Abstract: Video analysis by receiving video data associated with a multi-participant meeting, identifying a first participant viewpoint, a related argument and an authority level of a viewpoint-argument, from the video data using a machine learning model, identifying a first topic within the video data, correlating the first participant viewpoint to the first topic, determining a distance between the first participant viewpoint and a second participant viewpoint, the second participant viewpoint correlated to the first topic, and providing a depiction of a relationship between the first participant viewpoint and the second participant viewpoint according to the distance.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed reality is provided. The present invention may include receiving 3D hand keypoints (keypoints) of a user's visible hand joints from the user's capturable hand, and visible hand joints, if any, from the user's uncapturable hand; using random noise sampled with a unit normal distribution as initial keypoints for the uncapturable hand joints from the user's uncapturable hand; inputting the received and the initial keypoints, in a preset order, into a trained 3D hand joint generative model; performing an iterative refinement of the uncapturable hand joints from the user's uncapturable hand using the trained 3D hand joint generative model; identifying whether generated keypoints of the user's uncapturable hand are synchronized with the keypoints of the user's capturable hand; and rendering the generated 3D keypoints for the user's uncapturable hand joints using a 3D virtual hand modeler.

Abstract: A method, computer system, and a computer program product are provided for training a neural network for finding queried videos. Two pairs of video clips and associated text are obtained from a first dataset and a second dataset. The first dataset is used to train two video encoders by providing the video clips to the encoders as input and providing the outputs to a cosine similarity calculator. The second dataset is used to train a multi-mentor paradigm with two mentors. A first mentor and a second mentor are each provided the pair of textual data inputs. The first mentor provides a similarity value comparison, and the second mentor provides a word mover distance. Using the output from the multi-mentor paradigm and the encoders, a contrastive loss is calculated and used to provide contrastive learning of video features by differentiating similarity and dissimilarity of the video clips.

Abstract: A present invention embodiment analyzes documents. A first document is received comprising a plurality of sentences that each include one or more words. A matrix is populated with the plurality of sentences, wherein each of the one or more words of each sentence in the matrix is encoded as a numerical value. The matrix is processed using a machine learning model to generate a first feature map. The first feature map is compared to a second feature map of a corresponding second document to identify a shared document element between the first document and the second document based on a common feature in the first feature map and the second feature map. The shared document element is indicated via a user interface.

Abstract: A method for signal optimization between a user equipment and a reconfigurable intelligence surface includes a phase optimization step having: generating at least one modified phase combination in the state that a performance index of a current phase combination is smaller than a preset performance threshold value; evaluating whether a corresponding performance index of the modified phase combination is not smaller than the preset performance threshold value or evaluating whether the performance index of the modified phase combination is larger than the corresponding performance index of the current phase combination, to determine an optimized phase combination, enabling a corresponding performance index to be not smaller than the preset performance threshold value or not smaller than the performance index of any modified phase combination in the phase optimization step; and replacing the current phase combination by the optimized phase combination to form an updated current phase combination.

Abstract: A machine learning (ML) computer model is trained on a dual-modal input sequence comprising target content data and an input user query specifying attributes for locating a portion within the target content data. The ML computer model is trained to process the dual-modal input sequence and output an output text specifying start and end indices, within the target content data, corresponding to the portion. Runtime content data, and a user spoken query, are received and the runtime content data and user spoken query are processed via the trained ML computer model to generate an output text specifying a predicted beginning index and predicted ending index within the runtime content data. The portion of the runtime content data corresponding to a range of runtime content data bounded by the beginning index and ending index, inclusively, is retrieved and stored for later retrieval and processing.

Abstract: Embodiments of the present disclosure provide enhanced system and methods for implementing generative converting 3D face landmarks. An enhanced disclosed system and non-limiting method effectively renders a third 3D face model of a first user that enables a second user to easily recognize the first user, where the second user is only familiar with a first face model that is significantly changed in a second face model of the first user in a current interaction of the first user and second user. This method effectively renders the third 3D face model of the first user that can gradually change from the first face model to the second face model, and can be easily recognized by the second user.

Abstract: Aspects of the invention include techniques for intimacy-based masking of three dimensional (3D) face landmarks within a metaverse. A non-limiting example method includes determining a degree of intimacy R between a first user and a second user responsive to a first avatar of the first user being observed by a second avatar of the second user in a virtual environment. An initial set of M landmarks of a feature of the first avatar is determined and N landmarks are randomly selected from M for masking. The N landmarks are replaced with random noise sampled with a unit normal distribution to define a set of noised landmarks X that are then iteratively denoised to define a set of denoised landmarks D. A masked version of the first avatar is presented to the second user by modifying the feature of the first avatar with the set of denoised landmarks D.

Abstract: The present application discloses a cell structure of a super flash comprising: a word line gate, a floating gate, a control gate, and an erase gate. The floating gate comprises a first TiN layer located on a side face of the control gate and a second polysilicon layer formed at the top of the first TiN layer. The second polysilicon layer is in electric contact with the first TiN layer. The erase gate is located at the top of the second polysilicon layer, and the erase gate and the floating gate are spaced from each other by a second inter-gate dielectric layer therebetween. During erasing, the top angle of the second polysilicon layer generates point discharge, thereby reducing an erasing voltage. The present application also discloses a method for manufacturing a super flash.

