Abstract: An aerosol generating article for use with an aerosol generating device comprises a substantially planar aerosol generating substrate, at least one airflow channel extending along the substantially planar aerosol generating substrate (14), and a wrapping member surrounding the substantially planar aerosol generating substrate and the at least one airflow channel. The at least one airflow channel comprises two or more portions having different cross-sections.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to detecting text of interest. In some embodiments, there is provided a system to detect vertically oriented text of interest including at least one camera and a control circuit configured to execute a trained machine learning model to automatically detect vertically oriented text of interest on an object of interest. The trained machine learning model is at least trained on a first data set including a plurality of captured digital images each depicting the object of interest, and a second data set including a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image including randomly generated text on a randomly selected background image.

Abstract: Various embodiments may include methods and systems for reconfiguring memory channel routing within a system-on-a-chip (SoC). A method may include obtaining first error information in response to misbehavior in a first memory channel communicatively connected to a network interface unit (NIU) of the SoC. The method may further include storing the first error information in non-volatile memory that is read upon booting of the SoC, and rebooting the SoC including the first memory channel. The method may further include configuring the first memory channel to be communicatively disconnected from the NIU and configuring a second memory channel to be communicatively connected to the NIU in response to reading the stored first error information during reboot.

Abstract: Techniques are disclosed for promulgating service information and topology information in a network in a high availability manner. An example device is configured to create a first service and topology exchange protocol (STEP) document. The first STEP document includes service information and topology information. The example device is configured to send the first STEP document to a first STEP repository for forwarding to at least one subscribing network device. The example device is also configured to send the first STEP document to a second STEP repository for forwarding to the at least one subscribing network device.

Abstract: Systems may include a watch band, a watch body comprising at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body.

Abstract: The technology described herein can identify phishing URLs using transformers. The technology tokenizes useful features from the subject URL. The useful features can include the text of the URL and other data associated with the URL, such as certificate data for the subject URL, a referrer URL, an IP address, etc. The technology may build a joint Byte Pair Encoding for the features. The token encoding may be processed through a transformer, resulting in a transformer output. The transformer output, which may be described as a token embedding, may be input to a classifier to determine whether the URL is a phishing URL. Additional or improved URL training data may be generated by permuting token order, by simulating a homoglyph attack, and by simulating an a compound word attack.

Abstract: A scalable influence concentration community detection apparatus comprising an optical quantum computing device capable of nomogram analysis to provide detection of a fraudster community. A consent mechanism for sourcing consent & data from social media websites may be implemented through oscillation cryptography. Community detection may be used to determine influence concentration for each customer of the organization's customer base through the data collated by a central organization, various financial institutions, and/or social media websites. An optical quantum computing based nomogram is used to detect a community profile for relationships between users. A consent method to source data from social websites may leverage photonic waves superimposition with another security mechanism.

Abstract: Aspects of the present disclosure are directed to translating application calls for on-device machine learning execution. A translation layer supports on-device machine learning execution by translating JavaScript software application call data to achieve interoperability with on-device machine learning models. For example, JavaScript software applications interact with data, such as images, audio, video, and/or text, in a format or data type that is compatible with the application. On the other hand, machine learning models interact with data in a form conducive to mathematical operations, such as a data structure representation (e.g., tensor representation). Implementations translate data types and/or data files to provide compatible data to each of a native JavaScript software application and on-device machine learning models.

Abstract: A system comprises a first computing device (CD) comprising processors in communication with a first plurality of quantum storage elements (QSEs); a second CD comprising processors in communication with a non-volatile memory, a second plurality of QSEs, and control circuitry configured to apply quantum gate operations to the second plurality of the QSEs, where the second CD is configured to: read a sequence of data (SOD) from the non-volatile memory, and use the control circuitry to generate quantum states stored in the second plurality of QSEs based at least in part on at least one of (1) a hypergraph-based representation associated with the SOD or (2) random circuit sampling and the SOD, where the SOD provides randomness for the random circuit sampling; and a quantum communication channel between the first CD and the second CD configured to transmit the quantum states from the second CD to the first CD.

Abstract: Mechanisms are disclosed for visualizing and comparing an import and update history of content package objects in an analytic content system. Object to package mapping identifiers corresponding to the content package object are received. A package-identifier object state of a state of the content package object is received corresponding to an imported package associated with a particular package identifier. A modified object state to an original object state is compared prior to re-export of the content package object. The current object state to an original object state of the content package object is compared prior to importing the content package object from the imported package. A visualization of an import history of the content package object is displayed. In response to determining that an issue is present with a most recent import of the one or more content package objects, imports are rolled back to a stable set of objects.

