Abstract: A system includes: an input voltage source; a power stage coupled to the input voltage source; a load coupled to an output of the power stage; and an error amplifier circuit coupled to the power stage. The error amplifier circuit includes an error amplifier; a transconductance stage coupled to an output of the error amplifier; an internal compensation switch; an external compensation switch; and control logic coupled to the internal compensation switch and the external compensation switch. The control logic is configured to selectively operate the internal compensation switch and the external compensation switch in one of an internal compensation mode and an external compensation mode.

Abstract: Methods, apparatus, and systems are disclosed that adjust transient response in a multistage system. An example apparatus includes a first filter including an input configured to be coupled to an output of a master stage, an amplifier, the first input of the amplifier coupled to the input of the first filter, the second input of the amplifier coupled to the output of the first filter, a second filter, the input of the second filter coupled to the output of the amplifier, and a comparator, the first input of the comparator coupled to the input of the first filter circuit, the second input of the comparator coupled to the output of the amplifier, the third input of the comparator coupled to the output of the second filter, and the output of the comparator adapted to be coupled to a latch.

Abstract: A lottery assembly and a packaging device are provided. The lottery assembly includes a lottery portion and a code portion, the lottery portion includes a lottery area, and the code portion is provided with a code area on a side surface thereof. The code portion is separated from the lottery portion, and first information included in the code area is in correspondence with second information included in the lottery area. The packaging device includes a housing and the above lottery assembly, and the housing defines an accommodation space for accommodating a commodity. The lottery portion is located in the accommodation space, and at least part of the code portion is provided outside the housing to expose the code area.

Abstract: A lottery assembly and a packaging device are provided. The lottery assembly includes a lottery portion and a code portion, the code portion is provided with a first code area at a side surface thereof, and the lottery portion includes a lottery area and a second code area. The code portion is separated from the lottery portion. First information of the first code area is in correspondence with second information of the lottery portion, and the first information of the first code area is in correspondence with third information of the second code area. The packaging device includes a housing and the above lottery assembly, and the housing defines an accommodation space for accommodating a commodity. The lottery portion is arranged in the accommodation space, and at least part of the code portion is provided at an outer side of the housing to expose the first code area.

Abstract: A system includes: an input voltage source; a power stage coupled to the input voltage source; a load coupled to an output of the power stage; and an error amplifier circuit coupled to the power stage. The error amplifier circuit includes an error amplifier; a transconductance stage coupled to an output of the error amplifier; an internal compensation switch; an external compensation switch; and control logic coupled to the internal compensation switch and the external compensation switch. The control logic is configured to selectively operate the internal compensation switch and the external compensation switch in one of an internal compensation mode and an external compensation mode.

Abstract: A dual mode switching regulator includes a PWM/PFM control architecture with PFM frequency foldback based on extending switching cycle off time TOFF. A controller includes a PWM/PFM clock generator that, in response to assertion of a TOFF control signal, extends the nominal PWM switching cycle off-time TOFFnom for an extended off-time TOFFext (variable), so that switching cycle off-time is [TOFFnom+TOFFext]. A TOFF modulator generates the TOFF control signal based on generating a TOFF control voltage from an ITOFF control current equal to [IPWM-IPFM], generated by sourcing an IPWM reference current, and, in response to a PFM load condition, sinking an IPFM control current. The TOFF control signal is asserted when the TOFF control voltage is not substantially equal to a TOFF reference voltage at the end of TOFFnom, to cause the PWM/PFM clock generator to extend switching cycle off-time to [TOFFnom+TOFFext], with the duration of TOFFext determining PFM switching frequency.

Abstract: A dual mode switching regulator includes a PWM/PFM control architecture with PFM frequency foldback based on extending switching cycle off time TOFF. A controller includes a PWM/PFM clock generator that, in response to assertion of a TOFF control signal, extends the nominal PWM switching cycle off-time TOFFnom for an extended off-time TOFFext (variable), so that switching cycle off-time is [TOFFnom+TOFFext]. A TOFF modulator generates the TOFF control signal based on generating a TOFF control voltage from an ITOFF control current equal to [IPWM-IPFM], generated by sourcing an IPWM reference current, and, in response to a PFM load condition, sinking an IPFM control current. The TOFF control signal is asserted when the TOFF control voltage is not substantially equal to a TOFF reference voltage at the end of TOFFnom, to cause the PWM/PFM clock generator to extend switching cycle off-time to [TOFFnom+TOFFext], with the duration of TOFFext determining PFM switching frequency.

Abstract: Methods, apparatus, and systems are disclosed that adjust transient response in a multistage system. An example apparatus includes a first filter including an input configured to be coupled to an output of a master stage, an amplifier, the first input of the amplifier coupled to the input of the first filter, the second input of the amplifier coupled to the output of the first filter, a second filter, the input of the second filter coupled to the output of the amplifier, and a comparator, the first input of the comparator coupled to the input of the first filter circuit, the second input of the comparator coupled to the output of the amplifier, the third input of the comparator coupled to the output of the second filter, and the output of the comparator adapted to be coupled to a latch.

Abstract: A computer-implemented system is provided for automatic training of an artificial intelligence (AI) asset. A preprocessing engine is provided for receiving an AI asset by upload and preprocessing the AI asset for training by: associating a set of definition parameters and training criteria with the AI asset; analyzing the training criteria to set a specification for training steps and process; and determining a quotation for the training having regard to known factors associated with the definition parameters and the training specification. A transaction engine is provided for presenting the quotation, receiving an approval of the quotation and a means of payment. A training engine is provided for training the AI asset according to the specification and releasing the AI asset after training.

