Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by analyzing user response times to authentication questions. A request for access to an account may be received. Transaction data associated with a user of that account may be retrieved, and a list of merchants may be generated based on the transaction data. A blocklist may be retrieved, and the list of merchants may be filtered based on the blocklist. An authentication question may be presented. The authentication question may relate to the list of merchants. User responses may be received, and response times for the user responses may be measured. Based on the response times and the response times for other users, an average response time for the merchants may be determined. Based on the average response time for a particular merchant exceeding a threshold, the particular merchant may be added to the blocklist.

Abstract: A system and method of breakaway clutching in a device includes an arm including a first joint and a control unit coupled to the arm. The control unit includes one or more processors. The control unit switches the first joint from a first state of the first joint to a second state of the first joint in response to an external stimulus applied to the arm exceeding a first threshold, wherein movement of the first joint is more restricted in the first state of the first joint than in the second state of the first joint, switches the first joint from the second state to the first state in response to a speed associated with the first joint falling below a speed threshold, and prevents the switching of the first joint from the first state to the second state when the arm is in a predetermined mode.

Abstract: This disclosure is directed to calibrating sensors for an autonomous vehicle. First sensor data and second sensor data can be captured by one or more sensors representing an environment. The first sensor data and the second sensor data can be associated with a grid in a plurality of combinations to generate a plurality of projected data. A number of data points of the projected data occupying a cell of the grid can be summed to determine a spatial histogram. An amount of error (such as an entropy value) can be determined for each of the projected data, and the projected data corresponding to the lowest entropy value can be selected as representing a calibrated configuration of the one or more sensors. Calibration data associated with the lowest entropy value can be determined and used to calibrate the one or more sensors, respectively.

Abstract: Dishwasher, in particular household dishwasher, with a washing compartment a control device for carrying out a washing program from a number of washing programs and with an automatic dosing device for automatically dosing a plurality of dosing quantities from a supply a cleaning agent present as a solid in the washing area, the control device for cleaning the automatic dosing device being set up to control the automatic dosing device to switch to a cleaning state and to control the automatic dosing device for cleaning the automatic Dosing device to carry out a specific wash program from the number of wash programs.

Abstract: A computer implemented method of generating a custom signal from a data library containing multiple datasets of variable values correlated with time and geography includes receiving a user defined target variable, a time parameter, and a geography parameter, determining the applicable datasets from the data library overlapping the user-defined time parameter or geography parameter, testing the control variables of the applicable datasets for statistical significance to the target variable, aggregating a custom signal of at least three control variables having the greatest statistical significance to the target variable. The method includes generating a forecasting model by determining an internal feature analysis, determining an optimal external feature analysis, and selecting an optimal feature set based on a statistical strength of the internal feature analysis and the optimal external feature analysis.

Abstract: An Artificial Reality (AR) device captures an image of a physical environment surrounding a user wearing the AR device. A three-dimensional map corresponding to the physical environment is accessed. Then, a pose of the AR device relative to the three-dimensional map is determined based on first features of physical objects captured in the image and second features of object representations in the three-dimensional map. The device determines, using an eye tracker, a gaze of an eye of the user. Based on the gaze and the pose, a region of interest is computed in the three-dimensional map. Representations of physical devices in the region of interest of the three-dimensional map are identified. The device determines an intent of the user to interact with a physical device. A command is issued to the physical device based on the determined intent.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. A sensor pod may have an effective field of view created by individual sensors with overlapping fields of view. The sensor pod system may include sensors of different types and modalities. Sensor pods of the sensor pod system may be modularly disposed on a vehicle, for example, an autonomous vehicle to collect and provide data of the environment during operation of the vehicle. The sensor pods may be disposed at elevated locations around the vehicle to reduce obstacles within the sensor pods fields of view.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes through presenting favorite merchants selection in transaction-based authentication. A computing device may receive a request for access to an account associated with a user. The computing device may train a machine learning model to determine predicted favorite merchant information, and provide one or more transactions conducted by the user as input to the trained first machine learning model. Data indicating favorite merchant information may be received from the trained first machine learning model. An authentication question may be generated and a candidate response to the authentication question may be received. Based on the candidate response, access to the account may be provided.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by generating authentication questions based on the availability of statements. A computing device may receive a request for access to an account. The computing device may receive transactions data that indicates a plurality of transactions. The computing device may determine that a first subset of the plurality of transactions were indicated in one or more statements sent to the user. The computing device may determine that a second subset of the plurality of transactions have not been indicated in the one or more statements sent to the user. The computing device may generate authentication questions based on the first subset and the second subset. The computing device may receive candidate responses to the authentication questions, and provide access to the account based on the candidate responses.

