Abstract: The present disclosure is directed to techniques to facilitate online commerce by leveraging user activity, specifically search activity for goods/services on an online platform. As described herein, the online platform refers to a turnkey e-commerce solution that enterprises use to manage electronic transactions involving their goods/services. Some techniques are directed to an improved online platform operative to predict a user's intention behind a search query and after a consider number of search queries, to have that search query as a dynamic search filter for the online platform. Other embodiments are described and claimed.

Abstract: A handheld aerosol-generating device may include an emitter configured to emit light, a sensor configured to receive light, and an aerosol chamber configured to hold an aerosol. The emitter may emit light into the aerosol chamber. The sensor may receive light from the aerosol chamber and measure at least one wavelength of the spectrum of the received light. Direct measurement of parameters, and/or the presence, of the aerosol in the aerosol chamber may be enabled, where the direct measurement of parameters of the aerosol in the aerosol chamber may enable optimal operation of an aerosol-generating system that may be the handheld aerosol-generating device.

Abstract: Systems and methods for documenting label versions for machine learning model input datasets are disclosed herein. The system may receive a label modification request for a dataset. The system may determine a dataset identifier and model error indicator. The system may determine a modification timestamp. The system may generate a label record and generate the label record in a label record database.

Abstract: A train control system minimizes in-train forces in a train with a hybrid consist including a diesel-electric locomotive and a battery electric locomotive. The train control system includes a virtual in-train forces modeling engine configured to simulate in-train forces and train operational characteristics using physics-based equations, kinematic or dynamic modeling of behavior of the train or components of the train when the train is accelerating, and inputs derived from stored historical contextual data characteristic of the train, and a virtual in-train forces model database configured to store in-train forces models. Each of the in-train forces models includes a mapping between combinations of the stored historical contextual data and corresponding simulated in-train forces and train operational characteristics that occur when the consist is changing speed. An energy management system determines an easing function of tractive effort vs.

Abstract: A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

Abstract: Systems and methods for selecting labels based on dataset similarity for machine learning model training data are disclosed herein. The system may receive a label modification request for a training datum. The system may retrieve label records corresponding to the datum identifier. The system may compare a pre-existing label with the new label. Based on determining that the pre-existing label differs from the new label, the system may generate a first dataset and a second dataset. The system may calculate a first average similarity metric and a second average similarity metric. The system may compare the first average similarity metric with the second average similarity metric. The system may generate a recommendation for a modified label.

Abstract: Machine learning systems and methods for validating workflows are provided. The system receives one or more digital images of a work action being performed, and processes the image using a hierarchical modeling process that includes a filter model and a cascaded expert model. The filter model processes the image to ascertain whether the image is suitable for use in validating completion of the work action. If the system determines that the image is suitable, the image is then processed by the expert model to classify whether the image depicts a scene occurring before, during, or after performance of the work action. The hierarchical modeling process can be utilized to validate different workflows based upon a specified workflow type. A plurality of hierarchical modeling processes can be applied in parallel to an input image in the event that a type of workflow to be validated is not specified in advance.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: Systems and methods for labeling data for artificial neural network models when data is received as real-time data and batch-processed data are disclosed herein. The system may receive a first data stream. The system may generate a first vector representation of the first real-time processed data. The system may determine the first label for a first training datum. The system may determine whether all data used to generate a final label has been received. The system may assign a first label type to the first label.

Abstract: A system and method are disclosed in which a user engaging in an online or in-person transaction with a merchant may create automatic expiring transactions for a credit card. The user provides the credit card information to an online interface or a point-of-sale device but specifies an expiration date that is on or before the actual expiration date of the credit card, known as an artificial expiration date. A token for the merchant is generated with the artificial expiration date. The issuing bank will honor the transaction with the artificial expiration date using the merchant-specific token, and the token may continue to be used with the online merchant until the artificial expiration date.

Abstract: A machine learning model supported trend detection engine can be available via an application programming interface to business or community planners to evaluate the potential for new plans or ventures. The model can be based upon transaction trends and available merchant data from transactions such as location, time, merchant type, and transactions history longevity from particular retailers. The model can generate a dashboard that shows past performance, predicted future performance, trends, similarity between businesses, and profitability. The new plan or venture can be correlated with other retailers that have been established and successful under a similar model and located near another retailer similar to the new plan or venture.

