Abstract: An automated carrier system is disclosed for moving objects to be processed. The automated carrier system includes a discontinuous plurality of track sections on which an automated carrier may be directed to move, and the automated carrier includes a base structure on which an object may be supported, and at least two wheels assemblies being pivotally supported on the base structure for pivoting movement from a first position to a second position to effect a change in direction of movement of the carrier.

Abstract: In some implementations, a terminal device may obtain exchange information associated with an exchange initiated at the terminal device. The exchange information may identify a medium used in the exchange. The terminal device may be configured to present a terminal-side user interface for performing a signing operation of the exchange. The terminal device may selectively obtain user information associated with the medium used in the exchange. The user information may identify a user device associated with the medium. The terminal device may transmit, to the user device and based on obtaining the user information, presentation information that identifies content for a user-side user interface for performing the signing operation at the user device. The terminal device may receive, from the user device, signing information associated with a performance of the signing operation at the user device via the user-side user interface.

Abstract: The present disclosure describes image analysis techniques that identify the source of a document. Once the source of the document is determined, the image analysis may locate one or more anchor fields in the document. The anchor fields may identify one or more additional fields that contain time-sensitive data and/or information. The image analysis performed herein may identify the time-sensitive data and/or information and process the data and/or information to schedule due dates and reminders.

Abstract: A storage, retrieval and processing system for processing objects is disclosed. The storage, retrieval and processing system includes a plurality of storage bins providing storage of a plurality of objects, where the plurality of storage bins is in communication with a retrieval conveyance system, a programmable motion device in communication with the retrieval conveyance system for receiving the storage bins from the plurality of bins, where the programmable motion device includes an end effector for grasping and moving a selected object out of a selected storage bin, and a movable carriage for receiving the selected object from the end effector of the programmable motion device, and for carrying the selected object to one of a plurality of destination bins.

Abstract: In some implementations, a terminal device may obtain exchange information associated with an exchange initiated at the terminal device. The exchange information may identify a medium used in the exchange. The terminal device may be configured to present a terminal-side user interface for performing a signing operation of the exchange. The terminal device may selectively obtain user information associated with the medium used in the exchange. The user information may identify a user device associated with the medium. The terminal device may transmit, to the user device and based on obtaining the user information, presentation information that identifies content for a user-side user interface for performing the signing operation at the user device. The terminal device may receive, from the user device, signing information associated with a performance of the signing operation at the user device via the user-side user interface.

Abstract: The present disclosure describes image analysis techniques that identify the source of a document. Once the source of the document is determined, the image analysis may locate one or more anchor fields in the document. The anchor fields may identify one or more additional fields that contain time-sensitive data and/or information. The image analysis performed herein may identify the time-sensitive data and/or information and process the data and/or information to schedule due dates and reminders.

Abstract: In some implementations, a server device may receive, from a client device, a login credential associated with a user and a request to access a resource. The server device may identify a confidant associated with the user and a confidant device associated with the confidant, wherein the confidant device is different from a user device associated with the user. The server device may transmit, to the confidant device, a request to verify an identity of the user. The server device may determine whether a verification of the identity of the user is received from the confidant device. The server device may grant or deny access to the resource based on determining whether the verification of the identity of the user is received from the confidant device.

Abstract: A dynamic reasoning system may include a symbolic reasoning engine that iteratively calls a dynamic rule generator to answer an input query. The symbolic reasoning engine may determine a primary goal and/or secondary goals to generate proofs for the answer. The symbolic reasoning engine may call a rules component to provide rules to prove a current input goal. The rules component may use a static rule knowledge base and/or the dynamic rule generator to retrieve and rank rules relevant to the current input goal. The dynamic rule generator may generate new rules that lead to the current input goal. The dynamic rule generator may include a statistical model that generates unstructured or structured probabilistic rules based on context related to the input query. The symbolic reasoning engine may return a list of rules with confidence for explaining the answer to the input goal.

Abstract: In some implementations, a server device may receive, from a client device, a login credential associated with a user and a request to access a resource. The server device may identify a confidant associated with the user and a confidant device associated with the confidant, wherein the confidant device is different from a user device associated with the user. The server device may transmit, to the confidant device, a request to verify an identity of the user. The server device may determine whether a verification of the identity of the user is received from the confidant device. The server device may grant or deny access to the resource based on determining whether the verification of the identity of the user is received from the confidant device.

Abstract: A physical card may include a substantially planar body that may include a front surface, a back surface, and one or more side surfaces. The front surface may include a background formed primarily in a first color, and a plurality of embossed characters each having one or more front surfaces aligned substantially in parallel relative to the background. The plurality of embossed characters may include one or more side surfaces extending from the background at a lower edge to the front surface at an upper edge, wherein the one or more front surfaces of at least a first embossed character of the plurality of embossed characters are formed primarily in a second color different from the first color and the one or more side surfaces of at least the first embossed character are formed primarily in the first color to limit a viewing angle of the plurality of embossed characters.

Abstract: Generating textual entailment pair by a natural language processing (NLP) system. The NLP system receives two input texts, such as a question and a candidate answer. The NLP system queries a database and retrieves passages likely to include text that support the candidate answer. The NLP system generates parse trees and performs term matching on the passages and scores them according to the matching. The NLP system detects anchor pairs in the question and in the passage and aligns subgraphs (within the parse trees) of one to the other based on matching. The NLP system identifies aligned terms in the question and the passage that are not in the aligned subgraphs. The NLP system identifies text fragments, for the question and the passage, within the non-aligned segments of their respective parse trees, that connect the aligned term to the aligned portion of the subgraph.

