Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating descriptions of digital components. In one aspect, a method includes receiving data indicating a query received from a client device of a user. An initial digital component is obtained. Search history data that includes a set of related past queries received from the user is obtained. Updated text related to the first resource is generated by conditioning a language model with one or more contextual inputs that cause the language model to generate one or more outputs that include the updated text, the one or more contextual inputs characterizing one or more of the first query, data related to the initial digital component, the sequence of related past queries, or one or more tasks to be performed by the language model. An updated digital component that depicts the updated text is generated and provided.

Abstract: Improved stimulated Raman spectroscopy is provided by replacing the Stokes (or anti-Stokes) optical source with a localized electromagnetic emitter that is excited with a non-electromagnetic excitation. Such a localized emitter can be an efficient Stokes (or anti-Stokes) source for stimulated Raman spectroscopy, and can also provide deep sub-wavelength spatial resolution. In a preferred embodiment, an electron beam from an electron microscope is used to excite the localized emitter. This provides combined Raman imaging and electron microscopy that has the two imaging modalities inherently registered with each other.

Abstract: Low drop-out (LDO) regulator circuits and methods that can operate at high frequencies without the adverse consequences of an oscillatory resonance effect from a capacitive load. In a first embodiment, a low pass filter (LPF) is coupled to the LDO and tuned to cancel the oscillatory resonance effect. In a second embodiment, the LPF is a second-order LPF and/or programmable. Since the tuning values of the programmable LPF may be programmatically selected, a much greater range of external capacitors values (with attendant ESR and ESL values), as well as a wider range of system parasitic capacitances, can be accommodated while maintaining system stability. Some variants of the second embodiment include an oscillation detector and filter bit control circuit that allows the tuning values of the programmable LPF to be dynamically determined and re-determined. An impedance-lowering device may be coupled to lower the impedance of the connection to the LPF.

Abstract: Improved surface enhanced Raman spectroscopy (SERS) of biological targets in liquids is provided. Nanoparticles are treated with a surfactant to provide an electrostatic attraction between the nanoparticles and the biological targets. The resulting clustering of the nanoparticles at the biological targets improves the SERS signal, Such SERS spectroscopy enables real time monitoring of the biological targets, thereby enabling a wide variety of assays etc.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for multi-stage computationally-efficient inference using a first and second neural network.

Abstract: Improved stimulated Raman spectroscopy is provided by replacing the Stokes (or anti-Stokes) optical source with a localized electromagnetic emitter that is excited with a non-electromagnetic excitation. Such a localized emitter can be an efficient Stokes (or anti-Stokes) source for stimulated Raman spectroscopy, and can also provide deep sub-wavelength spatial resolution. In a preferred embodiment, an electron beam from an electron microscope is used to excite the localized emitter. This provides combined Raman imaging and electron microscopy that has the two imaging modalities inherently registered with each other.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data is obtained from a sensor assembly of the device, radar measurements for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for radar measurements. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the radar measurements directly by updating the nonlinear state estimation technique using the nonlinear measurement models and the map information. The integrated navigation solution is then provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing network inputs using an attention neural network that has one or more sparse attention sub-layers. Each sparse attention sub-layer is configured to apply a sparse attention mechanism that attends differently for input positions that are in a first proper subset of the input positions in the input to the sub-layer than for positions that are not in the first proper subset.

Abstract: Low drop-out (LDO) regulator circuits and methods that can operate at high frequencies without the adverse consequences of an oscillatory resonance effect from a capacitive load. In a first embodiment, a low pass filter (LPF) is coupled to the LDO and tuned to cancel the oscillatory resonance effect. In a second embodiment, the LPF is a second-order LPF and/or programmable. Since the tuning values of the programmable LPF may be programmatically selected, a much greater range of external capacitors values (with attendant ESR and ESL values), as well as a wider range of system parasitic capacitances, can be accommodated while maintaining system stability. Some variants of the second embodiment include an oscillation detector and filter bit control circuit that allows the tuning values of the programmable LPF to be dynamically determined and re-determined. An impedance-lowering device may be coupled to lower the impedance of the connection to the LPF.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing network inputs using an attention neural network that has one or more sparse attention sub-layers. Each sparse attention sub-layer is configured to apply a sparse attention mechanism that attends differently for input positions that are in a first proper subset of the input positions in the input to the sub-layer than for positions that are not in the first proper subset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing network inputs using an attention neural network that has one or more sparse attention sub-layers. Each sparse attention sub-layer is configured to apply a sparse attention mechanism that attends differently for input positions that are in a first proper subset of the input positions in the input to the sub-layer than for positions that are not in the first proper subset.