Abstract: Disclosed herein are various embodiments for a vehicle listing generation and optimization system. An embodiment operates by receiving a request to generate a vehicle listing to sell a vehicle on a website. A plurality of vehicle listings similar to the vehicle to be sold are determined, the plurality of vehicle listings including a plurality of features providing information about a respective vehicle featured in the vehicle listing and a performance metric indicating an effectiveness of a respective listing. A first cluster of listings from the plurality of vehicle listings similar to the vehicle are identified based on based on performing artificial intelligence clustering with respect to the metric. Common features amongst a subset of the first cluster of listings are identified. A user interface of a sales template for selling the vehicle associated with the request via the website is generated, wherein the sales template includes the common identified features.

Abstract: A system and method are described which attempt to connect merchants with phone numbers that are known to be associated with fraudulent users.

Abstract: Systems and methods for contactless authorization using voice recognition is disclosed. The system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving user data comprising a user identifier, an audio data having a first data format, and a client device identifier. The operations may include generating a processed audio data based on the received audio data. The processed audio data may have a second data format. The operations may include transmitting, to a speech module, the processed audio data. The operations may include receiving from the speech module, a voice match result. In some embodiments, the operations include authenticating a user based on the voice match result and transmitting, to a client device associated with the client device identifier, a client notification comprising a result of the authentication.

Abstract: A method for conducting a transaction is disclosed. A processor in a thin client may receive transaction data from a portable device of a first portable device type. The processor may determine that the portable device is the first portable device type. The processor may apply an encryption protocol associated with a second portable device type to the transaction data to create encrypted data. The processor may transmit the encrypted data to a remote computer, wherein the remote computer utilizes the encryption protocol to decrypt the transaction data, and thereafter process the transaction data to conduct the transaction.

Abstract: A system for managing an online meeting includes one or more hardware processors. The system also includes a non-transitory memory, the non-transitory memory storing instructions that, when executed by the one or hardware processors, causes the one or more hardware processors to perform actions. The actions include monitoring participants during the online meeting. The actions also include adjusting interaction between a least a subset of the participants via one or more interfaces based on the monitoring.

Abstract: The disclosed embodiments provide systems, methods, and techniques for managing transaction cards. User registration processes, order processes, and failure detection processes for a secure universal shopping cart are provided. Systems and methods may acquire identifiers. Systems and methods may also identify items associated with the identifiers. In addition, systems and methods may acquire a list of merchants that offer each item. Systems and methods may further determine, for each identifier, merchants based on user preferences. Even further, systems and methods may generate a payment token for each item. Systems and methods may then transmit the payment token for each item to its respective merchant.

Abstract: A drill bit is provided. The drill bit includes a bit body and an axle disposed in the bit body. The axle includes a first axle portion extending in a longitudinal direction and a second axle portion extending in the longitudinal direction. A longitudinal end of the first axle portion is continuous with a longitudinal end of the second axle portion. When viewed from the longitudinal direction, the first axle portion and the second axle portion are not coaxial, and an outer perimeter of the first axle portion is located entirely within an outer perimeter of the second axle portion. The drill bit also includes a first cutter disposed on the first axle portion and a second cutter disposed on the second axle portion.

Abstract: A method, electronic device, and computer-readable storage medium. A request is received to display a calendar identifying incoming physical item deliveries regarding a user's delivery point. User-associated shipment information is accessed identifying at least one first item scheduled for physical delivery and at least one second item scheduled for electronic delivery, and includes a record of physical delivery items and electronic delivery items. A sender's address is automatically populated to a recipient's address book, when a notification is received regarding the physical delivery item being in transit. Tracking data associated with the at least one first item from an integrated mail database and an integrated mail processing equipment is acquired and includes at least an expected delivery date. A notification regarding the at least one first item is displayed within a portion of an interface representative of the expected delivery date on the calendar.

Abstract: A method for providing identification using an endpoint device is disclosed. The endpoint device may include an electronic identity that is unique and can be securely stored. The electronic identity may be passed to an access device along with signed interaction data and a cryptogram. The access device may generate an authorization request with the cryptogram and may send it to a remote server computer for further processing.