Abstract: A physical card may include a substantially planar body that may include a front surface, a back surface, and one or more side surfaces. The front surface may include a background formed primarily in a first color, and a plurality of embossed characters each having one or more front surfaces aligned substantially in parallel relative to the background. The plurality of embossed characters may include one or more side surfaces extending from the background at a lower edge to the front surface at an upper edge, wherein the one or more front surfaces of at least a first embossed character of the plurality of embossed characters are formed primarily in a second color different from the first color and the one or more side surfaces of at least the first embossed character are formed primarily in the first color to limit a viewing angle of the plurality of embossed characters.

Abstract: The disclosed technology relates to improved user authentication to verify transaction legitimacy. An exemplary system may send a request for a current image to a mobile device associated with a user. The request may include an indication of a requested action to be performed by the user. The system may classify an action depicted in the current image obtained in response to the request. A determination may be made as to whether the depicted action corresponds to the requested action based on the classification. When it does correspond, the system may compare facial feature(s) recognized in obtained past image(s) associated with the user to a facial feature(s) recognized in the current image to determine when the user is depicted in both the past image(s) and the current image. When the user is depicted in both the past image(s) and the current image, the system may allow the transaction to proceed.

Abstract: Systems as described herein may use computer-readable code to extend access to an account. A delegation server may receive a predetermined limit and an activity period associated with an account from a first user who is an account holder. A virtual number may be generated with a reference to the account. The delegation server may encrypt the virtual number and generate a computer-readable code based on the virtual number. The computer-readable may be provided to a digital wallet of a second user to delegate the second user to have temporary access to the underlying account. The second user may then use the temporary access to the underlying account to make one or more purchases in accordance with the restrictions put in place by the accountholder.

Abstract: A physical card may include a substantially planar body that may include a front surface, a back surface, and one or more side surfaces. The front surface may include a background formed primarily in a first color, and a plurality of embossed characters each having one or more front surfaces aligned substantially in parallel relative to the background. The plurality of embossed characters may include one or more side surfaces extending from the background at a lower edge to the front surface at an upper edge, wherein the one or more front surfaces of at least a first embossed character of the plurality of embossed characters are formed primarily in a second color different from the first color and the one or more side surfaces of at least the first embossed character are formed primarily in the first color to limit a viewing angle of the plurality of embossed characters.

Abstract: Generating textual entailment pair by a natural language processing (NLP) system. The NLP system receives two input texts, such as a question and a candidate answer. The NLP system queries a database and retrieves passages likely to include text that support the candidate answer. The NLP system generates parse trees and performs term matching on the passages and scores them according to the matching. The NLP system detects anchor pairs in the question and in the passage and aligns subgraphs (within the parse trees) of one to the other based on matching. The NLP system identifies aligned terms in the question and the passage that are not in the aligned subgraphs. The NLP system identifies text fragments, for the question and the passage, within the non-aligned segments of their respective parse trees, that connect the aligned term to the aligned portion of the subgraph.

Abstract: The present disclosure describes image analysis techniques that identify the source of a document. Once the source of the document is determined, the image analysis may locate one or more anchor fields in the document. The anchor fields may identify one or more additional fields that contain time-sensitive data and/or information. The image analysis performed herein may identify the time-sensitive data and/or information and process the data and/or information to schedule due dates and reminders.

Abstract: A physical card has a body with dynamic region(s) configured to appear opaque for human viewing in a first phase and translucent for human viewing in a second phase. The card also has a computer readable chip, a power supply configured to power the one or more dynamic regions, a communication device, one or more processors, and memory storing instructions that, when executed, are configured to cause the card to perform a method. The card may receive an authorization signal from a recognized user device associated with a cardholder, direct dynamic region(s) to transition from being opaque in the first phase to being translucent in the second phase, and direct the dynamic region(s) to transition from being translucent in the second phase to being opaque in the first phase upon hitting a predetermined time threshold in the second phase.

Abstract: A system may comprise one or more processors, a memory in communication with the one or more processors, and storing instructions, that when executed by the one or more processors, are configured to cause the system to perform a method for decrypting an encrypted message. The method may include providing an encrypted code to a first user, receiving one or more first images comprising the encrypted code from a first user device associated with the first user. The method may include determining whether the first user device is a trusted device for the encrypted code. The method may include mapping the encrypted code to a first sequence of alphanumeric characters associated with the encrypted code. The method may include providing the first decrypted code comprising the first sequence of alphanumeric characters to the first user device for display in augmented reality proximate the encrypted code.

Abstract: A physical card has a body with dynamic region(s) configured to appear opaque for human viewing in a first phase and translucent for human viewing in a second phase. The card also has a computer readable chip, a power supply configured to power the one or more dynamic regions, a communication device, one or more processors, and memory storing instructions that, when executed, are configured to cause the card to perform a method. The card may receive an authorization signal from a recognized user device associated with a cardholder, direct dynamic region(s) to transition from being opaque in the first phase to being translucent in the second phase, and direct the dynamic region(s) to transition from being translucent in the second phase to being opaque in the first phase upon hitting a predetermined time threshold in the second phase.