Abstract: A pet waste apparatus, system, and method embodying an outdoor, ground-based litter-free pet commode providing sheltered access to a larger structure of the pet owner. The pet commode defines an enclosed area having a lower portion defined by a depth of ground removed and replaced with a layer of gravel and/or sand acting as a waste medium. The outdoor pet commode provides an external conduit coupled to an egress to the enclosed area so that a pet may move from the outdoor pet commode to an interior space of a larger structure without being exposed to the external environment.

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: Methods, systems, and apparatuses are described herein for improving computer authentication processes using static authentication questions with answers that change based on user account information. A request for access to an account may be received. A static question may be received. The static question may comprise one or more prompts and a plurality of different predetermined answers. Transaction data may be received. Based on the transaction data, a portion of the plurality of different predetermined answers may that correspond to correct answers may be determined. The question may be presented to a user, and a candidate response may be received. Access to the account may be provided based on the candidate response.

Abstract: Aspects described herein may allow for authenticating a user by generating a customized set of authentication questions based on spending patterns that are automatically detected and extracted from user data. The user data may include transaction data collected over a period of time that may indicate the types of merchants that a user frequently transacts with. By automatically detecting user patterns that correspond to user behavior over a period of time, an authentication system may be able to generate authentication questions about those spending patterns that are easily answerable to an authentic user but difficult to guess or circumvent for any other user.

Abstract: Aspects described herein may provide techniques for authenticating a user using transaction-based authentication questions that are generated based on item-level purchase data. The item-level purchase data of a transaction may include specific details of a transaction such as identification of each item purchased and corresponding prices paid for each item. Transaction-based authentication questions for a financial account may be generated based on the item-level purchase data that an authorized user of the financial account is likely to remember and that a malicious actor is unlikely to correctly guess. As a result, the authorized user of the account is likely to be correctly authenticated while the malicious actor is likely to answer the transaction-based authentication question incorrectly. Authentication can therefore effectively block malicious actors without overly burdening actual authorized users during the authentication process.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by analyzing user response times to authentication questions. A request for access to an account may be received. Transaction data associated with a user of that account may be retrieved, and a list of merchants may be generated based on the transaction data. A blocklist may be retrieved, and the list of merchants may be filtered based on the blocklist. An authentication question may be presented. The authentication question may relate to the list of merchants. User responses may be received, and response times for the user responses may be measured. Based on the response times and the response times for other users, an average response time for the merchants may be determined. Based on the average response time for a particular merchant exceeding a threshold, the particular merchant may be added to the blocklist.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by generating authentication questions based on the location of a user. Transaction data indicating a plurality of transactions associated with a user account may be received. Location data indicating a plurality of locations of a user device might be received. At least a subset of the plurality of transactions may be tagged, based on the location data, with an indication that a user was present for a respective transaction. For example, a location of a merchant might be compared to a user device location indicated by the location data. A plurality of authentication questions might be generated based on the subset of the plurality of transactions. Access to the user account might be provided based on responses to the plurality of authentication questions.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by dynamically adjusting questions presented during authentication. A request for access to an account may be received. A first authentication question may be generated based on a first transaction of a plurality of transactions associated with an account. Based on whether a response to the first authentication question is correct or not, a second or third transaction of the plurality of transactions may be selected, and a second authentication question might be generated based on the selected transaction. It may be determined whether to provide access to the account based on a response to the second authentication question.

Abstract: Aspects discussed herein may relate to techniques for authenticating a user using transaction-based authentication questions. Hold transactions conducted using a financial account may be identified and verified. The hold transactions may be transactions that do not post to the financial account, and therefore are not provided on any financial account statement. The transaction-based authentication questions may be generated based on the identified and verified hold transactions. The user may be authenticated based on responses by the user to the transaction-based authentication questions. Malicious actors that gain access to financial account statements are unlikely to answer the transaction-based authentication questions correctly as they are based on financial transaction data that is not provided on the financial account statements.

Abstract: Aspects described herein may relate to techniques for detecting login activity to a financial account during a knowledge-based authentication process. The login activity may be related to access to an online interface for the financial account. The detection of login activity during the authentication process my indicate that the integrity of the authentication process is compromised as login access may provide an individual with transaction data that may be used to answer transaction-based authentication questions. As a result of detecting login activity, an alternative authentication process may be initiated or an authentication request related to the financial account may be denied.