Abstract: Described herein are systems and techniques for implementing a petrophysics assistant. An example method can include receiving, by a control language model configured to perform natural language processing, a query related to one or more subject areas; based on the one or more subject areas associated with the query and a respective domain-specific knowledge of each domain-specific language model from a plurality of domain-specific language models, selecting one or more domain-specific language models from the plurality of domain-specific language models to answer the query; sending, to the one or more domain-specific language models, a request to answer the query; and generating, by the control language model, a response to the query based on one or more responses to the query received from the one or more domain-specific language models.

Abstract: Recombinant nucleic acid molecules engineered for efficient propagation of a heterologous DNA sequence (such as a heterologous viral gene) that is toxic in E. coli are described. Influenza virus hemagglutinin (HA) and neuraminidase (NA) genes were used as exemplary toxic heterologous DNA sequences. Plasmids that included a heterologous DNA positioned between bacterial regulatory elements (such as lac operator sequences and/or terminator sequences) exhibited decreased gene transcription in E. coli and increased stability of the heterologous DNA while also retaining the property of inducible expression in E. coli.

Abstract: Optimized chimeric antigen receptors (CARs) targeting glypican-2 (GPC2) and having a CD28 hinge region and a CD28 transmembrane domain are described. The antigen-binding domain of the disclosed CARs is derived from GPC2-specific antibody CT3 or humanized versions thereof. The optimized CARs also include an intracellular co-stimulatory domain and an intracellular signaling domain. Immune cells or induced pluripotent stem cells expressing the optimized CARs can be used to treat GPC2-positive solid tumors, such as neuroblastoma.

Abstract: Disclosed are monoclonal antibodies and antigen binding fragments that specifically bind a coronavirus spike protein, such as SARS-CoV-2. Also disclosed is the use of these antibodies for inhibiting a coronavirus infection. In addition, disclosed are methods for detecting a coronavirus in a biological sample, using the disclosed antibodies.

Abstract: Techniques for controlling a trajectory of a mud motor directional drill are disclosed. A system receives one or more inputs pertaining to constraints for a wellbore in a mud motor drilling operation. The system constructs, as a function of the one or more inputs, a discretized well depth horizon. One or more binary slide and rotate commands for controlling a directional drill within the wellbore is generated based on an analysis of the discretized well depth horizon. The system controls the directional drill according to the one or more binary slide and rotate commands.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing ambient awareness of user actions between individual web modules or web applications within a webpage or web interface. The different modules subscribe to various notifications based on module type, action type, or other user action properties. An ambient awareness layer exists in the backend to receive detected event notifications from the different web modules indicating the detection of some user action with respect to graphical user interfaces (GUIs) generated by those modules. Based on the subscription properties, the ambient awareness layer identifies one or more web modules to be notified of the detected event. The ambient awareness layer then transmits an event notification to those modules. In response, the modules that receive the notification can modify the appearance of respective GUIs or their behavior to specifically tailor themselves to the user's actions or apparent interests.

Abstract: A method is disclosed and includes executing an integrated application comprising an SDK (software development kit) on a user device with a processor. The method includes determining, by the SDK and the processor on the user device, an checksum for the integrated application, validating, by the SDK in the user device, the integrated application using the determined checksum, and responsive to validating the determined checksum, performing, by the integrated application on the user device, an action.

Abstract: Methods and systems for text messaging-based self-service authentication in absence of a physical authentication token. In some aspects, the system receives, from a mobile device, a first text message indicating a request for account access in absence of the physical authentication token, in which the mobile device is operating on a mobile network and associated with a user digital identifier relating to the mobile network. The system transmits, to the mobile device, a second text message including a link to a webpage for account access in absence of the physical authentication token; determines, based on mobile device information associated with the mobile device and the user digital identifier, whether to authenticate the request; and in response to authenticating the request, provides a temporary machine-readable code associated with the user account. The temporary machine-readable code may allow a third party to access the user account by scanning the temporary machine-readable code.

Abstract: The disclosure relates generally to methods and systems for determining heat transfer rates between battery pack and coolant channel with varying coolant flow rate in a real-time. A lumped conductance generated between the battery pack and a coolant channel is used to determine the heat transfer rates between the battery pack and the coolant channel. Conventional techniques for calculating the lumped conductance between the battery and the coolant channel either use experimental methods or rely on the heat transfer correlations in simple geometry. The present disclosure calculates the lumped conductance by understanding an internal structure of a cylindrical battery pack using a high-fidelity computational fluid dynamic (CFD) simulation. This will help in determining the heat transfer rates of the battery pack in the real-time at the battery core especially when the coolant channel side hydrodynamic conditions change with time due to the variable coolant flow rates.

Abstract: The embodiments of present disclosure herein address unresolved problem of key capabilities that an intelligent robot must possess to perform complex and long-horizon object manipulation tasks without human intervention. The present disclosure overcomes above mentioned challenges by decoupling imitation learning task into two parts using a decouple neural network architecture comprising two modules. A high-level module that segments out sequence of primitive actions from video of human demonstration of a complex task and a low-level module that executes those primitives sequentially on robot. The high-level module, Task Sequencing Network (TSNet), is a hybrid neural network composed of Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) with Connectionist Temporal Classification (CTC) loss, while low-level controller is built using dynamic movement primitives (DMP). The network is trained in a supervised learning setting.

Abstract: Methods and systems for machine-readable code-based access in absence of a physical authentication token. In some embodiments, the system receives, from a mobile device, a text message, in which the mobile device is operating on a mobile network and associated with a user digital identifier relating to the mobile network, and the text message indicates a first request for access in absence of the physical authentication token. The system determines whether to authenticate the first request based on mobile device information relating to the mobile device. In response to authenticating the first request, the system provides a first machine-readable code associated with a user account; and receives a second request from a third party for accessing the user account. The system assesses second information based on a prediction model and first information associated with the first machine-readable code; and in response to a satisfactory assessment result, authenticates the second request.

