Abstract: A re-usable wearable device includes a flexible PCB having a re-sizable hand portion with an attachment mechanism and at least one re-sizable digit portion. Each of the re-sizable digit portions includes at least one electrode connected to the flexible PCB by an adjustable electrode holder. Each electrode is positioned in close contact with the skin to provide electrical stimulation causing a referred sensation in another portion of the hand. Each electrode holder includes a setting with a track and anchoring mechanism for positioning the electrode at a radial position on the digit. The device can include sensors to measure the position and movements of the hand to augment or replace optical hand tracking information. The wearable device can provide referred sensation via electrical stimulation and improved position information.

Abstract: An example system includes a peripheral device including a first contact surface, and an electronic device including a housing, a second contact surface aligned with a surface of the housing, and a hinge coupled to the second contact surface. The second contact surface is to pivot into the housing about the hinge in response to an engagement with the first contact surface of the peripheral device.

Abstract: An autonomous system for detecting, localizing, and potentially deactivating chemical threats or emissions using multiple sensing modalities and reinforcement learning techniques. The system includes visual sensors (e.g., RGB, RGBD, LIDAR), non-visual sensors (e.g., gas concentration, airflow, GPS, RADAR), a neural network architecture and processor to fuse information from different sensors, a module based on deep reinforcement learning for decision making, and a robotic interface for executing actions. The neural network extracts relevant information from sensor streams and encodes them into a joint embedding space. The module considers the current observations, historical data, and previous actions to determine the optimal action for threat localization under partially observable conditions. The system is trained in simulated environments to minimize source localization time while accounting for various constraints.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: An autonomous system for detecting, localizing, and potentially deactivating chemical threats or emissions using multiple sensing modalities and reinforcement learning techniques. The system includes visual sensors (e.g., RGB, RGBD, LIDAR), non-visual sensors (e.g., gas concentration, airflow, GPS, RADAR), a neural network architecture and processor to fuse information from different sensors, a module based on deep reinforcement learning for decision making, and a robotic interface for executing actions. The neural network extracts relevant information from sensor streams and encodes them into a joint embedding space. The module considers the current observations, historical data, and previous actions to determine the optimal action for threat localization under partially observable conditions. The system is trained in simulated environments to minimize source localization time while accounting for various constraints.

Abstract: The present disclosure relates to the field of biomedicine, and in particular, to an improved mutant of a respiratory syncytial virus (RSV) fusion (F) protein and uses thereof. The mutant can form a trimeric structure without introducing a heterologous trimerization domain. Meanwhile, through mutation designs such as releasing internal electrostatic repulsion, deleting the furin cleavage site, truncating the C-terminal domain, and introducing interchain disulfide bonds, the protein is stabilized in the pre-fusion conformation and exhibits enhanced stability. The mutant in the present disclosure is highly immunogenic when used as a vaccine or a vaccine component and can induce the production of a high level of neutralizing antibodies in the immunized animal, which can be used in the preparation of a vaccine for the prevention or treatment of RSV infection, and can also be used as a reagent for the detection of RSV.

Abstract: Data sets may be enhanced to create data stores. Request to create data stores may be received. As part of performing the request to create a data store, items stored in an extensible data format may be identified for machine learning enhancement. Machine learning models may be applied to generate additional data from data in the items. The additional data may be added to extend the items and store the extended items in a new data store.

Abstract: The present disclosure relates to the field of biomedicine, and in particular, to an improved mutant of a respiratory syncytial virus (RSV) fusion (F) protein and uses thereof. The mutant can form a trimeric structure without introducing a heterologous trimerization domain. Meanwhile, through mutation designs such as releasing internal electrostatic repulsion, deleting the furin cleavage site, truncating the C-terminal domain, and introducing interchain disulfide bonds, the protein is stabilized in the pre-fusion conformation and exhibits enhanced stability. The mutant in the present disclosure is highly immunogenic when used as a vaccine or a vaccine component and can induce the production of a high level of neutralizing antibodies in the immunized animal, which can be used in the preparation of a vaccine for the prevention or treatment of RSV infection, and can also be used as a reagent for the detection of RSV.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: Techniques are described for an encoder or decoder to adaptively change coding based on a specific user's sensitivity to flickering, or flashing, or blockiness, or other visual artifacts. Alternatively, video may be pre-processed based on the user's sensitivity to suppress artifacts prior to encoding and/or post-processed to suppress artifacts after decoding.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: An apparatus, system and method are provided for an electrical stimulation. The apparatus generally includes at least two electrical stimulation units. Each electrical stimulation unit includes electrodes connected to the unit. The apparatus also includes a receiver configured for receiving the one or more control signals from a controller for controlling each of the electrical stimulation units to selectively apply a time-varying electric potential to the electrodes to provide an electrical stimulation to tissue in electrical contact with the electrodes. The apparatus generally includes a heating device.

