Abstract: Systems of the present disclosure generate database queries for financial information requested in a natural-language form. A natural-language processing (NLP) financial aggregator receives a request for financial information and extracts NLP features of the request, including keywords. The NLP financial aggregator determines a type of the request based on the features and creates a query in a database-query language for the financial information based on the type and on the features. The NLP financial aggregator submits the query to a database where the financial information is stored. The software then receives the financial information from the database and sends the information to the user.

Abstract: Embodiments of this disclosure provide an action recognition device and method and an electronic device. The method includes: performing key point recognition on an object in a video frame by using a neural network to Obtain key point information and part affinity field score(s) of the object; performing key point connection according to the key point information and the part affinity field score(s); generating multiple key point connection candidates according to a result of the key point connection; for at least two of the multiple key point connection candidates, determining whether one of the at least two key point connection candidates is valid, so as to perform selection on the multiple key point connection candidates; and performing action recognition on the object according to the selected key point connection candidates. Hence, by selecting the generated key point connection candidates, accurate of action recognition in a bottom-up scheme may be improved.

Abstract: Coding and decoding methods and apparatuses for adaptive color transform and a video codec device. The method includes: determining that a coding unit does not use adaptive color transform when an intra luma prediction mode of the coding unit is a non-regular mode, or determining that the intra luma prediction mode of the coding unit is not the non-regular mode when the coding unit uses adaptive color transform; and coding first indication information indicating whether the intra luma prediction mode of the coding unit is the non-regular mode and/or second indication information indicating whether the coding unit uses the adaptive color transform into a bitstream.

Abstract: Systems of the present disclosure generate database queries for financial information requested in a natural-language form. A natural-language processing (NLP) financial aggregator receives a request for financial information and extracts NLP features of the request, including keywords. The NLP financial aggregator determines a type of the request based on the features and creates a query in a database-query language for the financial information based on the type and on the features. The NLP financial aggregator submits the query to a database where the financial information is stored. The software then receives the financial information from the database and sends the information to the user.

Abstract: Systems of the present disclosure generate database queries for financial information requested in a natural-language form. A natural-language processing (NLP) financial aggregator receives a request for financial information and extracts NLP features of the request, including keywords. The NLP financial aggregator determines a type of the request based on the features and creates a query in a database-query language for the financial information based on the type and on the features. The NLP financial aggregator submits the query to a database where the financial information is stored. The software then receives the financial information from the database and sends the information to the user.

Abstract: A method and apparatus for performing group marking on a uniform transform unit mode and an electronic device are provided. The method includes: marking group units according to uniform transform unit modes of coding units included in the group units; wherein when the uniform transform unit modes of the coding units in the group units have a first value, a flag is set to be of a second value, and the group units are marked by using the first flag; and marking the coding units in the group units according to the uniform transform unit modes of the coding units included in the group units. According to this disclosure, when the uniform transform unit modes of the coding units in the group units are identical, the uniform transform unit modes of the coding units in the group units are not marked, thereby saving storage capability, transmission capability and processing capability.

Abstract: A method and apparatus for performing group marking on a uniform transform unit mode and an electronic device are provided. The method includes: marking group units according to uniform transform unit modes of coding units included in the group units; wherein when the uniform transform unit modes of the coding units in the group units have a first value, a flag is set to be of a second value, and the group units are marked by using the first flag; and marking the coding units in the group units according to the uniform transform unit modes of the coding units included in the group units. According to this disclosure, when the uniform transform unit modes of the coding units in the group units are identical, the uniform transform unit modes of the coding units in the group units are not marked, thereby saving storage capability, transmission capability and processing capability.