Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: Disclosed embodiments may include a method for automatically providing customized financial card incentives where the system can identify if a transaction is eligible for additional bonus rewards by determining if the user is a student using a clustering algorithm with user similarity data to generate a probability. Then, if the probability is above a predetermined threshold, a machine learning model with comprehensive user data classifies the user as a student or non-student. Once the user is determined to be a student, the transaction is verified as being an educational purchase using the transaction data or by having the user provide an image of a receipt. Once the transaction is verified, the transaction or items within the transaction qualify for additional rewards that are applied to the user’s account. Users who are not identified as students may qualify for a standard amount of rewards.

Abstract: In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Abstract: A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to correct ASR errors. The system may receive a transcription comprising transcribed word(s) and may determine whether the transcribed word(s) exceed associated predefined confidence level(s). Responsive to determining a transcribed word does not exceed a predefined confidence level, the system may generate a predicted word. The system may calculate a distance between numerical representations of the transcribed word and the predicted word and may determine whether the distance exceeds a predefined threshold. Responsive to determining the distance exceeds the predefined threshold, the system may determine whether at least one red flag word of a list of red flag words corresponds to a context of the transcription, and, responsive to making that determination, may classify the transcription as associated with a first category.

Abstract: Disclosed embodiments may include a method for automatically providing customized financial card incentives where the system can identify if a transaction is eligible for additional bonus rewards by determining if the user is a student using a clustering algorithm with user similarity data to generate a probability. Then, if the probability is above a predetermined threshold, a machine learning model with comprehensive user data classifies the user as a student or non-student. Once the user is determined to be a student, the transaction is verified as being an educational purchase using the transaction data or by having the user provide an image of a receipt. Once the transaction is verified, the transaction or items within the transaction qualify for additional rewards that are applied to the user's account. Users who are not identified as students may qualify for a standard amount of rewards.

Abstract: Systems, apparatuses, and methods are described for adjustment of card configurations for flight interruptions. Past flight interruptions that users experienced may be determined. Transactions conducted via the users’ payment cards during the past flight interruptions may be determined. The data may be used for determining customized metrics for adjusting card configurations of the payment cards during current flight interruptions. Default metrics for adjusting card configurations of the payment cards during current flight interruptions may be determined. Current flight statuses may be monitored for the users. Current flight interruptions may be detected for the users. Card configurations of the payment cards may be adjusted during the detected current flight interruptions.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: Systems, methods, and non-transitory computer-readable media can receive information describing one or more viewed media content items from a plurality of computing devices. Each computing device can communicate with the computing system over a persistent network connection. The information describing the one or more viewed media content items received from the plurality of computing devices can be aggregated. The aggregated information can be used to re-rank a set of media content items for one or more users.

Abstract: Methods and systems disclosed herein describe customizing searching. Search queries may be customized according to a user's preferences. A user may emphasize or indicate that additional weight should be given to one or more terms in a search query. Terms that are weighted higher may have a larger impact on the results that are returned in response to the search query. In addition to changing the terms in a search query, a user may provide a weight for each term. Each term in a search query may be weighted to varying degrees, giving a user more control over the results that are returned. The weights may be used with machine learning techniques to generate a vector representation of a search query. The vector representation of the search query may be compared with vector representations of search objects to determine results that match the search query.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: Systems and methods for analyzing metabolite concentration in a subject using a medical imaging system are provided. The method includes, using a nuclear magnetic resonance (NMR] system, acquiring data from a subject during multiple acquisitions using different echo times for the multiple acquisitions to create a chemical shift domain. The method also includes, using the chemical shift domain, identifying metabolites by at least two chemical shifts and generating a report indicating the metabolites.

Abstract: A spirit level includes a spirit level body. At least one measurement surface is arranged along the spirit level body, and the spirit level body is formed by a hollow profile member—preferably of rectangular cross-section. The at least one measurement surface extends uninterruptedly along the hollow profile member. At at least one first or second side wall which is preferably formed at a right angle to the measurement surface is at least one opening for insertion of at least one magnet or magnetizable body into the cavity in the spirit level body.

