Abstract: Methods and systems for team cooperation with real-time recording of one or more moment-associating elements. For example, a method includes: delivering, in response to an instruction, an invitation to each member of one or more members associated with a workspace; granting, in response to acceptance of the invitation by one or more subscribers of the one or more members, subscription permission to the one or more subscribers; receiving the one or more moment-associating elements; transforming the one or more moment-associating elements into one or more pieces of moment-associating information; and transmitting at least one piece of the one or more pieces of moment-associating information to the one or more subscribers.

Abstract: A system, neural network, and corresponding method generate 3D landmarks associated with an object in a 2D image. An embodiment is a system comprising a neural network detector configured to produce planar coordinates of landmarks at points of the object in the 2D image and a depth coordinate estimator. The planar coordinates include planar coordinate pairs. The depth coordinate estimator is configured to receive the 2D image and the planar coordinates and to estimate a depth coordinate for each planar coordinate pair of each landmark to generate the 3D landmarks. The system reduces network parameters from MB to KB and has better performance relative to state-of-the-art methods. The system may be configured to apply the 3D landmarks for face alignment, virtual face makeup, face recognition, eye gaze tracking, face synthesis, or other face related application.

Abstract: A computer-based system and corresponding computer-implemented method for validating a black-box model are provided. An initial question is transformed into at least one additional question by rephrasing the initial question based on an initial answer from the black-box model to the initial question. A consistency metric is produced based on consistency of the initial answer and respective additional answers received from the black-box model in response to the at least one additional question. The black-box model is validated based on the consistency metric produced.

Abstract: Embodiments of the present disclosure may include a method for providing an encounter via a virtual assistant with artificial intelligence, the method including detecting, by one or more processors, an encounter request from a user.

Abstract: Embodiments of the present disclosure may include a system providing visual assistants with artificial intelligence, including an artificial intelligence large language model engine (LLM)coupled to a computer system.

Abstract: This disclosure relates to the technical field of exploration geophysics, in particular to a method, a device, and a computer device for decoupling anisotropic elastic wave. The method includes: determining a set of Thomsen parameters included in an anisotropic model based on a received to-be-decomposed wave field decomposition request; transforming the set of Thomsen parameters to obtain a set of initial elastic parameters; performing S-wave and P-wave velocities separation processing for the set of initial elastic parameters to obtain a set of target P-wave elastic parameters and a set of target S-wave elastic parameters; and substituting those into the anisotropic model to process the to-be-decomposed wave field and obtain a target P-wave matrix and a target S-wave matrix. The process of decomposing S-wave and P-wave fields is simplified and the calculation cost is reduced according to the embodiments of this disclosure.

Abstract: A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.

Abstract: The embodiment of the disclosure relates to an elastic wave stress tensor double-dot product seismic imaging method and device. The method comprises: obtaining a decoupled particle vibration velocity vector wave field by utilizing the existing decoupled wave equation method for the detected wave field; then obtaining a decoupled pseudo-stress wave field by constructing the decoupled pseudo-stress equation by using the obtained decoupled particle vibration velocity vector wave field; and finally computing a source second-order stress tensor wave field and the decoupled detected second-order stress tensor wave field by using the double-dot product cross-correlation imaging condition algorithm, to obtain the final scalar imaging results. With the embodiment of the present disclosure, the combined P-wave and S-wave stress exploration can be realized, therefore, the obtained imaging results can be used to accurately predict the risk of gas exploration.

Abstract: A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.

Abstract: A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.

Abstract: This disclosure relates to the technical field of exploration geophysics, in particular to a method, a device, and a computer device for decoupling anisotropic elastic wave. The method includes: determining a set of Thomsen parameters included in an anisotropic model based on a received to-be-decomposed wave field decomposition request; transforming the set of Thomsen parameters to obtain a set of initial elastic parameters; performing S-wave and P-wave velocities separation processing for the set of initial elastic parameters to obtain a set of target P-wave elastic parameters and a set of target S-wave elastic parameters; and substituting those into the anisotropic model to process the to-be-decomposed wave field and obtain a target P-wave matrix and a target S-wave matrix. The process of decomposing S-wave and P-wave fields is simplified and the calculation cost is reduced according to the embodiments of this disclosure.