Abstract: Some implementations are directed to adapting a client application on a feature phone based on experiment parameters. Some of those implementations are directed to adapting an assistant client application, where the assistant client application interacts with remote assistant component(s) to provide automated assistant functionalities via the assistant client application of the feature phone. Some implementations are additionally or alternatively directed to determining whether an invocation, of an assistant client application on a feature phone, is a request for transcription of voice data received in conjunction with the invocation, or is instead a request for an assistant response that is responsive to the transcription of the voice data (e.g., includes assistant content that is based on and in addition to the transcription, and that optionally lacks the transcription itself).

Abstract: The disclosure discloses a swirler-type gas-liquid two-phase flow metering device, mainly including a swirler, a capacitance probe module, a hot-wire probe module, a hub and a data acquisition computer. A flow measurement method using the gas-liquid two-phase flow metering device includes: adjusting, by the swirler, flow patterns of an incoming gas-liquid two-phase flow into a uniform annular flow, measuring gas and liquid phase distribution by the capacitance probe module, and measuring gas and liquid phase flow velocity distribution by the hot-wire probe, and volumetric flow rates of gas, thereby obtaining liquid phases according to flow areas and average flow velocities of the gas and liquid phases. Compared with the existing multiphase flowmeter, the gas-liquid two-phase flow metering device of the disclosure has the advantages of small size, compact structure, small resistance loss, wide measurement range, high measurement accuracy, etc.

Abstract: Embodiments relate to decoding communications with token sky maps. At least one electronic communication including emoticons having a non-original meaning is received. A candidate meaning is determined for the emoticons having the non-original meaning in the at least one electronic communication based at least in part on token neighborhood distribution structures. The candidate meaning for the emoticons having the non-original meaning is caused to be displayed on at least one device.

Abstract: A method, computer system, and a computer program product for syllable-based pronunciation help are provided. An input text in a first language may be received. A selection of a target language that is different from the first language may be received. From the target language, syllables with a pronunciation most closely matching a pronunciation of the input text in the first language are obtained. The obtaining is based on a comparison of one or more spectrograms for the input text with one or more spectrograms for text of the target language. The obtained syllables in the target language are presented.

Abstract: Some implementations are directed to adapting a client application on a feature phone based on experiment parameters. Some of those implementations are directed to adapting an assistant client application, where the assistant client application interacts with remote assistant component(s) to provide automated assistant functionalities via the assistant client application of the feature phone. Some implementations are additionally or alternatively directed to determining whether an invocation, of an assistant client application on a feature phone, is a request for transcription of voice data received in conjunction with the invocation, or is instead a request for an assistant response that is responsive to the transcription of the voice data (e.g., includes assistant content that is based on and in addition to the transcription, and that optionally lacks the transcription itself).

Abstract: The present application discloses a low voltage triggering silicon controlled rectifier which includes: an N well and a P well forming a PN junction, a first P+ region formed in the N well and connected to an anode, and a first N+ region formed in the P well and connected to a cathode. A second P+ region is formed in the N well at the PN junction and diffuses into the P well. A second N+ region is formed in the P well at the PN junction and diffuses into the N well. A first gate structure connected to the anode is formed at the surface of the N well between the first and second P+ regions; and a second gate structure connected to the cathode is formed at the surface of the P well between the first and second N+ regions.

Abstract: Embodiments of the present disclosure provide an operation and maintenance system and method. The operation and maintenance system comprises a plurality of interconnected modules including: a data acquisition module, a data storage module, an exception and fault labeling module, an automatic model training and assessment module, an operation and maintenance management and task execution module, and a result checking module.

Abstract: At least one computer processor can replace visual words of an unsupervised machine learning classification model with visual objects of an image. At least two co-occurring single visual objects adjacent to each other in pixels of the image can be combined to obtain a compound visual object. The unsupervised machine learning classification model can be augmented to model the image as a mixture of subjects, where each subject is represented through placements of the visual objects in a mixture of concentric spheres centering on a mixture of intersections on a mixture of horizontal layers. At least one processor can learn latent relationships between the placements of the visual objects in a three-dimensional space depicted in the image and image semantics. Learning the latent relationships trains the unsupervised machine learning classification model to perform image subject classification through the placements of the visual objects in a new image.

Abstract: The freshness of one or more terms in a documentation, indicative of a currency of the one or more terms is computed. Each term includes one or more constituent words, and the terms are visually marked as current or out-of-date based on the computed freshness. Upon marking a term as out-of-date, a latest term for the out-of-date term is retrieved or a most possible latest term for the out-of-date term is predicted.

Abstract: Some implementations are directed to adapting a client application on a feature phone based on experiment parameters. Some of those implementations are directed to adapting an assistant client application, where the assistant client application interacts with remote assistant component(s) to provide automated assistant functionalities via the assistant client application of the feature phone. Some implementations are additionally or alternatively directed to determining whether an invocation, of an assistant client application on a feature phone, is a request for transcription of voice data received in conjunction with the invocation, or is instead a request for an assistant response that is responsive to the transcription of the voice data (e.g., includes assistant content that is based on and in addition to the transcription, and that optionally lacks the transcription itself).

Abstract: Pharmaceutical compositions comprising a RelA enzyme inhibitor and a bactericidal antibiotic, wherein said RelA enzyme inhibitor binds to the RelA enzyme in bacteria to reduce biofilm formation and to degrade biofilms that have been formed. The pharmaceutical compositions can be used to treat bacterial biofilm diseases.