Abstract: A computing system may be configured to maintain virtual accounts or stashes for designated purchases or goals on top of underlying accounts. The computing system may enable funds to be auto-transferred from other accounts to virtual accounts. The computing systems may also recommend amounts to transfer into a virtual account. For example, a virtual account/stash for taxes may be auto-funded to cover predicted taxes for a small business. Recommendations for new virtual accounts/stashes may be made for future purchases and the like. Vendor offers, such as coupons relevant to the user, may also be provided to users of the virtual accounts based on the user's interactions with the system.

Abstract: Example systems and methods are disclosed for use in trait development in agricultural crops. One example computer-implemented method includes identifying multiple proposed varieties of a crop, wherein each of the multiple proposed varieties includes a distinct genetic sequence, as compared to the other ones of the multiple proposed varieties and to known varieties; predict, using a trained model, a trait of interest for each of the multiple proposed varieties based on data included in a repository; select ones of the multiple proposed varieties, based on an acquisition function which is based on phenotypic gain; and cause seeds representative of the selected ones of the multiple proposed varieties to be directed to an experimental phase to assess the trait of interest of the selected ones of the multiple proposed varieties.

Abstract: Examples provide a system and method for continuous respiratory rate monitoring with greater accuracy and reliability. Sensor data is obtained from a wearable sensor device simultaneously generating both multi-wavelength photoplethysmography (PPG) sensor data as well as inertial measurement unit (IMU) sensor data, such as respiratory body movement data generated by an accelerometer and/or a gyroscope. The system performs signal processing and filtering on the sensor data using a set of rules and threshold(s) to remove Mayer-wave in-band noise, transients, and motion artifacts. PPG-based respiratory rate estimates are generated and combined into a single PPG-based respiratory rate estimate based on the PPG sensor data. IMU-based respiratory rate estimates are generated and combined in parallel using the IMU sensor data to generate a single IMU-based respiratory rate estimate.

Abstract: Oscillator circuitry and methods of operation thereof are provided in which the oscillator circuitry includes at least a first oscillator, a second oscillator, and a lock detector. The first oscillator is configured to generate a first clock signal. The second oscillator is configured to generate a second clock signal. The lock detector is configured to detect a stable phase lock between the first clock signal and the second clock signal and to switch an output of the oscillator circuitry from the first clock signal to the second clock signal in response to detecting the stable phase lock.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support intelligent re-use of knowledge (e.g., across an organization) using a natural text-based querying framework. A knowledge representation of prior work performed for the organization may be generated based on organizational knowledge (e.g., historical work record data that identifies a plurality of work items across an organization). The knowledge representation may include individual work-record entities for each respective work item and individual knowledge graphs corresponding to the individual work-record entities. For each individual knowledge graph, operations may be performed to identity and store project name, subgraph, sentence embedding, and word embedding information.

Abstract: A self-biased, closed loop, low current free running oscillator clock generator method and apparatus are provided with a current mode comparator connected to a trimming resistor and configured to compare an internally generated voltage reference VREF signal to a voltage feedback signal VFB, where the current mode comparator comprises a common gate amplifier connected to a current mirror circuit in a negative self-biased closed loop to generate a control current signal for controlling a current controlled oscillator to produce an output clock signal having a clock frequency based on the control current signal, where a frequency-to-voltage converter is connected in a feedback path to receive the output clock signal and is configured to produce the voltage feedback signal VFB for input to the current mode comparator, wherein the clock frequency of the output clock signal is tuned to a nominal locked output frequency fOUT by the trimming resistor.

Abstract: Oscillator circuitry and methods of operation thereof are provided in which the oscillator circuitry includes at least a first oscillator, a second oscillator, and a lock detector. The first oscillator is configured to generate a first clock signal. The second oscillator is configured to generate a second clock signal. The lock detector is configured to detect a stable phase lock between the first clock signal and the second clock signal and to switch an output of the oscillator circuitry from the first clock signal to the second clock signal in response to detecting the stable phase lock.

Abstract: A computing system may be configured to enable a reassignment of a credit card purchase between a business account and a personal account. The reassignment may include reassignments from virtual accounts for designated purchases. A page in a user interface for a combined account management platform for a purchase may enable commenting between business partners and receipt capture sharing. The combined account management platform may restrict access to business partners such that they see pages for business purchases but not personal purchases.

Abstract: System, methods, and computer-readable media for a calibration check process of sensors on an autonomous vehicle (AV) via a drive-through environment mapped with a series of targets. The targets are used to check the calibration of the sensors on the AV as a quality check before the AV is determined fit to drive autonomously. Supervising a calibration process that collects data from the sensors on the AV based on exposure to a series of targets or augmented camera targets. The collected data may be used for extrinsic calibration aimed to determine that extrinsic parameters that define the rigid relationship between sensors are in set checker bounds.

