Abstract: A generative dialog model training method in the fields of artificial intelligence, such as deep learning, natural language processing, intelligent dialogs, is disclosed. The generative dialog model training method may include: in response to determination of an update of a safety specification, taking an updated safety specification as a target safety specification, and determining a dialog input corresponding to a current optimization according to the target safety specification, the update being performed on a previous safety specification when a generative dialog model after last optimization is determined not to meet a launch requirement; and optimizing the generative dialog model according to the dialog input and a principle that a reply generated by the generative dialog model conforms to the target safety specification, the generative dialog model being configured to generate the reply corresponding to the dialog input.

Abstract: The present disclosure relates to a method for analyzing a geological body with the help of physical and chemical properties thereof, and in particular, to a method for identifying an exudative sandstone uranium deposit. With the method for identifying an exudative sandstone uranium deposit according to the embodiments of the present disclosure, an exudative sandstone uranium deposit formed by an exudation metallogenesis may be systematically identified, so as to guide prediction and prospecting evaluation of a uranium deposit in red variegated sandstone formations of a sedimentary basin, avoid ore dislocation and ore leakage, open up new prospecting positions and spaces, and break through new uranium resources.

Abstract: The present disclosure relates to an uplink summation method and device, and a distributed antenna system. The method comprises: acquiring uplink CPRI data streams of a channel of an AU or an EU in a system, performing bit width extension on the CPRI data streams, and performing full precision summation; extracting an orthogonal IQ signal in the CPRI data streams after summation, and determining a reference value and a detected value of the IQ signal so as to determine attenuation values corresponding to fast fading and slow amplification of the IQ signal; generating a gain table corresponding to CPRI data according to carrier mapping information of the system and the attenuation values; and shifting the IQ signal in the CPRI data streams according to the gain table, and truncating the shifted IQ signal with a preconfigured bit width.

Abstract: A carrier configuration method and system for a distributed antenna system, a processing device, and a chip are provided. The distributed antenna system includes at least one access unit and at least one remote unit. The method includes: acquiring a configuration parameter of a carrier to be transmitted of at least one access unit, the configuration parameter including a mapping relationship between the at least one access unit and the at least one remote unit; and establishing a transmission channel between the at least one access unit and the at least one remote unit according to the mapping relationship.

Abstract: The present disclosure relates to a method, device, and apparatus for time division duplex synchronization for a distributed antenna system, and a medium. The method comprises: decoding a SS/PBCH block from a time division duplex cell, and obtaining an index of the SS/PBCH block; determining, according to the index of the SS/PBCH block, a starting position of a radio frame in which the SS/PBCH block is located; and performing time division duplex synchronization according to the starting position of the radio frame and a preset uplink and downlink configuration of the radio frame.

Abstract: The present disclosure provides a method of training an information generation model, a method of generating an information, an electronic device, and a storage medium. A specific implementation solution of the method of training the information generation model includes: splitting a description information for a target object in an information pair into at least one description word, so as to obtain a description word sequence, wherein the information pair further includes a first recommendation information; inputting the description word sequence into a dialog generation model to obtain a probability vector sequence for the target object, wherein each probability vector in the probability vector sequence includes probability values for a plurality of predetermined words; and training the dialog generation model according to the probability vector sequence and the first recommendation information, so as to obtain the information generation model.

Abstract: The present disclosure relates to a method, device, and apparatus for time division duplex synchronization for a distributed antenna system, and a medium. The method comprises: decoding a SS/PBCH block from a time division duplex cell, and obtaining an index of the SS/PBCH block; determining, according to the index of the SS/PBCH block, a starting position of a radio frame in which the SS/PBCH block is located; and performing time division duplex synchronization according to the starting position of the radio frame and a preset uplink and downlink configuration of the radio frame.

Abstract: The present application relates to a system and a method for reducing a signal peak-to-average ratio, and a computer-readable storage medium. Before the peaks in the IQ signal are scaled, a scaling effect of peak points scaling on subsequent peak points is estimated and windowing intensities of subsequent peak points are modified. It solves a problem that generated correction coefficients superimpose on top of each other leading to excessive peak shaving. In addition, the above method does not need a lot of multipliers and is easy to be implemented.

Abstract: The present disclosure provides a method and an apparatus for analyzing an intention based on artificial intelligence. The method includes: receiving a query; acquiring a keyword of an intention of the query according to a preset strategy; acquiring a qualifier of the intention of the query according to the keyword based on a syntax tree; and determining the intention of the query according to the keyword and the qualifier.

Abstract: The present disclosure relates to an uplink summation method and device, and a distributed antenna system. The method comprises: acquiring uplink CPRI data streams of a channel of an AU or an EU in a system, performing bit width extension on the CPRI data streams, and performing full precision summation; extracting an orthogonal IQ signal in the CPRI data streams after summation, and determining a reference value and a detected value of the IQ signal so as to determine attenuation values corresponding to fast fading and slow amplification of the IQ signal; generating a gain table corresponding to CPRI data according to carrier mapping information of the system and the attenuation values; and shifting the IQ signal in the CPRI data streams according to the gain table, and truncating the shifted IQ signal with a preconfigured bit width.

Abstract: A method for information processing in a user conversation, an electronic device and a storage medium thereof, which relate to the field of artificial intelligence and the natural language processing field, are disclosed. The method may include: acquiring conversation preceding information in a conversation between a first user and a second user; acquiring a target conversation strategy employed by the first user; generating initial reply content with a pre-trained response generating model according to the target conversation strategy and the conversation preceding information; and sending the initial reply content to a client of the first user, so as to display the initial reply content on a conversation interface of the first user with the second user.

Abstract: A method and apparatus for human-machine interaction, a device, and a medium are provided. A specific implementation solution is: generating reply text of a reply to a received speech signal based on the speech signal; generating a reply speech signal corresponding to the reply text based on a mapping relationship between a speech signal unit and a text unit, the reply text including a group of text units; determining an identifier of an expression and/or action based on the reply text, the expression and/or action being presented by a virtual object; and generating an output video including the virtual object based on the reply speech signal and the identifier of the expression and/or action, the output video including a lip shape sequence determined based on the reply speech signal and to be presented by the virtual object.

Abstract: The present disclosure provides a method for compensating gain flatness of a transceiver including: a method for compensating gain flatness of a receiver, which compensates gain flatness of a receiving channel by using a complex-coefficient FIR filter in digital domain; and a method for compensating gain flatness of a transmitter, which compensates gain flatness of a transmitting channel by using a complex-coefficient FIR filter in digital domain. The method according to the present disclosure can balance compensation accuracy and calculation amount flexibly, and can focus on compensating the gain flatness at an edge of a frequency band, obtaining good performance with less calculation amount.

Abstract: The present disclosure provides a method for compensating gain flatness of a transceiver including: a method for compensating gain flatness of a receiver, which compensates gain flatness of a receiving channel by using a complex-coefficient FIR filter in digital domain; and a method for compensating gain flatness of a transmitter, which compensates gain flatness of a transmitting channel by using a complex-coefficient FIR filter in digital domain. The method according to the present disclosure can balance compensation accuracy and calculation amount flexibly, and can focus on compensating the gain flatness at an edge of a frequency band, obtaining good performance with less calculation amount.

Abstract: The present disclosure provides a method and an apparatus for analyzing an intention based on artificial intelligence. The method includes: receiving a query; acquiring a keyword of an intention of the query according to a preset strategy; acquiring a qualifier of the intention of the query according to the keyword based on a syntax tree; and determining the intention of the query according to the keyword and the qualifier.