Abstract: The embodiments disclose an apparatus including at least one wearable with a plurality of sensors configured to measure physiological signals of the user, an app on a user smart phone wirelessly coupled to the wearable configured for receiving and forwarding wearable measured physiological signals, a digital network cloud platform wirelessly coupled to the app configured for receiving and processing the measured physiological signals, at least one machine learning device coupled to the digital network cloud platform configured for analyzing the measured physiological signals, at least one artificial intelligence device coupled to the at least one machine learning device configured for determining indications of user well-being conditions, at least one computer coupled to the at least one machine learning and artificial intelligence device configured to transmit well-being conditions indications to the digital telepathy app on the user smart phone, and transmit the well-being conditions indications to persons

Abstract: The present disclosure relates generally to improving surgical safety, and more specifically to techniques for automated detection of non-compliance to surgical protocols in a surgical environment such as an operating room. An exemplary method comprises: receiving one or more images of the operating room captured by one or more cameras; detecting a surgical milestone associated with a surgery in the operating room using a first set of one or more trained machine-learning models based on the received one or more images; detecting one or more activities in the operating room using a second set of one or more trained machine-learning models based on the received one or more images; and determining, based on the detected one or more activities and a surgical protocol associated with the detected surgical milestone, that an instance of non-compliance to the surgical protocol has occurred in the operating room.

Abstract: An event trigger to flush key-value data from a volatile memory device is detected. In response to detection of the event trigger, a determination is made whether the key-value data comprises uncommitted data for one or more active database transactions. If the key-value data comprises uncommitted data for one or more active database transactions, the uncommitted data is moved to a hold aside buffer in the volatile memory device, and committed data in the key-value data is stored on a non-volatile memory device.

Abstract: An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

Abstract: System and method for predicting and scoring a data model are provided. The system includes a memory configured to receive a plurality of data sets. The system also includes a processing subsystem operatively coupled to the memory and configured to select one or more variables based on a plurality of parameters, to apply feature engineering and transformation on one or more variables to extract a plurality of features from the plurality of data sets, to build new data model based on the plurality of features, to evaluate a classification technique to select a right machine learning model based on a plurality of elements, to predict a newly built data model based on an evaluated classification technique and score the predicted data model. The system further includes a display model operatively coupled to the processing subsystem and configured to present the predicted and scored data model in one or more forms.

Abstract: A portable air purifier and method includes a collapsible first tube; a perforated firm second tube that houses the first tube; a fan that brings air into a first end of the first tube and pushes the air through the first tube; a multi-part filter arranged in a concentric configuration inside the first tube; an outlet at a second end of the first tube; and a breathing mask coupled to the outlet. The filter filters the air as the air proceeds through the first tube and the outlet discharges filtered air from the first tube to the breathing mask. The first tube and the second tube may be semi-circular to fit around the neck of a user. The filter may be a corrugated filter. The portable air purifier may include a power source electrically connected to the fan.

Abstract: In some embodiments, systems, methods, and apparatuses are provided herein useful for managing a plurality of concurrent and nearly concurrent data requests within a computer system. The systems have a main data storage for storing source data, and a high speed, and/or remote data storage for storing computed data. In some embodiments, a combination of data filters and distributed mutex processes are used to eliminate or limit duplicate reads and writes into the high speed data storage units by ensuring only a single service module gets a lock to do the read and update of the cache; and makes it possible for keys to expire and be removed from the data filter. The systems and methods herein have various applications including retail sales environments where the requested data is related to product sales, product availability and the like.

Abstract: There is a need for more effective and efficient natural language processing (NLP) solutions. This need can be addressed by, for example, solutions for performing NLP-based document prioritization by utilizing joint sentiment-topic (JST) modeling.

Abstract: The present disclosure generally relates to a robotic control system and method that utilizes active perception to gather the relevant information related to a robot, a robotic environment, and objects within the environment, and allows the robot to focus computational resources where needed, such as for manipulating an object. The present disclosure also enables viewing and analyzing objects from different distances and viewpoints, providing a rich visual experience from which the robot can learn abstract representations of the environment. Inspired by the primate visual-motor system, the present disclosure leverages the benefits of active perception to accomplish manipulation tasks using human-like hand-eye coordination.

Abstract: The embodiments herein disclose methods and systems for monitoring health of eyes of a user, a method includes determining ambient light around an electronic device of the user. On determining that the ambient light is below a pre-defined threshold, the method includes determining a lumen output of at least one content to be displayed in at least one of a continuous manner and at pre-configured intervals. Based on the determined lumen output and at least one user profile, the method includes estimating a variation in a pupil size of the user. Further, the method includes generating an eye health index for the user based on the estimated variation in the pupil size of the user. Further, the method includes tagging the at least one content as safe based on the eye health index for viewing the at least one content.

