Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for automatically queuing participants during a conference call. For instance, the method may include receiving call data associated with a conference call; analyzing the call data to identify the participants on the conference call; and determining whether two or more participants of the plurality of participants are speaking at a same time. The method can also include tracking a first participant that continues speaking and a second participant that stops speaking; and displaying a queuing element on a graphical user interface (GUI) to indicate that the second participant is in a queue to speak once the first participant has finished speaking.

Abstract: A photoelectric conversion element includes a hole transport layer exhibiting excellent photoelectric conversion characteristics and having high durability. The photoelectric conversion element includes: a first electrode, a hole transport layer, a photoelectric conversion layer, an electron transport layer, and a second electrode. The first electrode, the hole transport layer, the photoelectric conversion layer, the electron transport layer, and the second electrode are laminated in this order. The photoelectric conversion layer has a perovskite structure, and the hole transport layer has an ionization potential in a range from ?5.4 eV to ?5.7 eV.

Abstract: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.

Abstract: Systems and methods for formatting data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data comprising a plurality of sequences of data values and training a recurrent neural network model to output conditional probabilities of subsequent data values based on preceding data values in the data value sequences. The operations may include generating conditional probabilities using the trained recurrent neural network model and the received data. The operations may include determining a data format of a subset of the data value sequences, based on the generated conditional probabilities, and reformatting at least one of the data value sequences according to the determined data format.

Abstract: Apparatuses, systems and methods are described herein for separately collecting and storing form contents. Different information may be collected from a user on a form. Based on determining that portions of the form request a first type of information, an extended reality (XR) environment may be provided to the user. The user may provide the first type information via an input method in the XR environment. The user may provide a second type of information using a different input method outside of the XR environment. The first type of information may be processed and stored in a different database as compared to the second type of information. The database storing the first type of information may have a higher security standard than the database storing second type of information.

Abstract: Systems and methods of the present disclosure enable automated and predictive generation of shortcuts to network resources by receiving a content part of a network resource based on a user selection of a link. Monitoring user interactions with the content part are monitored to produce user interaction data, and a usage parameter is determined based on the user interaction data. When a value of the user usage parameter exceeds a threshold value, a network resource content classification associated with the link is automatically generated based at least in part on a content classification machine learning model trained to classify the content part, the network resource, or both, based at least in part on a content similarity to an existing stored network resource identifier. A stored network resource identifier is automatically generated for the link in a network resource group of a user profile associated with the network resource content classification.

Abstract: Disclosed embodiments may include a method and system for automated incremental payments. The system may identify recurring charges from historical account data. Based on the recurring charges and an incremental period, the system may calculate an incremental amount and expected amount. At each iteration of the incremental period, the incremental amount may be assigned to a savings bucket. The value of the savings bucket may be subtracted from an actual account balance to calculate a reduced account balance. The system may generate and transmit a graphical user interface to a user device showing the reduced account balance. The system may receive current data containing a charge that corresponds to the recurring charges. The system may reduce the value of the savings bucket by the amount of the current data charge. If the current data charge is different from the expected amount, the system may adjust the incremental amount accordingly.

Abstract: Techniques to improve fraud detection for financial institutions maintaining a network of financial terminals. These techniques are applicable towards identifying instances of multiple account usage with at least one of the financial terminals. Example financial terminals known as Automated Teller Machines (ATMs) capture image data whenever a visitor initiates a financial service (and/or receives something of value) and leverage the techniques described herein to determine whether the visitor is engaged in multiple account usage. Such multiple account usage may occur when the visitor withdraws cash against two different accounts. These techniques are further applicable towards securing the two different accounts from misappropriation.

Abstract: Embodiments disclosed herein provide for dynamically modifying image and/or video content based on user preferences. Embodiments provide a server, a database containing user preference information and one or more content templates, and a content generator comprising a plurality of generative adversarial networks, wherein each generative adversarial network is associated with a corresponding style transfer, and the content generator is configured to apply one or more style transfers to a base image to convert the base image into a desired style. Once created, the customized content is sent to a client device to for display.

Abstract: Disclosed herein are system, method, and device embodiments for ATM access during a power outage. In an example embodiment, an automated teller machine (ATM) may receive power from a mobile device including a banking application, send the power to a rechargeable battery of the ATM, and enter a reduced power mode, wherein the ATM is powered by the rechargeable battery. Further, the ATM may receive a transaction request including an authentication credential from the banking application, determine an account associated with the authentication credential, determine an authorization result indicating whether to perform the transaction request, and generate recordation information corresponding to the authorization result.