Abstract: A method of automatically extracting information from electronic documents is discussed. The method includes a computer system receiving a plurality of electronic documents of a particular type that includes information arranged in a plurality of different formats. The method further includes, for each of a set of electronic documents, the computer system analyzes the electronic documents to identify tokens within the electronic documents, identifies a plurality of points-of-interest within the electronic documents, and matches points-of-interest based on distance between points-of-interest and a determination by a natural language processing model that the points-of-interest correspond. The method further includes generating revised versions of the electronic documents in which the matched points-of-interest are arranged in a universal format and storing the revised versions of the electronic documents.

Abstract: An apparatus, system and method are provided for a wireless electrical stimulation. The apparatus generally includes at least two electrical stimulation units. Each electrical stimulation unit includes electrodes connected to the unit. The apparatus also includes a receiver configured for receiving the one or more control signals from a remote controller for remotely, wirelessly controlling each of the electrical stimulation units to selectively apply a time-varying electric potential to the electrodes to provide an electrical stimulation to tissue in electrical contact with the electrodes. The apparatus generally includes a heating device.

Abstract: An apparatus, system and method are provided for a wireless electrical stimulation. The apparatus generally includes at least two electrical stimulation units. Each electrical stimulation unit includes electrodes connected to the unit. The apparatus also includes a receiver configured for receiving the one or more control signals from a remote controller for remotely, wirelessly controlling each of the electrical stimulation units to selectively apply a time-varying electric potential to the electrodes to provide an electrical stimulation to tissue in electrical contact with the electrodes. The apparatus generally includes a heating device.

Abstract: An apparatus to detect a liquid in a wafer processing device is provided. The apparatus includes a first conductor proximate the wafer processing device. The apparatus includes a second conductor spaced apart from the first conductor and proximate the wafer processing device. The apparatus includes a liquid absorption material surrounding the first conductor and the second conductor. The apparatus includes a current source coupled to the first conductor. The apparatus includes a current detector coupled to at least one of the first conductor or the second conductor. The liquid absorption material establishes a conductive pathway between the first conductor and the second conductor when the liquid absorption material absorbs the liquid in the wafer processing device. A current is generated, by the current source, in at least one of the first conductor or the second conductor through the conductive pathway. The current detector detects the current.

Abstract: A method implemented in a cloud gaming system having at least one server computer is provided, including the following operations: executing a game session of a video game, wherein the execution of the game session renders gameplay video and generates game state data; using a machine learning (ML) model to determine encoding parameter settings based on the game state data; applying, by an encoder, the encoding parameter settings for processing of the gameplay video to generate compressed gameplay video; streaming the compressed gameplay video over a network to a client device.

Abstract: An apparatus to detect a liquid in a wafer processing device includes a first conductor proximate the wafer processing device. The apparatus includes a second conductor spaced apart from the first conductor and proximate the wafer processing device. The apparatus includes a liquid absorption material surrounding the first conductor and the second conductor. The apparatus includes a current source coupled to the first conductor. The apparatus includes a current detector coupled to at least one of the first conductor or the second conductor. The liquid absorption material establishes a conductive pathway between the first conductor and the second conductor when the liquid absorption material absorbs the liquid in the wafer processing device. A current is generated, by the current source, in at least one of the first conductor or the second conductor through the conductive pathway. The current detector detects the current.

Abstract: An example system includes a peripheral device including a first contact surface, and an electronic device including a housing, a second contact surface aligned with a surface of the housing, and a hinge coupled to the second contact surface. The second contact surface is to pivot into the housing about the hinge in response to an engagement with the first contact surface of the peripheral device.

Abstract: Systems, methods, and devices are disclosed for training a model. Media data is separated into one or more clusters, each cluster based on a feature from a first model. The media data of each cluster is sampled and, based on an analysis of the sampled media data, an accuracy of the media data of each cluster is determined. The accuracy is associated with the feature from the first model. Based on a subset dataset of the media data being outside a threshold accuracy, the subset dataset is automatically forwarded to a crowd source service. Verification of the subset dataset is received from the crowd source service, and the verified subset dataset is added to the first model.