Abstract: A method, computer program product, and/or system is disclosed for changing the events monitored by a processor including: determining whether a change in the monitoring of the first event to the second different event has been requested; copying, in response to a request to change the monitoring of the first event to the second different event, op-codes from memory into microcode executable by a general processing engine; and executing the op-codes from memory by the general processing engine to change the first event monitored by the counter to the second different event.

Abstract: Embodiments relate to a system, program product, and method for mitigating voltage overshoot in one or more cores in a multicore processing device including a plurality of cores. The method includes determining, in real-time, an indication of power consumption within each core of the one or more cores. The method also includes determining, through the indication of power consumption, a voltage overshoot condition in the one or more cores. The method further includes increasing, for the one or more cores, a power demand thereof. The method also includes increasing, subject to the increasing the power demand, power delivery to the one or more cores, thereby at least arresting the rate of increase of the voltage overshoot.

Abstract: A system, method and computer-readable storage devices are for processing natural language commands, such as commands to a robotic arm, using a Tag & Parse approach to semantic parsing. The system first assigns semantic tags to each word in a sentence and then parses the tag sequence into a semantic tree. The system can use statistical approach for tagging, parsing, and reference resolution. Each stage can produce multiple hypotheses, which are re-ranked using spatial validation. Then the system selects a most likely hypothesis after spatial validation, and generates or outputs a command. In the case of a robotic arm, the command is output in Robot Control Language (RCL).

Abstract: A method, computer program product, and/or system is disclosed for changing the events monitored by a processor including: determining whether a change in the monitoring of the first event to the second different event has been requested; copying, in response to a request to change the monitoring of the first event to the second different event, op-codes from memory into microcode executable by a general processing engine; and executing the op-codes from memory by the general processing engine to change the first event monitored by the counter to the second different event.

Abstract: A reference voltage generator comprises a comparator, a digital-to-analog converter (DAC) and a switched capacitor accumulator. The comparator receives a reference voltage input, a feedback input, and a control signal. The DAC is coupled to an output of the comparator, and the switched capacitor accumulator is coupled to an output of the DAC. In some implementations, a digital filter is coupled between the output of the comparator and the input of the DAC. The switched capacitor accumulator can be coupled to a buffer that outputs the feedback input and a reference voltage for an analog-to-digital converter (ADC). In some implementations, the feedback loop includes N one-bit DACs coupled to the output of the comparator and N switched capacitor accumulators, each of which is coupled to a unique one-bit DAC.

Abstract: Embodiments relate to a system, program product, and method for proactively initiating throttle action on one or more cores in a multicore processing device to mitigate voltage droop therein. The method includes determining, in real-time, an indication of stall events within the core and determining one or more resolutions of the stall events. The method also includes determining, in real-time, a timing margin value for the core and predicting inducement of a voltage droop on the core. The method further includes integrating the resolutions of the stall events and the timing margin value for the core, determining, subject to the predicting, a throttle action for the core, and executing the throttle action on the core.

Abstract: A method for managing memory within a computing system. The method includes one or more computer processors identifying a range of physical memory addresses that store a first data. The method further includes determining whether a second data is stored within the range of physical memory addresses that stores the first data. The method further includes responding to determining that the second data is stored within the range of physical memory addresses that store the first data, by determining whether a process accessing the second data is identified as associated with a side-channel attack. The method further includes responding to determining that the process accessing the second data is associated with the side-channel attack, by initiating a response associated with the process accessing the second data.

Abstract: Embodiments relate to a system, program product, and method for mitigating voltage overshoot in one or more cores in a multicore processing device including a plurality of cores. The method includes determining, in real-time, an indication of power consumption within each core of the one or more cores. The method also includes determining, through the indication of power consumption, a voltage overshoot condition in the one or more cores. The method further includes increasing, for the one or more cores, a power demand thereof. The method also includes increasing, subject to the increasing the power demand, power delivery to the one or more cores, thereby at least arresting the rate of increase of the voltage overshoot.

Abstract: Embodiments relate to a system, program product, and method for proactively initiating throttle action on one or more cores in a multicore processing device to mitigate voltage droop therein. The method includes determining, in real-time, an indication of stall events within the core and determining one or more resolutions of the stall events. The method also includes determining, in real-time, a timing margin value for the core and predicting inducement of a voltage droop on the core. The method further includes integrating the resolutions of the stall events and the timing margin value for the core, determining, subject to the predicting, a throttle action for the core, and executing the throttle action on the core.

