The present disclosure relates generally to techniques for analyzing and improving a bot system, and more particularly to an analytic system integrated with a bot system for monitoring, analyzing, visualizing, diagnosing, and improving the performance of the bot system. For example, an analytic system is integrated with a bot system for monitoring, analyzing, visualizing, and improving the performance of the bot system. The analytic system monitors events occurred in conversations between end users and the bot system, aggregates and analyzes the collected events, and provides information regarding the conversations graphically on a graphic user interface as insights reports at different generalization levels. The insights reports offer developer-oriented analytics to pinpoint issues with skills so a user can address them before they cause problems. The insights let a user track conversation trends over time, identify execution paths, determine the accuracy of their intent resolutions, and access entire conversation transcripts.

An information processing apparatus includes a detection unit and first and second classification units. The detection unit detects an event which causes a state of at least one bank constituting dynamic random access memory (DRAM) to transition. The first classification unit classifies the at least one bank state based on the detected event. The second classification unit classifies a DRAM state based on the at least one bank state. Statistical information that is based on the at least one bank or DRAM state is displayed with respect to a predetermined unit time. The at least one bank state and the DRAM state each includes at least one of the following: an operating state, in which data is being transferred, an inoperative state, in which data transfer is not possible due to a predetermined constraint, or a pause state, in which, although there is no constraint, data is not being transferred.

Some aspects are directed to a method of operating a circuit quantum electrodynamics system that includes a physical qubit dispersively coupled to a quantum mechanical oscillator, the method comprising measuring a parity of a first state of the quantum mechanical oscillator, subsequent to measuring the parity of the first state, measuring a parity of a second state of the quantum mechanical oscillator, the second state being different from the first state, applying a first drive waveform to the quantum mechanical oscillator, and applying a second drive waveform to the physical qubit concurrent with the application of the first drive waveform, wherein the first drive waveform and the second drive waveform are selected based at least in part on a result of comparing the measured parity of the second state to the measured parity of the first state.

An improved method for telecommunication analysis and monitoring employing a logic analyzer device. The logic analyzer device provides a plurality of concurrent graphic depictions of different electronic signals under differing electronic protocols for signal error determination on a communications channel. Error source determination is enabled through the provided concurrent depiction of digital and analog signal characteristics in the differing protocols, including digital data packets, signal voltages and timing. Through this concurrent depiction the user can visually discern potential causation for electronic communication errors caused by non-continuous signal anomalies affecting one or more of the protocols.

Methods and systems are described for obtaining a plurality of BER-specific correction values by comparing a first set of BER values obtained by sampling, at a sampling instant near the center of a signaling interval, a non-DFE corrected received signal with a second set of BER values obtained by sampling a DFE-corrected received signal at the sampling instant. A set of eye-scope BER measurements are obtained, each eye-scope BER measurement having a sampling offset relative to the sampling instant, a voltage offset value representing a voltage offset applied to alter a decision threshold, and an eye-scope BER value. A set of DFE-adjusted eye-scope BER measurements are generated by using BER-specific correction values to adjust the voltage offset values of the eye-scope BER measurements.

An information processing apparatus includes a data acquisition unit to acquire input data that is time-series data; a sampling error upper limit calculation unit to calculate, when similar learning subsequences selected from among a plurality of learning subsequences extracted from learning data that is time-series data are integrated to generate a sample subsequence. The information processing apparatus further includes a sampling error upper limit using data taken from the input data, the sampling error upper limit being an upper limit on dissimilarity between the learning subsequences to be integrated; and a sample subsequence generation unit to generate the sample subsequence from the learning data using the sampling error upper limit.

Methods and apparatus relating to techniques for power management. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to generate a voltage/frequency curve for at least one of a core or a sub-core in a processor and manage an operating voltage level of the at least one of a core or a sub-core using the voltage/frequency curve. Other embodiments are also disclosed and claimed.

A computer-implemented mechanism is provided that monitors usage of one or more computing resources within a set of computing components relative to a received workload. The mechanism calculates a maximum workload for the set of computing components from the monitored use of the computing resources within the set of computing components and determines an available overhead between the calculated maximum workload for the set of computing components and a current workload being performed by the set of computing components. The mechanism selects one or more maintenance tasks for the set of computing components, the total workload of the selected maintenance tasks being less than the determined available overhead.

To provide a PLC having a data collection function and a data display screen generation function. The PLC includes: a collection section that collects a symbol value stored in a symbol, which is a device or a variable serving as a collection target, according to the application program; a determination section that determines whether or not the symbol value collected by the collection section according to the application program satisfies a normal condition set for the application program to detect a status different from usual regarding the symbol value; and a generation section that generates a display screen including a determination result of the determination section and information indicating the symbol value collected by the collection section according to the application program.

An information processing apparatus includes a data acquisition unit to acquire input data that is time-series data; a sampling error upper limit calculation unit to calculate, when similar learning subsequences selected from among a plurality of learning subsequences extracted from learning data that is time-series data are integrated to generate a sample subsequence. The information processing apparatus further includes a sampling error upper limit using data taken from the input data, the sampling error upper limit being an upper limit on dissimilarity between the learning subsequences to be integrated; and a sample subsequence generation unit to generate the sample subsequence from the learning data using the sampling error upper limit.