Abstract: Heat sink and heat sink arrangements are provided for an electronic device immersed in a liquid coolant. A heat sink may comprise: a base for mounting on top of a heat-transmitting surface of the electronic device and transferring heat from the heat-transmitting surface; and a retaining wall extending from the base and defining a volume. A heat sink may have a wall arrangement to define a volume, in which the electronic device is mounted. A heat sink may be for an electronic device to be mounted on a surface in a container, in an orientation that is substantially perpendicular to a floor of the container. Heat is transferred from the electronic device to liquid coolant held in the heat sink volume. A cooling module comprising a heat sink is also provided. A nozzle arrangement may direct liquid coolant to a base of the heat sink.

Abstract: A method including capturing a deformed gesture performed by a communicator, wherein the deformed gesture corresponds to a defined gesture that is intended by the communicator. The method including providing the deformed gesture that is captured to an artificial intelligence (AI) model configured to classify a predicted gesture corresponding to deformed gesture. The method including performing an action based on the predicted gesture. The method including capturing at least one multimodal cue to verify the predicted gesture. The method including determining that the predicted gesture is incorrect based on the at least one multimodal cue. The method including providing feedback to the AI model indicating that the predicted gesture is incorrect for training and updating the AI model. The method including classifying an updated predicted gesture corresponding to the deformed gesture using the AI model that is updated.

Abstract: Provided herein are engineered transcription factors for selective upregulation of SCN1a and uses thereof for treating diseases and disorders, such as, Dravet syndrome. Also provided are microRNA binding sites and uses thereof for selective expression in parvalbumin neurons.

Abstract: Heat sink and heat sink arrangements are provided for an electronic device immersed in a liquid coolant. A heat sink may comprise: a base for mounting on top of a heat-transmitting surface of the electronic device and transferring heat from the heat-transmitting surface; and a retaining wall extending from the base and defining a volume. A heat sink may have a wall arrangement to define a volume, in which the electronic device is mounted. A heat sink may be for an electronic device to be mounted on a surface in a container, in an orientation that is substantially perpendicular to a floor of the container. Heat is transferred from the electronic device to liquid coolant held in the heat sink volume. A cooling module comprising a heat sink is also provided. A nozzle arrangement may direct liquid coolant to a base of the heat sink.

Abstract: Provided herein are engineered transcription factors for selective upregulation of SCN1a and uses thereof for treating diseases and disorders, such as, Dravet syndrome. Also provided are microRNA binding sites and uses thereof for selective expression in parvalbumin neurons.

Abstract: Methods and systems for normalizing views of real world space and virtual environment of an interactive application as viewed through a pair of augmented reality glasses include receiving content of the interactive application for rendering on a display screen of the pair of augmented reality glasses. The content is streaming content provided in response to inputs provided by the user and includes virtual objects. The virtual objects are dynamically scaled to match a scale of the real world objects to a scale of the virtual objects. The content of the interactive application dynamically scaled is projected as an overlay over the real world objects of the real world space viewed through the pair of augmented reality glasses. The content that is dynamically scaled enables a normalized view between the real world space and the virtual environment.

Abstract: A hand-gesture tracking engine includes a first artificial intelligence (AI) model component configured and trained to automatically identify a hand-gesture made by a source player within a video game. A hand-gesture intent engine includes a second AI model component configured and trained to automatically determine a message for communication to a target player within the video game as conveyed by the hand-gesture identified by the hand-gesture tracking engine. A hand-gesture translation engine having a third AI model component configured and trained to automatically generate a communication to the target player that conveys the message as determined by the hand-gesture intent engine. The third AI model component is configured and trained to automatically control sending of the communication to the target player.

Abstract: A method for determining an environment in which a user is located is described. The method includes receiving a plurality of sets of audio data based on sounds emitted in a plurality of environments. Each of the plurality of environments has a different combination of objects. The method further includes receiving input data regarding the plurality of environments, and training an artificial intelligence (AI) model based on the plurality of sets of audio data and the input data. The method includes applying the AI model to audio data captured from an environment surrounding the first user to determine a type of the environment.

Abstract: Implementations described herein provide systems and methods for generating a geographical heatmap based on variable factors. One implementation can include aggregating a plurality of data associated with a geographical location, generating a respective asset for a respective region within the geographical location, associating a respective subset of the plurality of data with the respective asset, determining a respective first type score for a respective first type data, determining a respective second type score for a respective second type data, generating a respective overall score based on the respective first type score and the respective second type score, constructing a map including each of the respective assets, and displaying, as a heatmap, the map with each respective asset.

Abstract: Methods and systems for determining a type of material of an object in a real-world environment are described. One of the methods includes receiving a plurality of sets of audio data based on sounds received from a plurality of objects within a plurality of environments. The method further includes receiving a plurality of sets of input data regarding a plurality of types of materials of the plurality of objects, training an artificial intelligence (AI) model based on the plurality of sets of audio data and the plurality of sets of input data, and applying the AI model to a set of audio data captured from the real-world environment to determine the type of material of the object within the real-world environment to enhance the realism of augmented reality (AR) or virtual reality (VR) video games and applications.

