, inputting the user input to an LLM; generating, via the LLM, a second survey prompt based on the provided user input; surfacing the second survey prompt via the survey UI element; receiving user input including a verbatim response to the second survey prompt; and generating, via the LLM, topic tag(s) corresponding to the verbatim response. The method includes aggregating the verbatim responses received via the computing systems according to the corresponding topic tag(s), as well as generating, via the LLM, application insights based on the aggregated verbatim responses.

Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria and design objectives associated with the urban design project and then generates numerous candidate designs that meet the design criteria and optimize the design objectives to varying degrees. The evaluation engine evaluates each candidate design to generate a set of metrics. The geometry engine modifies the candidate designs based on corresponding metrics to generate candidate designs that better meet the design criteria and more effectively achieve the design objectives.