Abstract: This disclosure relates to the technical field of exploration geophysics, in particular to a method, a device, and a computer device for decoupling anisotropic elastic wave. The method includes: determining a set of Thomsen parameters included in an anisotropic model based on a received to-be-decomposed wave field decomposition request; transforming the set of Thomsen parameters to obtain a set of initial elastic parameters; performing S-wave and P-wave velocities separation processing for the set of initial elastic parameters to obtain a set of target P-wave elastic parameters and a set of target S-wave elastic parameters; and substituting those into the anisotropic model to process the to-be-decomposed wave field and obtain a target P-wave matrix and a target S-wave matrix. The process of decomposing S-wave and P-wave fields is simplified and the calculation cost is reduced according to the embodiments of this disclosure.

Abstract: Computer-implemented method and system for receiving and processing one or more moment-associating elements. For example, the computer-implemented method includes receiving the one or more moment-associating elements, transforming the one or more moment-associating elements into one or more pieces of moment-associating information, and transmitting at least one piece of the one or more pieces of moment-associating information.

Abstract: Computer-implemented method and system for receiving and processing one or more moment-associating elements. For example, the computer-implemented method includes receiving the one or more moment-associating elements, transforming the one or more moment-associating elements into one or more pieces of moment-associating information, and transmitting at least one piece of the one or more pieces of moment-associating information.

Abstract: A mesoporous silica nanoparticle controlled release system, a preparation method thereof and an application thereof, and specifically provides a mesoporous silica nanomaterial that can be used for controlled release is disclosed. The mesoporous silica nanomaterial that can be used for controlled release comprises a mesoporous silica nanoparticle functionalized by means of a polyhydroxy compound and a nanoparticle plugging agent functionalized by means of a phenylboronic acid compound. When substrate concentration is relatively low, the nanomaterial achieves “zero early release”; when substrate concentration is relatively high, mesoporous pores blocked by the plugging agent are opened and active ingredients are released. The nanomaterial can be loaded into microneedles and microneedle array patches used to treat diabetes or to control blood sugar levels in patients.

Abstract: Method, system, device, and non-transitory computer-readable medium for joining a virtual participant in a conversation. In some examples, a computer-implemented method includes: identifying a first conversation scheduled to be participated by a first group of actual participants; joining a first virtual participant into the first conversation; obtaining, via the first virtual participant, a first set of audio data associated with the first conversation while the first conversation occurs; transcribing, via the first virtual participant, the first set of audio data into a first set of text data while the first conversation occurs; and presenting the first set of text data to the first group of actual participants while the first conversation occurs.

Abstract: System and method for processing and presenting a conversation. For example, a system includes a sensor configured to capture an audio-form conversation, and a processor configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, and the synchronized text is synchronized with the audio-form conversation. Additionally, the system includes a presenter configured to present the transformed conversation including the synchronized text and the audio-form conversation.

Abstract: Method, system, device, and non-transitory computer-readable medium for joining a virtual participant in a conversation. In some examples, a computer-implemented method includes: identifying a first conversation scheduled to be participated by a first group of actual participants; joining a first virtual participant into the first conversation; obtaining, via the first virtual participant, a first set of audio data associated with the first conversation while the first conversation occurs; transcribing, via the first virtual participant, the first set of audio data into a first set of text data while the first conversation occurs; and presenting the first set of text data to the first group of actual participants while the first conversation occurs.

Abstract: System and method for processing and presenting a conversation. For example, a system includes a sensor configured to capture an audio-form conversation, and a processor configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, and the synchronized text is synchronized with the audio-form conversation. Additionally, the system includes a presenter configured to present the transformed conversation including the synchronized text and the audio-form conversation.

Abstract: A system and corresponding method perform image super-resolution (SR). The system comprises an element-unshuffled downsampler and an image SR module. The image SR module performs image SR on a low-resolution (LR) representation of a high-resolution (HR) original image. The HR original image is at a higher resolution relative to a resolution of the LR representation. The image SR module produces a reconstructed version of the HR original image via the image SR performed. The image SR is based on element-unshuffled downsampling of the LR representation. The element-unshuffled downsampler performs the element-unshuffled downsampling. The image SR module outputs the reconstructed version produced. The system performs the image SR with fewer parameters and less computation cost relative to conventional image SR.