Abstract: The present invention relates to a method of treating a cancer in a patient.

Abstract: Disclosed embodiments provide techniques for automated evaluation and scoring of curriculum challenges such as tests and quizzes. An automated score is provided to students, as well as prescriptive guidance on where the provided solution deviates from best practices and/or the taught curriculum. Curriculum material and challenge material are input to a machine learning system to create a grading model. The challenge material can include a software programming challenge. The grading model is used to evaluate curriculum responses and provide a score and feedback based on the evaluation. The evaluation can be based on the curriculum. There can be multiple ways to solve a programming (coding) challenge and disclosed embodiments give scoring preference to solutions that employ techniques covered in the curriculum.

Abstract: A device assembly includes a controller, which is configured to control the nicotine electronic vaping device to output an indication of a current level of the nicotine pre-vapor formulation in the nicotine reservoir of a nicotine pod assembly in response to determining that an aggregate amount of nicotine pre-vapor formulation drawn from the nicotine reservoir or an aggregate amount of vaporized nicotine pre-vapor formulation is greater than or equal to the at least one nicotine pre-vapor formulation level threshold.

Abstract: An embodiment includes identifying a first simulation and a second simulation such that the first simulation is within a threshold similarity of the second simulation. The embodiment generates a set of emergent simulations based at least in part on emergent hyperparameters, where the emergent hyperparameters are generated using the hyperparameters of the first and second simulations. The embodiment selects a subset of the set of emergent simulations according to a diversity metric and detects a causation variable in the selected subset of emergent simulations. The embodiment then generates a predictive simulation using the causation variable.

Abstract: Techniques are described with respect to a system, method, and computer program product for merging augmented reality experiences into an augmented reality environment. An associated method includes determining a first augmented reality experience of a first user and a second augmented reality experience of a second user; analyzing a plurality of environmental contextual data associated with the first augmented reality experience and the second augmented reality experience; and based on the analysis, generating a merged augmented reality environment comprising the first user and the second user.

Abstract: An optical sensor system for determining trajectory of a wheel includes: a wheel mounted in a wheel arch having an outer surface covered with evenly-spaced wheel treads; an optical sensor mounted in the wheel arch but not touching the wheel, for performing a plurality of counts corresponding to respectively capturing a plurality of images of the wheel according to the wheel treads, and comparing the captured images with a reference image to determine a 2D displacement. The optical sensor further performs a calculation to convert the measured 2D displacement of the wheel from its original position into a distance the wheel travels along a path in order to determine the wheel trajectory.

Abstract: According to one embodiment, a method, computer system, and computer program product for selecting methods of interfacing between a smart headset and a user based on privacy risk is provided. The present invention may include determining a privacy context of the smart headset based on the location, surrounding environment, and content associated with a smart headset, selecting at least one output method and at least one input method compatible with the smart headset based on the security of the output method and the input method within the privacy context, and operating the smart headset to interface with a user using the at least one output method and the at least one input method.

Abstract: A computer-implemented method, a computer system and a computer program product control participant interaction within remote meeting sessions. The method includes capturing participant data using a device, where the participant data is associated with a participant within the remote meeting session and is selected from a group consisting of: audio data, image data and text data. The method also includes identifying an event in the participant data. The method further includes determining that the participant has not modified a participant interaction mode. Lastly, the method includes modifying the participant interaction mode of the participant when the event is classified as causing a change of the participant interaction mode.

Abstract: A capsule for an aerosol-generating device may include a housing defining inlet openings, outlet openings, and internal channels between the inlet openings and the outlet openings. The internal channels are configured to hold an aerosol-forming substrate. The housing is configured to facilitate a heating of the aerosol-forming substrate via conduction and/or convection so as to generate an aerosol.

Abstract: An embodiment for a method of using machine learning algorithms to proactively identify potential errors in code instance data for creating technical documentation. The embodiment may receive code instance data. The embodiment may generate error classifications for the received code instance data using a convolutional neural network and natural language processing techniques. The embodiment may perform a correlation analysis to derive correlations between the generated error classifications for the received code instance data and similarly occurring classifications in one or more historical code instances. The embodiment may calculate a score for each of the derived correlations, the calculated score corresponding to a likelihood that the similarly occurring classifications in the one or more other code instances represents a potential error. The embodiment may output notifications to a user for each of the derived correlations for which the calculated score exceeds a threshold value.