Abstract: In some implementations, a recording device may obtain a settings configuration associated with deactivating an audio recording function or an audio processing function of the recording device, wherein the settings configuration indicates one or more deactivation events. The recording device may obtain first audio content associated with the recording device for identifying audio prompts associated with causing the recording device to perform one or more actions. The recording device may detect a deactivation event of the one or more deactivation events. The recording device may refrain from obtaining audio content based on detecting the deactivation event and until an activation event is detected. The recording device may obtain second audio content associated with the recording device based on detecting the activation event.

Abstract: Methods and systems for using a generative adversarial network to generate personalized content in real-time as a user accesses original content. The methods and systems perform the generation through the use of an application programming interface (“API”) layer. Using the API layer, the methods and systems may generate alternative content as a user accesses original content (e.g., a website, video, document, etc.). Upon receiving this original content, the API layer access the generative adversarial network to create personalized alternative content.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

Abstract: The 9,9?-spirobifluorene-based compounds and mixtures including 9,9?-spirobifluorene compounds with crosslinkable functional groups and compounds with two or more thiol groups, can stabilize one or more underlying layers of the hole transporting layer and/or interlayer during liquid fabrication process of optoelectronic and/or photoelectrochemical devices. More particularly, the compounds are hole transport materials that include crosslinkable functional groups covalently bonded to 9,9?-spirobifluorene hole transporting structure and mixtures including hole transporting crosslinkable 9,9?-spirobifluorene and thiol derivatives, which may crosslink, such as by exposure to UV, visible light, and/or heat. Photovoltaic devices may employ these compounds and mixtures in crosslinked forms.

Abstract: In some implementations, a server may receive, from a user device, one or more credentials associated with a user. Accordingly, the server may transmit, to the user device, instructions for generating a user interface including a plurality of visual components based on authenticating the user with the one or more credentials. The server may detect, during a first interval, a lack of interaction with the user interface. Accordingly, the server may remove one of the plurality of visual components from the user interface based on the lack of interaction. Additionally, the server may detect, during a second interval, one or more interactions with the user interface and may update a similarity score associated with the user based on properties associated with the one or more interactions. Accordingly, the server may restore the visual component to the user interface based on the updated similarity score satisfying a similarity threshold.

Abstract: A computing system retrieves a credit check algorithm. The credit check algorithm utilizes one or more parameters for evaluation of a credit score of an individual. The computing system identifies a plurality of entities contributing parameters for the evaluation of the credit score of the individual. The computing system compiles the credit check algorithm into a plurality of components. Each component corresponds to a respective entity of the plurality of entities and each component generates an output unique to the respective entity. The computing system transmits each component to a respective entity of the plurality of entities. The computing system instructs each entity to share a respective output with each remaining entity. The computing system receives a credit score for the individual from each of the plurality of entities. Each credit score received from each entity is the same.

Abstract: A method for generating a dual-class dataset is disclosed. A single-class dataset and a context dataset are obtained. The context dataset can be labeled. A model can be trained using the combination of the single-class dataset and the labeled context dataset. The model can be run on the context dataset. The data points that are classified the same as the data points included in the single-class dataset, can be removed from the labeled context dataset and added to the single-class dataset. These steps can be repeated until no data points are classified by the model.

Abstract: Methods, systems, and apparatuses for correlating electronic communications related to financial transactions. A computing device may receive a first communication related to an update to a past financial transaction. The computing device may identify a second communication by querying, based on the first communication, a communications database. The first communication and second communication may be correlated using one or more natural language processing algorithms. Based on correlating the first communication and second communication, the computing device may identify a portion of the second communication corresponding to the at least one good or service of the past financial transaction by processing, using the one or more natural language processing algorithms, the second communication. The computing device may then cause output of data indicating a correlation between the first communication and the second communication, and the indication of the change to the at least one good or service.

Abstract: Systems and methods for redeeming digital files are disclosed. In particular, the systems and methods relate to localized sharing of digital files such that the digital file is degraded when the file is redeemed. The digital file can include a plurality of bits, and bits of the digital file can be removed upon each transfer and/or access of the digital file. When a quantity of bits in the digital file falls below a predetermined threshold, the digital file can be deactivated. The systems can include an application that degrade the digital file. The degradation can include file compression, bitrate reduction, and/or removal of parity bits from the digital file. Security measures, such as private/public encryption keys, are also disclosed herein.

Abstract: Systems and methods for generating synthetic data are disclosed. For example, a 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 a dataset that includes time series data having a plurality of dimensions and generating a transformed dataset by performing a first data transformation. The first data transformation may include a time-based data processing method. The operations may include generating a synthetic transformed-dataset by implementing a data model using the transformed dataset. The data model may be configured to generate synthetic transformed-data based on a relationship between data of at least two dimensions of the transformed dataset. The operations may include generating a synthetic dataset by performing a second data transformation on the synthetic transformed-dataset. The second data transformation may include an inverse of the first data transformation.