Abstract: A mobile device including a biometric or passcode scanner, scanning a biometric or passcode of a user of the mobile device, a biometric or passcode validator, validating the biometric data or passcode, a connection controller logging in to a secure network, and an access requestor, submitting to a server computer via a connection over the secure network, an access request for secure data, access to which is controlled by the server, and prompting the user to enter a biometric or to enter a passcode, wherein the biometric or passcode scanner scans the biometric or passcode entered by the user, the biometric or passcode validator validates the scanned biometric or passcode, and contingent upon the validating being affirmative, the access requestor submits to the server over the secure network, a request that the server generate an authentication for the mobile device to access the secure data.

Abstract: A spirit level includes a spirit level body. At least one measurement surface is arranged along the spirit level body, and the spirit level body is formed by a hollow profile member—preferably of rectangular cross-section. The at least one measurement surface extends uninterruptedly along the hollow profile member. At at least one first or second side wall which is preferably formed at a right angle to the measurement surface is at least one opening for insertion of at least one magnet or magnetizable body into the cavity in the spirit level body.

Abstract: The present invention provides a vision assistive device, including: a first reflector, a second reflector and a third reflector. The first reflector is disposed at a first position of a cornea of a human eye. The second reflector is disposed at a second position of the cornea of the human eye. The third reflector is directly disposed in front of the cornea of the human eye. The first reflector and the second reflector are configured to reflect external light such that the external light is focused at the third reflector. Then, the external light is reflected again by the third reflector to the human eye, thereby enhancing a light intensity of the external light received by the human eye.

Abstract: A mobile device including a biometric or passcode scanner, scanning a biometric or passcode of a user of the mobile device, a biometric or passcode validator, validating the biometric data or passcode, a connection controller logging in to a secure network, and an access requestor, submitting to a server computer via a connection over the secure network, an access request for secure data, access to which is controlled by the server, and prompting the user to enter a biometric or to enter a passcode, wherein the biometric or passcode scanner scans the biometric or passcode entered by the user, the biometric or passcode validator validates the scanned biometric or passcode, and contingent upon the validating being affirmative, the access requestor submits to the server over the secure network, a request that the server generate an authentication for the mobile device to access the secure data.

Abstract: A malware warning system, including a client sending requests to and receiving replies from a server, and a server, including a first warning generator sending to the client a warning including a threat level of content located at a web site, in response to receiving from the client a URL for accessing content at the web site, a second warning generator sending to the client a warning including information about at least one of the nature of the threat of the content located at the web site and a location of the web site, in response to receiving from the client a request for more information about the nature of the threat, and a third warning generator, sending to the client a warning including an instruction to perform a swipe gesture to confirm a request to access the URL, in response to receiving that request from the client.

Abstract: A mobile web browser embedded in a smartphone operative to open a secure and private session with a web server on the Internet via one or more cell towers, using a mobile IP address of the smartphone, the mobile web browser including a VPN connector operative to connect the smartphone to a secure VPN server and to establish a virtual IP address for the smartphone, the virtual IP address corresponding to the location of the VPN server, a switch operable to change a current IP address of the smartphone used by the mobile web browser from a non-VPN mobile IP address to the virtual IP address of the VPN server, in a seamless manner without interrupting a current session with a web server, a URL content scanner causing a URL of a web page to be scanned for potential malware, a URL blocker, a tracker scanner and a tracker blocker.

Abstract: The present invention provides a vision assistive device, including: a first reflector, a second reflector and a third reflector. The first reflector is disposed at a first position of a cornea of a human eye. The second reflector is disposed at a second position of the cornea of the human eye. The third reflector is directly disposed in front of the cornea of the human eye. The first reflector and the second reflector are configured to reflect external light such that the external light is focused at the third reflector. Then, the external light is reflected again by the third reflector to the human eye, thereby enhancing a light intensity of the external light received by the human eye.