Abstract: The disclosure herein relates to a method and system for time series forecasting incorporating seasonal correlations using scalable architecture. The scalable architecture comprises parallel encoders, a neural network layer and a decoder. The neural network layer is either an attention layer or RNN layer. Each of the encoders and the decoder comprises multiple sequential encoder and decoder units, respectively. The parallel encoders encode seasonal correlations in a time series to generate summary vectors which are then processed along with state of a previous decoder unit by the neural network layer to generate a feature vector whose size is independent of order of seasonality of the time series. The feature vector is then processed by a next decoder unit to forecast a seasonal time series data at a subsequent time step. This process is repeated for all the decoder units to train the deep neural network model for time series forecasting.

Abstract: Apparatus and methods are described for use of a sensor for monitoring a subject generate a sensor signal in response to the monitoring. Also disclosed is a computer processor to analyze the signal, and in response thereto, identify a correspondence between positions of the subject and occurrences of health events of the subject, and generate an output on the output device, in response to the identified correspondence. Other applications are also described.

Abstract: Described herein is an identity network for validating the digital identity of a user. The identity network may receive, from a relying party, an identity validation request to validate a digital identity of the user. The identity network may provide, to the relying party, a link associated with an identity provider application based on the identity validation request. The identity network may receive, from an identity provider associated with the identity provider application, a confirmation that the user has successfully accessed the identity provider application via the link. After receiving the confirmation, the identity network may receive from the identity provider, an attribute validation request to validate identity attributes of the user, where the attribute validation request includes a plurality of identity attributes of the user. The identity network may validate the digital identity of the user based on the plurality of identity attributes.

Abstract: In the Iris based biometric recognition systems, iris needs to be segmented before comparison and hence iris segmentation is a crucial process in iris based biometric recognition systems. Existing techniques are unable to segment iris due to occlusions and require complex and time consuming algorithms to remove these occlusions. Other deep learning based solutions require precise annotations of the iris regions along with eyelids and eyelashes. The present disclosure initially generates polygons on the iris and pupil area using a pre-trained detection model. Internally covered vertices and externally exposed vertices of the generated polygons are computed to construct curvature of the iris region. A pupil region is generated by filtering the plurality of vertices lying inside pupil circle region from the plurality of externally exposed vertices. Further, a segmented iris image is generated by removing the pupil region from the input image based on the curvature of the iris region.

Abstract: Disclosed is a contactless card, and a system in which the contactless card may be used. The contactless card may include a chip component, a communication interface, processing circuitry, and electromagnetic field sensing circuitry. The electromagnetic field sensing circuitry of the contactless card may be operable to provide orientation signals to the processing circuitry when the contactless card is in proximity to an oscillating electromagnetic field output by a card reader device. The processing circuitry of the contactless card may be operable to receive the orientation signals. An orientation of the contactless card with respect to the mobile device may be determined. An orientation indication signal may be generated based on the determined orientation, and a haptic indication, an audio indication, a visual indication or a combination directing movement of the contactless card in a particular direction may be output.

Abstract: Disclosed are systems and methods for detecting compromise of a plurality of co-located interaction cards; including: receiving interaction information indicating that an interaction has been processed, the interaction information indicating that one of the plurality of co-located interaction cards was used in the interaction, the one of the plurality of co-located interaction cards used in the interaction having limited authorized interaction modalities. Based on a determination that the interaction was processed via an unauthorized modality, it is determined that all of the plurality of co-located interaction cards are potentially compromised. In response to determining that all of the plurality of co-located interaction cards are potentially compromised, corrective actions may be taken including: sending an alert to a cardholder; sending an alert to an issuer of at least one of the plurality of co-located interaction cards; or locking each of the plurality of co-located interaction cards.

Abstract: A method and related system for visualizing search result information based on sentiment includes operations to retrieve sentiment scores associated with retrieved records associated with display scores and comprising values in a latent space, determining a centering sentiment based on the sentiment scores, and determining sentiment ranges and subranges based on the centering sentiment. The method further includes selecting a first record based on display scores of records within the first subrange, sending data comprising the sentiment range to a client device that causes the client device to present a visualization of a region bounded by the sentiment range. The visualization includes a first shape representing the first record positioned in a first subregion associated with a positive sentiment and a second shape representing a record within the second subrange positioned in a second subregion associated with a negative sentiment.

Abstract: Methods and systems for managing text messaging-based authentication in absence of a physical authentication token. In some embodiments, the system receives, from a mobile device, a first text message, in which the mobile device is operating on a mobile network and associated with a user digital identifier relating to the mobile network, and the first text message indicates a request for access in absence of the physical authentication token. The system performs an account search based on the user digital identifier. In response to locating a user account associated with the user digital identifier, the system performs an assessment based on mobile device information relating to the mobile network and associated with the user digital identifier; selects, from a plurality of candidate authentication protocols, an authentication protocol based on the assessment; and manages, based on the authentication protocol, the request for access in absence of the physical authentication token.

Abstract: Learning frameworks for processing text transcripts may include receiving, by an application, a query comprising a topic. A topic model may determine a plurality of subtopics based on the topic. The application may receive, from a database based on the topic and plurality of subtopics, a plurality of text transcripts. A sentiment model may compute, for each text transcript, a respective sentiment score based on a text of the respective text transcript. The application may determine, for each text transcript, a duration of a communication session associated with the respective text transcript. The application may compute, for each text transcript, a total score based on the sentiment score and the duration of the respective text transcript. The application may return, as responsive to the query, a subset of the plurality of text transcripts having a total score that exceeds a threshold.