Abstract: The present invention relates to diagnostic markers of fertility, reproductive dysfunction and infertility management. In particular, the invention relates a method for predicting the fertility potential of a subject, the method comprising determining the level of one or more of GDF9, BMP15 and/or cumulin in the subject.

Abstract: A method is provided for grading an artificial intelligence (AI) asset. After an AI asset is received for transaction, its performance is evaluated on a specialized task and a baseline of performance is established based on an evaluated state of the AI asset. The AI asset is then graded based on the evaluated performance in a task-environment. A value is ascribed to the AI asset. The AI asset is made available for transaction on an AI asset exchange. A related method is also provided where a second evaluation and grading are performed after the AI asset is trained.

Abstract: An integrated circuit includes an enable circuit and a main circuit. The enable circuit is configured to receive a supply voltage and an enable signal at a first voltage level, generate a start voltage by clamping the supply voltage to a threshold voltage level that is less than the supply voltage and generate an enable intermediate signal at a second voltage level that is less than the first voltage level and limited by the start voltage. In response to the enable intermediate signal being generated at the second voltage level, the enable circuit is configured to generate a start signal (such as a current). In response to the start signal being generated, the enable circuit is configured to generate an output signal at a third voltage level that is less than the first voltage level. The main circuit is configured to utilize the output signal as a supply voltage rail.

Abstract: A computer-implemented system is provided for exchange of artificial intelligence (AI) assets through an AI asset exchange. The system includes a preprocessing engine programmed for receiving an AI asset by upload and preprocessing the AI asset for transaction by: anonymizing an owner/transactor of the AI asset; associating a set of identification and description parameters with the AI asset; associating a set of transaction terms with the AI asset; and associating a set of use terms with the AI asset. The system also includes a listing engine programmed for listing the preprocessed AI asset according to the identification and description parameters. The system also includes a transaction engine programmed for mediating a transaction of the AI asset according to the transaction terms. A method of preparing an artificial intelligence (AI) asset for transaction is also provided.

Abstract: A method is provided for chat orchestrated visualization. In response to a substantive user communication received in the chat session, the system decomposes the terms of the communication into components. From at least one of the components, an intent of the communication is determined and a search is formulated with the intent which is searched in a plurality of data sources to obtain raw search results which are stored in a cache. Natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) may be used to generate a short text response to the user communication, and related web content is synthesized in text and other forms. The short response is displayed in the chat session while the synthesized web content is injected and displayed in a passive window, such that the chat session and the web content are displayed in different portions of the same screen.

Abstract: A method is provided for generating automated responses to customer questions. Terms of a customer question are received, which are then decomposed into components of the question. An intent is determined from at least one of the components. A query is formulated with the intent. The query is searched in a plurality of data sources to obtain raw search results. These raw search results are compared, and those results proximate to the intent are selected. After redundant and non-informative results are removed, these proximate search results are stored in a cache. The cache is further analyzed/processed to eliminate redundant parts. At least one of natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) is applied to the remaining text in the cache to generate a natural language answer to the customer question.

Abstract: A method is provided for prioritizing rule creation for computer-assisted customer care. When a question from a user of a device is received by a customer care analytics engine for which no rule is automatically fired, the question and a related device profile of the device are added to an unfired questions list. The analytics engine parses the question to match terms in other questions in the list. The question is also added to an appropriate category in the list based on the device profile. A prioritization algorithm is used to rank the question among other questions within the list or the category, ranking the question more highly according to the frequency of those terms in the category or the list. According to its rank-wise order, the question is directed for creation of a rule to permit automatic handling of questions having the same or similar terms in the future.

Abstract: An integrated circuit includes an enable circuit and a main circuit. The enable circuit is configured to receive a supply voltage and an enable signal at a first voltage level, generate a start voltage by clamping the supply voltage to a threshold voltage level that is less than the supply voltage and generate an enable intermediate signal at a second voltage level that is less than the first voltage level and limited by the start voltage. In response to the enable intermediate signal being generated at the second voltage level, the enable circuit is configured to generate a start signal (such as a current). In response to the start signal being generated, the enable circuit is configured to generate an output signal at a third voltage level that is less than the first voltage level. The main circuit is configured to utilize the output signal as a supply voltage rail.

Abstract: An unseen benefit indicator kit containing a vitamin, mineral, supplement product, a first biomarker test, and a final biomarker test. The kit provides an unseen benefit indicator that allows users to see health benefits while taking the vitamin, mineral, supplement product.

Abstract: A method is provided for creating pattern-problem pairs for proactive diagnosis of device issues. A plurality of problem reports are received from problem devices, each having parameters associated with a device profile. The problem reports are parsed to standardize and normalize terms. The parsed problem reports are analyzed to identify common problems in a set of such problem devices where there is a common set of parameters in a pattern. If the frequency of the problems in the set of devices exceeds a threshold, the parsed problem is associated with the pattern for future proactive diagnosis of a target device having the pattern, even without a problem report from the target device. A method of proactively diagnosing a potential problem on a device using such pattern-problem pairs is also provided.

Abstract: A method is provided for evaluating a customer generated communication about a customer device. Terms of a customer generated communication are received with respect to the customer's device. Through a sentiment analysis engine, a sentiment expressed through the customer generated communication is determined. The sentiment has a sentiment strength, positive or negative. Through a parsing engine, an issue is extracted with respect to the device as expressed through the terms of the customer generated communication. A device profile of the device is retrieved, which has device parameters. Relevant device parameters to the extracted issue are determined, and these are forwarded to a rules engine. Through the rules engine, the extent to which the extracted issue is factually justified is verified. The extent of factual justification is correlated with the sentiment strength to arrive at a sentiment accuracy index.