Abstract: Methods and apparatus related to determining an activity of a user based on sensor readings from sensor(s), and providing, for presentation to the user via a user interface output of a computing device of the user, information that is based on the determined activity. In some implementations, the information may be provided in response to input entered by the user via a user interface input device of the computing device of the user. In some implementations, the input may be a search query and the information may be search results. In some implementations, the input may be a partial query and the information may be query suggestions.

Abstract: Prediction and subtraction of multiple diffractions may include transforming previously acquired seismic data from a time-space domain to a transformed domain using a dictionary of compressive basis functions and separating, within the transformed previously acquired seismic data, a first portion and a second portion of the transformed previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include predicting a plurality of multiple diffractions based on the separated first and second portions and adaptively subtracting the predicted multiple diffractions from the previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include inverse transforming a particular seismic data set from the transformed domain to the time-space domain.

Abstract: A multi-tier cloud-metering framework for metering cloud resources is presented. The proposed framework is capable of relating metering indicator of distributed resources contributing to the same application and located at different architectural levels. Metering data is collected from the front-end, the cloud nodes and VMs, and propagated through the middle-tier of the metering architecture to be processed and stored at the back-end. The design of the metering framework adopts a service-oriented architecture which allow the processing of cloud metering objects CMOs using service processing over open web transport protocol. To be able to build the middle and back-end tier, a SOA based on IPIoE and BOSML is presented which allow full consolidation of cloud resources achieving scalability and reducing the amount of wasted resources due to cloud resources de-fragmentation.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data is obtained from a sensor assembly of the device, radar measurements for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for radar measurements. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the radar measurements directly by updating the nonlinear state estimation technique using the nonlinear measurement models and the map information. The integrated navigation solution is then provided.

Abstract: Methods, apparatus, and computer-readable media are provided for analyzing a cluster of communications, such as B2C emails, to generate a template for the cluster that defines transient segments and fixed segments of the cluster of communications. More particularly, methods, apparatus, and computer-readable media are provided for generating and/or applying a trained structured machine learning model for a generated template that can be used to determine, for one or more transient segments of subsequent communications, a corresponding probability that a given semantic label is the correct semantic label for extracted content of the transient segment(s).

Abstract: Prediction and subtraction of multiple diffractions may include transforming previously acquired seismic data from a time-space domain to a transformed domain using a dictionary of compressive basis functions and separating, within the transformed previously acquired seismic data, a first portion and a second portion of the transformed previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include predicting a plurality of multiple diffractions based on the separated first and second portions and adaptively subtracting the predicted multiple diffractions from the previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include inverse transforming a particular seismic data set from the transformed domain to the time-space domain.

Abstract: Prediction and subtraction of multiple diffractions may include transforming previously acquired seismic data from a time-space domain to a transformed domain using a dictionary of compressive basis functions and separating, within the transformed previously acquired seismic data, a first portion and a second portion of the transformed previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include predicting a plurality of multiple diffractions based on the separated first and second portions and adaptively subtracting the predicted multiple diffractions from the previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include inverse transforming a particular seismic data set from the transformed domain to the time-space domain.

Abstract: Rendering graphical user interfaces display query results based on latent intent of users comprises a query network system. The query server stores data for each result of a group of search results, the product data comprising one or more items of metadata that are usable by the one or more computing devices and are not presented with the results for display to a user computing device. The server correlates items of metadata associated with results selected after first query to determine latent intent of the user. The server receives a second query and determines that the second query includes terms related to the first query. The server determines a latent intent of the second query based on the correlation and provides instructions to the user computing device to render a graphical user interface, the graphical user interface comprising the query results.

Abstract: Methods and apparatus related to determining an activity of a user based on sensor readings from sensor(s), and providing, for presentation to the user via a user interface output of a computing device of the user, information that is based on the determined activity. In some implementations, the information may be provided in response to input entered by the user via a user interface input device of the computing device of the user. In some implementations, the input may be a search query and the information may be search results. In some implementations, the input may be a partial query and the information may be query suggestions.