Abstract: The invention pertains to bispecific antibodies having two antigen binding specificities, one binding to an epitope of NKG2-D type II integral membrane protein (NKG2D) and one binding to an antigen associated with a disease, preferably a tumor associated- or tumor specific antigen, such as ErbB2 (HER2), CD19, CD20, GD2, PD-L1, EGFR, or EGFRvIII. The bispecific molecules of the invention are preferably applied in the context of the treatment of tumor diseases or infectious diseases. Surprisingly it was found that the use of NKG2D binding specificities that bind in a competitive manner to the NKG2D receptor with its natural ligands such as MICA reduces or prevents the inhibitory effect of ligand shedding. Another advantage of the present invention lies in a synergistic combination of the bispecific molecules of the invention and chimeric antigen receptor (CAR) based therapy.

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

Abstract: Various embodiments described herein support or provide for annotation of a media asset, such as an audio asset or a video asset, based on one or more events identified within content of the media asset. In particular, some embodiments can determine one or more of the following details with respect to content of a given media asset, which can represent annotations that enable determination of contextual information for the given media asset: events; event classification labels for events; subclassifications labels for events; scenes comprising events; attributes of scenes; themes presented by the content; and title-level attributes of the given media asset.

Abstract: A digital human interactive platform can determine a contextual response to a user input and generate a digital human. The digital human can convey the contextual response to the user in real time. The digital human can be configured to convey the contextual response with a predetermined behavior corresponding to the contextual response.

Abstract: A transportation management system generates routing guidance from an origin location to a destination location by modifying edge weights in a graph of a geographic location to penalize difficult immediate maneuvers. Responsive to receiving a routing request, the system identifies a position of a provider device in a base map having edges representing road segments and nodes representing intersections between road segments. A sub-graph is generated for the edges in the base graph located up to a threshold distance from the origin location, and the system modifies the weight of one or more edges in the sub-graph corresponding to a difficult immediate maneuver. When applying a routing algorithm to generate the routing guidance, the system uses the edge weights of the generated sub-graph for a first portion of the routing guidance and the original edge weights of the base graph for a second portion of the routing guidance.

Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving an ultrasound image that includes one or more blood vessels, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the one or more blood vessels in the ultrasound image. The method includes receiving a user selection of an instrument size, and indicating, in the ultrasound image, at least one blood vessel of the one or more blood vessels based on the instrument size and the diameters of the one or more blood vessels.

Abstract: Conversations with software applications have been an integral part of day-to-day activities. For a smooth conversations, it is necessary for a software to automatically help in understanding another software. A method and system for enabling conversational reverse engineering and understanding of software application has been provided. The present disclosure proposes a solutions which is configured to build a dynamic knowledge base for a bot to learn from an input application source code. The system and method are further configured to provide functional/domain context-based question interpretation and mapping of the information to the dynamically built knowledge base. A user query is converted to a proprietary question model. Further, a question verb, primary entity and secondary entity are extracted through natural language processing.

Abstract: A method of controlling an energy storage system in a vehicle, the energy storage system comprising a fuel cell energy conversion device and a junction box configured to connect the fuel cell energy conversion device to one of a bi-directional charging port and an electrical propulsion system. The method comprises determining a change in a vehicle operational status from a driving mode to a standstill mode; estimating a standstill duration; and based on a known relation between fuel cell degradation and fuel cell shut down duration for the fuel cell energy conversion device, determining if the fuel cell energy conversion device is to be active or shut down during the standstill.

Abstract: Virality cause determination includes receiving a plurality of historical feedback items. It further includes bucketing a first feedback item in the plurality of historical feedback items into a first partition of feedback items, and bucketing a second feedback item in the plurality of historical feedback items into a second partition of feedback items. The second partition of feedback items is a baseline partition of feedback items. It further includes determining a set of candidate patterns present in the first partition of feedback items. It further includes determining whether a candidate pattern in the set of candidate patterns is disproportionately associated with the first partition of feedback items relative to the baseline partition of feedback items.

Abstract: Systems and methods herein describe a patient provider matching system. The matching system receives a query from a patient user on a client device, generates supplemental questions, receives responses to the supplemental questions, identifies search results related to the query, for each search result in the identified set of search results: determines a probability that the patient user will select a provider associated with the search result based on a set of patient data associated with the patient user and a set of provider data associated with the provider and ranks the search result based on the determined probability and a set of system preference criteria, and causes display of the ranked set of search results on the graphical user interface of the client device.