Abstract: Embodiments described herein facilitate text wrapping around a text-based glyph in an effective and efficient manner. In embodiments, a text-based glyph is generated within a document. The glyph is generated from a font file that includes glyph data that instruct a document editor how to generate the glyph. Using the glyph data, an intersection between the glyph and a text tile, e.g., a text area boundary where text can be placed, of the document. An insertion location based on intersection is identified, and text is inserted within the text tile at the insertion location, thus providing the effect of wrapping the text around the text-based glyph.

Abstract: The disclosure relates to a handwritten input-recognition method for an electronic-device. The method comprises: obtaining by the device, at least one first handwriting input representative of at least one object. A context of the at least one first handwriting input is determined based on referring a log of actions performed upon the device. Using a neural network, a positional significance of the at least one first handwriting input is analyzed in relation to the determined context. A description depicting location of the at least one object is generated based on the analyzed positional significance of the at least one first handwriting-input. A command in response to the generated scene description is generated to enable performance of an action, the command referring the location of the at least one object within the scene.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support workload management. A computing device may generate recommendation information for processing of the workload, the recommendation information associated with a first execution environment selected from the set of candidate execution environments based on execution information that indicates, for each candidate execution environment of the set of candidate execution environments, a carbon intensity value associated with the candidate execution environment. The computing device may output a first indicator that indicates the recommendation information.

Abstract: Implementations set forth herein relate to an automated assistant and/or other application that can adapt settings of a foldable display interface of a computing device according to user interactions occurring during a multilingual conversation. During the multilingual conversation between at least two users, translated content of the conversation can be rendered at a portion of the display interface according to which user is actively speaking. When a user is actively speaking, a brightness level of a portion of the display interface that is facing another user in the conversation can be modified to emphasize that the user is speaking and that the translated content is being rendered. When the user who is speaking is also the owner of the computing device, a portion of the display interface that is facing the other user can exhibit a limited responsiveness to touch inputs.

Abstract: An enterprise's data source relevant to their customers is obtained at predefined intervals of time. The data is processed through classification machine learning models (MLMs) and labeled with features. The labeled data is provided as input to an attrition predicting MLM and one or more lists are provided as output identifying customers likely to leave the enterprise and customers with a high likelihood of remaining with the enterprise when provided an incentive to do so. The one or more lists are provided to enterprise interfaces and/or promotion systems for mitigating customer attrition. In an embodiment, results for the attrition predicting MLM are compared against results predicted by a Recency, Frequency, Monetary (RFM) analyzer in view of subsequent actual observed results for the customers with the enterprise. A continuous feedback loop for retaining the attrition prediction MLM is processed based on the comparison to improve the prediction MLM's F1 accuracy metric.

Abstract: The present disclosure describes methods and apparatus for remote sensing with data science. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.

Abstract: Static analysis of a code base is expanded beyond finding faults to also find code instances where a particular fault could have occurred but did not. A conformance count reflects code portions that satisfy a specified coding rule per static analysis, and a nonconformance count reflects code portions that do not satisfy the coding rule. Various metrics computed from the conformance count and nonconformance count drive software development quality assessments. For example, bugs or bug categories may be prioritized for developer attention, static analysis tools are evaluated based on the metrics, to reduce noise by eliminating low-value bug alerts. Particular areas of expertise of developers and developer groups are objectively identified. Source code editors are enhanced to provide specific recommendations in context. Other quality enhancements are also provided.

Abstract: Systems and methods for inferring recommendations and experiences for anonymous users of an online website are disclosed. Anonymous users of the online website are assigned anonymous user identifiers, and the browsing activity of the anonymous users is converted into features and aggregated over time. The anonymous users' interactions are monitored and used to generate labels that are combined with the feature dataset to produce a training dataset which is used to train a machine learning model. The browsing activity of an anonymous user may be converted into features and aggregated over time and fed into the trained machine learning model from which personalized experiences and recommendations may be generated and provided to the anonymous user.

Abstract: An Artificial Intelligence (AI)-based data product provisioning wherein a data product responsive to an informational requirement of a user query is identified or automatically built is disclosed. An enhanced user query generated from the received user query is used to search a plurality of data sources. Mapped search results are obtained and features of the mapped search results are used to determine if the responsive data product exists within the plurality of data sources. Else, a logical data product (LDP) including data entities required to build a responsive physical data product (PDP) is generated. The code to build the PDP is created from the LDP and executed on a target platform where the PDP is built. One or more of the PDP and an output of the PDP can be provided to the user as a reply to the user query.

Abstract: The present disclosure describes methods and apparatus for remote sensing with data analytics. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.

Abstract: Compounds that incorporate a succinic acid scaffold are disclosed that inhibit Lactate dehydrogenase-A (LDHA). Also disclosed are pharmaceutical compositions containing these compounds. In addition, methods of using these compounds in methods of inhibiting LDHA expression and/or enzymatic activity in cells and methods of reducing viability of cancer cells are disclosed. Also disclosed are methods of treating a subject in need thereof with the pharmaceutical compositions containing one or more LDHA-inhibiting compounds.