Abstract: Stored procedures are generated to perform incremental updates to a materialized view for a database. When a request to create a materialized view is received, one or more internal tables are created from the database. A stored procedure is generated that when executed will update the materialized view of the database. The stored procedure may obtain changes to the database that were not included in the internal tables and update the internal tables to include the obtained changes. The stored procedure may be performed automatically and in response to requests.

Abstract: A computer implemented method includes receiving telemetry data corresponding to capacity health of nodes in a cloud based computing system. The received telemetry data is processed via a prediction engine to provide predictions of capacity health at multiple dimensions of the cloud based computing system. Node recoverability information is received and node recovery execution is initiated as a function of the representations of capacity health and node recoverability information.

Abstract: A combined on-package and off-package memory system uses a custom base-layer within which are fabricated one or more dedicated interfaces to off-package memories. An on-package processor and on-package memories are also directly coupled to the custom base-layer. The custom base-layer includes memory management logic between the processor and memories (both off and on package) to steer requests. The memories are exposed as a combined memory space having greater bandwidth and capacity compared with either the off-package memories or the on-package memories alone. The memory management logic services requests while maintaining quality of service (QoS) to satisfy bandwidth requirements for each allocation. An allocation may include any combination of the on and/or off package memories. The memory management logic also manages data migration between the on and off package memories.

Abstract: Example solutions for video frame action detection use a gated history and include: receiving a video stream comprising a plurality of video frames; grouping the plurality of video frames into a set of present video frames and a set of historical video frames, the set of present video frames comprising a current video frame; determining a set of attention weights for the set of historical video frames, the set of attention weights indicating how informative a video frame is for predicting action in the current video frame; weighting the set of historical video frames with the set of attention weights to produce a set of weighted historical video frames; and based on at least the set of weighted historical video frames and the set of present video frames, generating an action prediction for the current video frame.

Abstract: The present disclosure relates to zeolites comprising Al, Si, O, H, Na, K and Ca, wherein the zeolite advantageously comprises phillipsite and tobermorite phases. The present disclosure further provides methods of preparing the zeolites from a synthesis gel.

Abstract: Methods and systems for detecting personally identifiable information in data associated with a cloud computing system are described. An example method includes ingesting the data associated with the cloud computing system to generate source data. The method includes processing the source data by: performing cell-based de-duplication to generate cell-based de-duplicated data, subjecting the cell-based de-duplicated data to regular expression classification to generate a first subset of initial results, tokenizing the cell-based de-duplicated data to generate tokenized data, and de-duplicating the tokenized data and subjecting de-duplicated tokenized data to a first named entity recognition classification to generate a second subset of the initial results. The method includes cross-referencing the cell-based de-duplicated data and the initial results and subjecting output of the cross-referencing to a second named entity recognition classification to generate final results.

Abstract: A computing apparatus comprises one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media. The program instructions, when executed by the one or more processors, direct the computing apparatus to at least generate an audio recording of speech, extract features from the audio recording indicative of vocal patterns in the speech, determine a register classification of the speech based at least on the features, and display an indication of the register classification in a user interface.

Abstract: Generally described, the presently disclosed technology utilizes managed Wi-Fi networks pre-installed throughout an MDU property to provide user-specific passphrases that can be used to access the single-SSID wireless network at the property and to provide a cloud portal that can enable convenient access to the functionalities (both by the resident and the manager) provided by the Wi-Fi controller and the Wi-Fi access points. By doing so, the Wi-Fi network management solutions described herein allow the users to experience the benefits of a shared Wi-Fi infrastructure, such as not having to set up and maintain their own Wi-Fi routers, while also allowing them to easily change their Wi-Fi settings from their connected devices.

Abstract: A computerized-method for increasing productivity of agents in a contact-center by improving an automatic-scheduling generation in a Workforce-Management (WFM) application, is provided herein. The computerized-method includes operating an Agent-Productivity-Score-Generator (APSG) module, for each agent. The APSG module includes: (i) receiving an activity-type and a period for agents shift-placement; (ii) retrieving historical-data of a preconfigured number of metrics for each scheduled-shift during a preconfigured period; (iii) calculating a weighted-sum of the retrieved historical-data of the preconfigured number of metrics and preconfigured attributed weight thereof to yield an Agent-Productivity-Score (APS) for each shift; and (iv) selecting a shift having a highest APS and adding the selected shift of the agent to a list-of-maximum-shifts.

Abstract: A computing device may receive a signal from a first device and, based on the signal, determine a location of the first device. The computing device may determine that the first device is in motion, and may stop, while the first device is in motion, determining a location of the first device. The computing device may determine that the first device is no longer in motion, and resume determining the location of the first device.