Abstract: A method for determining an environment in which a user is located is described. The method includes receiving a plurality of sets of audio data based on sounds emitted in a plurality of environments. Each of the plurality of environments has a different combination of objects. The method further includes receiving input data regarding the plurality of environments, and training an artificial intelligence (AI) model based on the plurality of sets of audio data and the input data. The method includes applying the AI model to audio data captured from an environment surrounding the first user to determine a type of the environment.

Abstract: A robot eye and two different eye tracking systems may be used in tandem to determine the accuracy of eye tracking software that is used as part of one of the eye tracking systems. If inaccurate, the eye tracking software may then be adjusted in response. In various example embodiments, a camera may be used in one of the eye tracking systems to then track movement of the robot eye using the eye tracking software itself. Also in various example embodiments, the other eye tracking system may include components such magnetic sensors, optical sensors like CMOS sensors, and/or lasers for tracking the same movement of the robot eye.

Abstract: A device may obtain data associated with an event and process the data via an evacuation prediction and management engine to obtain an evacuation prediction. When the evacuation prediction indicates that an evacuation order is likely to be issued within a period of time based on the event occurring, the device transmits, via the evacuation prediction and management engine, an evacuation service offering to a user device. Upon a user of the user device confirming acceptance of the evacuation service offering, the device receives a payment for the user for the evacuation service offering. When the event or evacuation order occurs and based on the payment for the evacuation service offering, the device automatically initiates a payment to a user account.

Abstract: Implementations described herein provide systems and methods for mitigating climate risk. In one implementation, an environmental forecast factor is determined based on one or more predictive climate models. The environmental forecast factor can be, for example, an environmental condition applied to a specific home. A severity of the environmental forecast factor on the specific home can be determined over a period of time. A financial instrument can be created that invests in an asset that is inversely related to the environmental forecast factor over the period of time, where the financial instrument is predicted to appreciate in value to at least the severity of the environmental forecast factor.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium for a climate risk assessment system. A disclosed climate risk assessment system can include a machine learning (ML) model or other neural network that is capable of understanding unstructured data to build loss models that can estimate effects of climate change and risks associated with building based on the effects of climate change. A method of the climate risk assessment system includes: receiving an unstructured document; identifying a property associated with the document based on geographical information extracted from the unstructured document; identifying at least one modified building property associated the unstructured document; updating a data structure corresponding to the building to include the at least one modified building property; and updating a loss model associated with the property based on the data structure.

Abstract: Implementations described herein provide systems and methods for mitigating climate risk. In one implementation, a risk factor is determined based on one or more predictive climate models. The risk factor is applied to a specific home, and an effect of the risk factor on the specific home is determined over a period of time. A mitigating action personalized to the specific home based on the risk factor is performed.

Abstract: An exemplary method for monitoring a package on a conveyor may include emitting a plurality of infrared beams, detecting one or more of the emitted infrared beams, calculating a package height using the detected infrared beams, determining whether the package height exceeds a predetermined threshold, and when the package height meets or exceeds the predetermined threshold, sending a signal indicating a height of the package exceeds the predetermined threshold. A package size detector may include a transmitter including a plurality of light sources and positioned on a first side of a conveyor, and a receiver positioned on a second, opposite side of the conveyor, including a plurality of light sensors, each of the plurality of light sensors being configured to detect light emitted from the plurality of light sources. A controller may be configured to determine whether a package height exceeds a predetermined threshold.

Abstract: Among the various aspects of the present disclosure is the provision of a ddPCR-based method of detecting oncogenic fusions, and its use in screening and monitoring a cancer treatment is disclosed. A method for detecting oncogenic fusions involving the histone-lysine N-methyltransferase 2A (KMT2A) gene is described.

Abstract: Gaze tracking data representing a user's gaze is analyzed to determine one or more regions of interest. One or more gaze tracking parameters are determined from the gaze tracking data. Adjusted foveation data is determined representing an adjusted size and/or shape of one or more regions of interest in one or more images to be subsequently presented to the user based on the one or more gaze tracking parameters. The compression of the one or more transmitted images is adjusted so that fewer bits are needed to transmit data for portions of an image outside the one or more regions of interest than for portions of the image within the one or more regions of interest. Adjusting compression of the transmitted image(s) includes decreasing a size of the foveal region for a subset of the one or more images that are presented to the user during the saccade or blink.

Abstract: A method including capturing a deformed gesture performed by a communicator, wherein the deformed gesture corresponds to a defined gesture that is intended by the communicator. The method including providing the deformed gesture that is captured to an artificial intelligence (AI) model configured to classify a predicted gesture corresponding to deformed gesture. The method including performing an action based on the predicted gesture. The method including capturing at least one multimodal cue to verify the predicted gesture. The method including determining that the predicted gesture is incorrect based on the at least one multimodal cue. The method including providing feedback to the AI model indicating that the predicted gesture is incorrect for training and updating the AI model. The method including classifying an updated predicted gesture corresponding to the deformed gesture using the AI model that is updated.