Abstract: Embodiments of present disclosure provide a method for video frame prediction. The method includes receiving a plurality of video frames representing an initial portion of a scene. A foundation model is used for generating a perception program to extract symbolic, human-interpretable, physics-grounded attributes from each of the received video frames. Further, the foundation model is used for generating a dynamics program that models the temporal evolution of the extracted attributes based on physical principles. The foundation model also generates a rendering program that maps future attribute states to predicted video frames. The perception program is then executed to extract latent state representations from the initial video frames. The dynamics program is applied to the extracted latent state representations to generate predicted latent states corresponding to future time steps. The rendering program is also executed to convert the predicted latent states into future video frames.

Abstract: The sunshade/shield structure invention is practical, portable, and effective in skin care protection and prevention of skin cancer. It can be made as a commercial use product with less portability features or a residential/consumer model which is portable and can be disassembled and reassembled quickly via pins and or shock cords like camping hike tents. Its aerodynamic design is wind resistant and porous so water during a storm won't pool and stress the frame. It can be made of metal materials that are powder coated or high-impact absorbing, UV-protected plastics. The ground frame/base can be extended in length or width for custom chair fitting and stability because the frame sleeves in and out. A sand or ground anchor can be used in the yard or on the beach instead of the ground stand. The leg post interfaces with both ground and sand anchor bases. The ground frame will have two roller wheels so moving will be easy. Tip the shade back and touch the wheels to the hard surface for easy relocating.

Abstract: A system and method for multi-modal time-series parsing from weakly supervised data are disclosed. The method includes receiving a multi-modal input sequence comprising a plurality of segments, each containing data from at least one modality. A pre-trained pseudo-label generation model generates segment-level pseudo-labels by capturing temporal dependencies using a transformer-based architecture and extracting cross-modal correlations between different modalities. An uncertainty score is computed for each pseudo-label based on confidence measures derived from the model's predictions. An inference model is trained using uncertainty-weighted learning, optimizing event detection in a test multi-modal input sequence. The system implements these steps using a processor and memory storing executable instructions. Applications include real-time surveillance, autonomous vehicles, healthcare monitoring, sports broadcasting, and content moderation.

Abstract: A method, system, or device for hydration monitoring using trend analysis. The method may include measuring a physiological measurement of an individual with a sensor to obtain trend data correlating to a hydration level of the individual. The method may include removing an abnormal shift or an abnormal change from the trend data. The method may include removing abnormal shifts and changes from the raw trend data. The method may include identifying a trend parameter for the trend data, the trend parameter indicating a change in the hydration level of the body. The method may include determining a reference value for the trend parameter. The method may include identifying a change in the trend data for the trend parameter, the change in the trend data indicating a change in the hydration level of the individual.

Abstract: A feed storage arrangement for use with a sheet like feed barrier, the storage arrangement comprising at least one elongated leachate channel having an outlet end; and at least a first feed pad section extending along at least a portion of a length dimension of the leachate channel, the first pad section including first and second lateral edges and upper and lower edges wherein the first lateral edge is located proximate the leachate channel, the second edge is spaced apart from the first edge, the upper edge is proximate the outlet end of the leachate channel, and the lower edge is opposite and spaced from the upper edge, the first pad section sloped downward starting at the second edge and toward the first edge, wherein, with feed supported on the first pad section adjacent the leachate channel, the feed barrier is positionable on top of the feed with an edge portion extending over the leachate channel to a side of the leachate channel opposite the first pad section.

Abstract: An intravascular flow diverter for treating an aneurysm of a blood vessel is provided. The intravascular flow diverter includes a frame comprising a plurality of wires forming an expandable structure. The intravascular flow diverter includes a cover disposed on at least a portion of the outer surface of the device. The cover includes a first portion configured to be disposed directly against a neck of the aneurysm.

Abstract: A system for video anomaly detection is configured to extract, from a set of input frames of the input video, input appearance features indicative of the appearance of the object in a frame, input size features indicative of the size of the object in the scene, input location features indicative of the location of the object in the scene, and input trajectory features indicative of a trajectory of the object tracked in a set of frames of the input video. The system combines the input appearance features, the input size features, the input location features, and the input trajectory features to produce an input feature vector and compares the input feature vector with each of the exemplars extracted from the normal video to determine the smallest distance from the input feature vector to its closest exemplar. The system declares the anomaly when the smallest distance is greater than a threshold.

Abstract: Embodiments disclose video anomaly detection for an input video of a scene. An object in the input video is tracked by detecting bounding boxes of the object in a set of frames of the input video. Combined features of the object are extracted from the detected bounding boxes and context features are extracted from the set of frames of the input video in proximity of the detected bounding boxes of the object. An input feature vector for the object is generated by combining the combined features with the context features. A smallest distance from the input feature vector to its closest exemplar is determined based on comparison of the input feature vector with each exemplar in a set of exemplars. An anomaly detection result is produced using the smallest distance to indicate a presence or absence of an anomaly in the scene.

Abstract: The present invention relates to the treatment of diseases associated with inflammation including solid cancers. More particularly, certain methods relate to the administration (e.g., intravenously) of polyhedrin protein (PODS) crystals for the delivery of one or more therapeutic proteins. This enables targeted release of low doses of the therapeutic protein at sites of the disease.