Abstract: Systems and methods are disclosed herein for discerning aspects of user speech to determine user intent and/or other acoustic features of a sound input without the use of an ASR engine. To this end, a processor may receive a sound signal comprising raw acoustic data from a client device, and divides the data into acoustic units. The processor feeds the acoustic units through a first machine learning model to obtain a first output and determines a first mapping, using the first output, of each respective acoustic unit to a plurality of candidate representations of the respective acoustic unit. The processor feeds each candidate representation of the plurality through a second machine learning model to obtain a second output, determines a second mapping, using the second output, of each candidate representation to a known condition, and determines a label for the sound signal based on the second mapping.

Abstract: A reference voltage generator comprises a comparator, a digital-to-analog converter (DAC) and a switched capacitor accumulator. The comparator receives a reference voltage input, a feedback input, and a control signal. The DAC is coupled to an output of the comparator, and the switched capacitor accumulator is coupled to an output of the DAC. In some implementations, a digital filter is coupled between the output of the comparator and the input of the DAC. The switched capacitor accumulator can be coupled to a buffer that outputs the feedback input and a reference voltage for an analog-to-digital converter (ADC). In some implementations, the feedback loop includes N one-bit DACs coupled to the output of the comparator and N switched capacitor accumulators, each of which is coupled to a unique one-bit DAC.

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.

Abstract: In described examples, a circuit includes an integrator. The integrator generates a first signal responsive to an input signal. A trigger circuit is coupled to the integrator and receives the first signal. A charge dump circuit is coupled to the integrator and the trigger circuit. The trigger circuit modifies configuration of the charge dump circuit and the integrator when the first signal is greater than a first threshold.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for collecting web data in order to create diverse language models. A system configured to practice the method first crawls, such as via a crawler operating on a computing device, a set of documents in a network of interconnected devices according to a visitation policy, wherein the visitation policy is configured to focus on novelty regions for a current language model built from previous crawling cycles by crawling documents whose vocabulary considered likely to fill gaps in the current language model. A language model from a previous cycle can be used to guide the creation of a language model in the following cycle. The novelty regions can include documents with high perplexity values over the current language model.

Abstract: In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

Abstract: In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

Abstract: A system and method are disclosed for generating customized text-to-speech voices for a particular application. The method comprises generating a custom text-to-speech voice by selecting a voice for generating a custom text-to-speech voice associated with a domain, collecting text data associated with the domain from a pre-existing text data source and using the collected text data, generating an in-domain inventory of synthesis speech units by selecting speech units appropriate to the domain via a search of a pre-existing inventory of synthesis speech units, or by recording the minimal inventory for a selected level of synthesis quality. The text-to-speech custom voice for the domain is generated utilizing the in-domain inventory of synthesis speech units. Active learning techniques may also be employed to identify problem phrases wherein only a few minutes of recorded data is necessary to deliver a high quality TTS custom voice.

Abstract: Machine translation is used to leverage the semantic properties (e.g., intent) already known for one natural language for use in another natural language. In a first embodiment, the corpus of a first language is translated to each other language of interest using machine translation, and the corresponding semantic properties are transferred to the translated corpuses. Semantic models can then be generated from the translated corpuses and the transferred semantic properties. In a second embodiment, given a first language for which there is a semantic model, if a query is received in a second, different language lacking its own semantic model, machine translation is used to translate the query into the first language. Then, the semantic model for the first language is applied to the translated query, thereby obtaining the semantic properties for the query, even though no semantic model existed for the language in which the query was specified.

Abstract: A method for managing memory within a computing system. The method includes one or more computer processors identifying a range of physical memory addresses that store a first data. The method further includes determining whether a second data is stored within the range of physical memory addresses that stores the first data. The method further includes responding to determining that the second data is stored within the range of physical memory addresses that store the first data, by determining whether a process accessing the second data is identified as associated with a side-channel attack. The method further includes responding to determining that the process accessing the second data is associated with the side-channel attack, by initiating a response associated with the process accessing the second data.

Abstract: Extracting, from user activity data, quantitative attributes and qualitative attributes collected for users having user profiles. The quantitative attributes and the qualitative attributes are extracted during a specified time period determined before the user activity data is collected. Values for the quantitative attributes and the qualitative attributes are plotted, and subsets of the user profiles are clustered into separate group of users based on the plotted values. Delivering a product related content to the groups of users based on the clustering.