Abstract: Systems and methods for generating customized image reaction submissions and visualizations on social networks are disclosed. In embodiments, a computer-implemented method includes: obtaining, by the computing device, user profile data of a user accessing an image on a social network, wherein the user profile data includes user interest categories of the user; determining, by the computing device, select content classes from a plurality of content classes associated with the image, wherein the select content classes match user interest categories of the user based on the user profile data; providing, by the computing device, selectable reactions to the user, wherein the selectable reactions each represent a different user reaction to the image; and providing, by the computing device, selectable content options to the user, wherein content option is associated with a different one of the content classes and is selectively associated, by the user, with at least one of the reactions.

Abstract: The intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Abstract: A process is provided for usage-pattern-based generation of a digital model of a product. The process includes obtaining a usage pattern of a user of a product, where the usage pattern includes a set of usage pattern parameters. In addition, the process includes using a machine learning model of an artificial intelligence system to generate a 3-D virtual image of the product aligned with the usage pattern, and analyzing, by the artificial intelligence system, the 3-D virtual image of the product to facilitate identifying a requirement specification for the product based on the usage pattern. Further, the process includes generating a digital model of a new product for the user based on the identified requirement specification.

Abstract: This disclosure provides, for example, double stranded DNA (dsDNA) molecules comprising a chemically modified cytosine nucleotide. In some embodiments, the dsDNA molecules comprise a therapeutic payload sequence. In some embodiments, the dsDNA molecules are resistant to endonuclease digestion and/or resistant to immune sensor recognition, and supports expression of a therapeutic payload encoded in the dsDNA molecules. The disclosure also provides, for example, pharmaceutical compositions comprising dsDNA molecules comprising a chemically modified cytosine nucleotide.

Abstract: Images placed in documents are enhanced based on the context in which the image is used. Context is determined according to document-specific indicators such as nearby text, headings, titles, and tables of content. A generative adversarial network (GAN) modifies the image according to the context to selectively emphasize relevant components of the image, which may include erasing or deleting irrelevant components. Relevant general-purpose images may be retrieved for use in the document and may be selectively enhanced according to usage of the general-purpose image in a given document.

Abstract: The present disclosure relates to aggregating and sharing wellness data. The wellness data can be received by a user device from any number of sensors external or internal to the user device, from a user manually entering the wellness data, or from other users or entities. The user device can securely store the wellness data on the user device and transmit the wellness data to be stored on a remote database. A user of the device can share some or all of the wellness data with friends, relatives, caregivers, healthcare providers, or the like. The user device can further display a user's wellness data in an aggregated view of different types of wellness data. Wellness data of other users can also be viewed if authorizations from those users have been received.

Abstract: This disclosure provides, for example, double stranded DNA (dsDNA) molecules comprising a chemically modified uridine nucleotide. In some embodiments, the dsDNA molecules comprise a therapeutic payload sequence. In some embodiments, the dsDNA molecules are resistant to endonuclease digestion and/or resistant to immune sensor recognition, and supports expression of a therapeutic payload encoded in the dsDNA molecules. The disclosure also provides, for example, pharmaceutical compositions comprising dsDNA molecules comprising a chemically modified uridine nucleotide.

Abstract: A context aware code snippet recommendation method, system, and computer program product that includes generating comments for source code, learning semantically meaningful sentence embeddings based on the comments, and retrieving code snippets from the source code based on the learned semantically meaningful sentence embeddings.

Abstract: Embodiments described herein are generally directed to integration of multiple services across multiple clouds within a unified IAM control plane. According to an example, an MSP provides (i) a user interface through which users of multiple tenants are able to configure permissions for and access multiple resources of a set of services associated with a hybrid cloud; and (i) a unified IAM control plane across the set of services, each of which potentially uses a different IAM protocol or scheme. A centralized IAM service is maintained by the MSP containing information regarding the permissions for the resources. Multiple service integrations for the set of services are supported by the MSP, including providing a first set of APIs that facilitate a direct integration with the unified IAM control plane in which the centralized IAM service maintains access control information for resources associated with a first service of the set of services.

Abstract: An electronic device with one or more processors and memory includes a procedure for enabling conversation persistence across two or more instances of a digital assistant. In some embodiments, the device displays a first dialogue in a first instance of a digital assistant user interface. In response to a request to display a user interface different from the digital assistant user interface, the device displays the user interface different from the digital assistant user interface. In response to a request to invoke the digital assistant, the device displays a second instance of the digital assistant user interface, including displaying a second dialogue in the second instance of the digital assistant user interface, where the first dialogue remains available for display in the second instance of the digital assistant user interface.