Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: An acoustic transmission enhancer that includes a resonance-based metamaterial and a material connected to the metamaterial, wherein the metamaterial and the material are arranged such that acoustic waves pass through the metamaterial and the material in the acoustic transmission enhancer. An acoustic transmission enhancement system that includes: a material in a medium; a resonance-based metamaterial on the material; and a transducer that emits acoustic waves to the material and the metamaterial through the medium, wherein a straight line along a direction in which the transducer emits the acoustic waves intersects the metamaterial and the material.

Abstract: Disclosed are systems and methods that automate the process of measuring interactive content data polarity. The system records interactive communications and stores the interactive communications as interactive content files. Natural language processing technology is used to determine a polarity score for each interactive content data file, and the polarity score is converted to a polarity identification. The system determines a net polarity using the proportion of interactive content files having various polarity identifications. The system also classifies the interactive content files according to polarity using a branched decision network. The system sets an overall net polarity using the polarity identification and polarity classification. The overall net polarity is tracked and displayed as a function of content metadata and sequencing data.

Abstract: Disclosed are systems and methods that automate the process of measuring interactive content data polarity. The system records interactive communications and stores the interactive communications as interactive content files. Natural language processing technology is used to determine a polarity score for each interactive content data file, and the polarity score is converted to a polarity identification. The system determines a net polarity using the proportion of interactive content files having various polarity identifications. The system also classifies the interactive content files according to polarity using a branched decision network. The system sets an overall net polarity using the polarity identification and polarity classification. The overall net polarity is tracked and displayed as a function of content metadata and sequencing data.

Abstract: A power tool includes a tool body, an electric motor disposed in the tool body, and a battery interface configured to be connected to a battery pack for supplying power to the electric motor. The battery pack includes a housing; and a cell module disposed in the housing. The cell module includes multiple cells; a cell holder configured to support the multiple cells; and a circuit board electrically connected to at least the multiple cells. The battery pack further includes a terminal assembly electrically connected to at least the circuit board or the multiple cells and connecting the cell module to the battery interface for electric power transmission; and a silicone immersion coating applied to at least the cell module.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology. The interactive content data is converted to machine encoded communication elements that can be further grouped into machined encoded n-grams. The co-occurrence of machine encoded communication elements or n-grams in the interactive content data is compared against communication elements or n-grams in a seed set of concentrated content files to determine an equivalence value. In this manner, the system can automate the process of determining the equivalence of interactive content data files.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: This application provides a video encoding/decoding method, a corresponding video encoding/decoding apparatus. The video encoding method includes: obtaining a to-be-encoded video; encoding the to-be-encoded video to obtain a first bitstream and a second bitstream before outputting the first and second bitstreams. The first bitstream is obtained by performing frame skipping and encoding on the to-be-encoded video, and the second bitstream is obtained by encoding video frames in a second frame sequence by using video frames in a first frame sequence as key frames. The first frame sequence includes video frames obtained by downsampling video frames in the to-be-encoded video that are encoded into the first bitstream, and the second frame sequence includes video frames obtained by downsampling video frames in the to-be-encoded video that are not encoded into the first bitstream. The technical solutions provided in this application help improve video image prediction accuracy.

Abstract: A data processing method includes obtaining first frame data, where the first frame data is one frame in raw data collected by an image sensor; obtaining data corresponding to a compact box, to obtain first data, where coverage of the compact box in the first frame data includes a target object detected from the first frame data; obtaining data corresponding to a loose box, to obtain second data, where coverage of the loose box in the first frame data includes and is larger than the coverage of the compact box in the first frame data; and using the first data and the second data as inputs of a target network, to obtain an output image, where the target network is used to extract information about a plurality of channels in the input data, and obtain the output image based on the information about the channels.

Abstract: A sound absorbing panel includes a cavity section having a plurality of resonant cavities and a front panel having a plurality of sets of openings. Each set of openings is configured to provide fluid communication between one of the plurality of resonant cavities and the environment. Each of the plurality of resonant cavities has different dimensions from the remaining plurality of resonant cavities such that each of the resonant cavities is tuned for a different frequency range. Each of the sets of openings can differ from the remaining sets of openings in opening size, length, and distance between openings.

Abstract: A power tool includes a tool body, an electric motor disposed in the tool body, and a battery interface configured to be connected to a battery pack for supplying power to the electric motor. The battery pack includes a housing; and a cell module disposed in the housing. The cell module includes multiple cells; a cell holder configured to support the multiple cells; and a circuit board electrically connected to at least the multiple cells. The battery pack further includes a terminal assembly electrically connected to at least the circuit board or the multiple cells and connecting the cell module to the battery interface for electric power transmission; and a silicone immersion coating applied to at least the cell module.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology. The interactive content data is converted to machine encoded communication elements that can be further grouped into machined encoded n-grams. The co-occurrence of machine encoded communication elements or n-grams in the interactive content data is compared against communication elements or n-grams in a seed set of concentrated content files to determine an equivalence value. In this manner, the system can automate the process of determining the equivalence of interactive content data files.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: An acoustic transmission enhancer that includes a resonance-based metamaterial. An acoustic transmission enhancement system that includes: a material in a medium; a resonance-based metamaterial on the material; and a transducer that emits acoustic waves to the material and the metamaterial through the medium.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology. The interactive content data is converted to machine encoded communication elements that can be further grouped into machined encoded n-grams. The co-occurrence of machine encoded communication elements or n-grams in the interactive content data is compared against communication elements or n-grams in a seed set of concentrated content files to determine an equivalence value. In this manner, the system can automate the process of determining the equivalence of interactive content data files.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

Abstract: Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.