Abstract: An artificial intelligence-based image processing system comprises a processor that executes instructions stored on a memory to classify an input image with a prototypical part neural network including a backbone subnetwork, a prototype subnetwork, and a readout subnetwork to produce an interpretable classification of the input image including one or a combination of a classification result of the input image and an interpretation of the classification result. The backbone subnetwork is trained with machine learning to process the input image with an incomplete sequence of active convolutional layers producing feature embeddings representing features extracted from pixels of different regions of the input image. The prototype subnetwork is trained to compare the feature embeddings with prototypical feature embeddings to produce results of comparison and the readout subnetwork is configured to analyze the results of comparison to produce the interpretable classification of the input image.

Abstract: Embodiments of the present invention provide a test system that includes an integrated protocol analyzer (IPA) and wherein memory allocated to different DUTs can be pooled for improved capture depth during testing. The IPA also monitors one or more sideband communication channels (or for system events) and can advantageously trigger a response by the test system (e.g., the capturing and/or filtering of data) during device testing based on prescribed sideband data or prescribed system events. The sideband channel can also be used to transmit commands and signals generated by a sideband automatic pattern generator (APG) of an FPGA in communication with a DUT to test or configure the DUT. The sideband channel can be monitored continuously to identify signals, commands, or other data that trigger certain responses by the FPGA or other test system components. The sidebands are typically implemented using dedicated input/output pins of the DUT and the FPGA.

Abstract: A medical balloon comprises a braided construct of a low melting temperature bonding yarn and a high-strength reinforcing yarn. The braided structure is contacted to the outer surface of a polymeric balloon serving as a scaffold and then post-processed in a reflow heating step which elevates the assembly above the melting temperature of the bonding yarn. The reflow heating step causes the bonding yarn to melt and flow over, around and under the reinforcing yarn and over and around the balloon. When the melted bonding yarn is cooled to an ambient temperature, it bonds to the reinforcing yarn and to the outer surface of the balloon.

Abstract: A cross-modality knowledge transfer system is provided for adapting one or more source model networks to one or more target model networks. The system is configured to perform steps of providing the TI paired datasets through the source feature encoders of the one or more source model networks, extracting TI source features and TI source moments from the TI paired data by the BN layers of the one or more source model networks, providing the TI paired datasets and the unlabeled TR datasets through the one or more target model networks to extract TI target features and TR target moments, training jointly all the feature encoders of the one or more target model networks by matching the extracted TI target features and TR target moments with the TI source features and TI source moments along with mixing weights, and forming a final target model network by combining the trained one or more target model networks.

Abstract: A microporous organic triazine polymer network of repeating triazine units copolymerized with hydrocarbon aromatic monomer units and/or heterocyclic aromatic monomer units arranged in a three dimensional porous network containing polyamine groups covalently bonded through an amino linkage to at least a portion of the aromatic monomer units is provided. Method to prepare the microporous organic triazine polymer network are also provided. A method for removal of carbon dioxide from a gaseous mixture employing the microporous organic triazine polymer network is also provided.

Abstract: A device for optimizing model performance includes: a memory resource storing a local model on an electronic device; and a first processor. The local model is obtained by use of a machine learning process. The first processor: obtains data at the electronic device; applies the local model to the data or further data derived from the data to obtain at least one local model result; generates a measure of the quality of the local model result, and sends the data, further data derived from the data and/or the local model result through a communication device to a second processor for use in updating a global model based on the measure of the quality of the local model result.

Abstract: The sunshade/shield structure invention is practical, portable, and effective in skin care protection and prevention of skin cancer. It can be made as a commercial use product with less portability features or a residential/consumer model which is portable and can be disassembled and reassembled quickly via pins and or shock cords like camping hike tents. Its aerodynamic design is wind resistant and porous so water during a storm won't pool and stress the frame. It can be made of metal materials that are powder coated or high-impact absorbing, UV-protected plastics. The ground frame/base can be extended in length or width for custom chair fitting and stability because the frame sleeves in and out. A sand or ground anchor can be used in the yard or on the beach instead of the ground stand. The leg post interfaces with both ground and sand anchor bases. The ground frame will have two roller wheels so moving will be easy. Tip the shade back and touch the wheels to the hard surface for easy relocating.

Abstract: Engineered quantum processing elements are disclosed. The engineered quantum processing element includes a dopant dot embedded in a semiconductor substrate. A dielectric material forms an interface with the semiconductor substrate. The dopant dot includes a plurality of dopant atoms and one or more electrons/holes confined within the dopant dot. The geometrical configuration of the plurality of dopant atoms with respect to the semiconductor substrate is engineered to achieve optimal linear hyperfine Stark coefficients. Further, aspects of the present disclosure are directed to methods of fabricating such engineered quantum processing elements.

Abstract: A system for video anomaly detection is configured to extract, from a set of input frames of the input video, input appearance features indicative of the appearance of the object in a frame, input size features indicative of the size of the object in the scene, input location features indicative of the location of the object in the scene, and input trajectory features indicative of a trajectory of the object tracked in a set of frames of the input video. The system combines the input appearance features, the input size features, the input location features, and the input trajectory features to produce an input feature vector and compares the input feature vector with each of the exemplars extracted from the normal video to determine the smallest distance from the input feature vector to its closest exemplar. The system declares the anomaly when the smallest distance is greater than a threshold.

Abstract: An interchangeable coupler for a heater system connects a plurality of resistive heating elements of the heater system to at least one busbar of the heater system. The interchangeable coupler includes a main body including an upper end portion, a lower end portion and an internal cavity extending from the upper end portion toward the lower end portion. The internal cavity defines a lower bore, and the lower end portion includes a plurality of flexible gripping members to deflect outward when a connection pin of a respective resistive heating element of the plurality of resistive heating elements is inserted into the lower bore. The main body includes at least one contact arm to be inserted through at least one slot of at least one aperture of the at least one busbar and rotated to abut a side of the at least one busbar.