Emc IP Holding Company LLC

Dell Products Inc.

Carrier Corporation

Emc IP Holdinq Company LLC

Otis Elevator Company

Danqing Sha

Zhen Jia

Bin He

Amy N Seibel

Eric Joseph Bruno

Anzhou Hou

Jinpeng Liu

Jiacheng Ni

Xuwei Tang

Zijia Wang

Qiang Chen

Kenneth Durazzo

Michael J Birnkrant

Timothy C Wagner

Jinlei Ding

Zhengang Zhu

Guichun Zhou

Jing Yu

Victor Fong

Si Ruo Chen

Zhenzhen Lin

Yun Gang Li

Jin Li

Hayden M Reeve

Pedro Fernandez Orellana

Min Chao Zhao

Ke Yang

Keyu Li

Jiayang Xu

Jing Long Zhang

Buyun Jing

Murilo Bonilha

Benliang Li

Ellen Sun

Yi Lin Chen

One example method includes generating sound information regarding sound sources in an environment. The sound information is generated by separating and localizing the sound sources. The sound information is then presented as guidance to a user. The guidance may be presented graphically in a user interface, haptically, or in another manner.

Visual guidance of audio direction

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for training a model. The method may include determining image features, audio features, and text features of a reference object based on reference image information, reference audio information, and reference text information associated with the reference object, respectively. The method may also include constructing a feature tensor from the image features, the audio features, and the text features. In addition, the method may further include decomposing the feature tensor into a first feature vector, a second feature vector, and a third feature vector corresponding to the image features, the audio features, and the text features, respectively, to determine a loss function value of the model. The method may also include updating parameters of the model based on the loss function value.

Method, electronic device, and computer program product for training model

Techniques are provided that employ haptic feedback to influence an engagement level of a remote user. One method comprises obtaining sensor data associated with a remote user interacting with educational content items; applying the sensor data to an analytics engine to obtain an engagement status indicating an engagement level of the remote user with the educational content items; and automatically initiating a provision of a haptic feedback signal to the remote user based on the engagement status. The engagement status may comprise an engagement score, and the haptic feedback signal may be sent to the remote user based on an evaluation of the engagement score relative to one or more threshold-based criteria. A type and/or an intensity of the haptic feedback signal can be based on one or more user preferences of the remote user.

Haptic feedback for influencing user engagement level with remote educational content

Methods, apparatus, and processor-readable storage media for artificial intelligence-driven avatar-based personalized learning techniques are provided herein. An example computer-implemented method includes obtaining multiple forms of input data from user devices associated with a user in a virtual learning environment; determining status information for user variables by processing at least a portion of the multiple forms of input data using a first set of artificial intelligence techniques; determining instruction-related modifications for the user by processing, using a second set of artificial intelligence techniques, at least a portion of the multiple forms of input data and at least a portion of the determined status information; implementing, based on the determined instruction-related modifications, modifications to an instructor avatar with respect to the user in the virtual learning environment; and performing one or more automated actions based on user response to the implemented modifications to the instructor avatar.

Artificial intelligence-driven avatar-based personalized learning techniques

One example method includes performing sound quality operations. Microphone arrays are used to cancel background noise and to enhance speech. With arrays at each environment of each user participating in a call, a first microphone array can cancel or suppress background noise and a second array can generate enhanced speech for transmission to other users. Thus, for user, the audio signal output by the user's device includes an anti-noise signal to cancel background noise present in the user's environment and enhanced speech from other users.

Adaptive noise suppression for virtual meeting/remote education

Embodiments of the present disclosure relate to a method, a device, and a computer program product for user behavior prediction. In some embodiments, at a client, a first user behavior embedding engine in the client generates behavior prediction information of a target user based on feature information of the target user. The client sends the behavior prediction information of the target user to a server, and receives information about a target item recommended for the target user from the server. Such method enables user privacy-related information to be processed only locally, thereby not only ensuring user privacy and security, but also significantly reducing overall resource overhead.

Method, device, and computer program product for user behavior prediction

An apparatus comprises at least one processing device configured to establish, utilizing a communication network, a remote collaboration session between first and second computing devices associated with first and second users, and to determine data to be exchanged between the first and second computing devices as part of the remote collaboration session. The first and second computing devices each comprise at least one of an augmented reality and a virtual reality computing device. The processing device is also configured to generate different logical network slices of the communication network, each logical network slice having a set of network characteristics associated with at least one type of the data to be exchanged between the first and second computing devices as part of the remote collaboration session. The processing device is further configured to communicate the different types of data between the first and second computing devices utilizing the logical network slices.

Remote collaboration between users utilizing at least one of augmented reality and virtual reality computing devices

Techniques are provided for machine learning-based educational content adaptation based on user personal characteristics. One method comprises obtaining personal characteristics of at least one user; applying the personal characteristics of the at least one user to at least one machine learning model to automatically adapt at least one educational content item for the at least one user using one or more of the applied personal characteristics of the at least one user; and initiating a provision of the at least one automatically adapted educational content item to the at least one user. Technology-related characteristics of the at least one user may also be applied to the at least one machine learning model to further adapt the at least one educational content item for the at least one user using the applied technology-related characteristics.

Machine learning-based educational content adaptation based on user personal characteristics

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing data. The method includes determining encoded data for a target object by performing hybrid encoding on multiple types of data for the target object, the multiple types of data including image data of the target object. The method further includes determining, by transforming the encoded data, an invariant portion for a shape of the target object and a variable portion for an expression of the target object. The method improves data processing efficiency, saves time and computing resources, and reduces the amount of data transmission.

Method, electronic device, and computer program product for processing data

A method includes determining a first instance of a current version for a machine learning model and a second instance of an upgraded version for the machine learning model, the first instance executing a service for processing data; adjusting respectively, if it is determined that the service is to be migrated from the first instance to the second instance, a first allocation policy for storage space of the first instance and a second allocation policy for storage space of the second instance to a first target policy and a second target policy, wherein the first target policy is used to phase out storage space and the second target policy is used to phase in storage space; reclaiming allocated storage space for the first instance based on the first target policy; and allocating required storage space for the second instance based on the second target policy to realize migration of the service.

Method, device, and computer program product for managing machine learning model

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data processing. The method for data processing includes: generating, based on a category of a target data content segment, a target tag for the target data content segment; acquiring a reference tag set, a reference tag in the reference tag set being generated based on a category of a historical data content segment; and determining redundancy of the target data content segment based on comparison between the target tag and the reference tag set. In this way, the distribution of a large amount of redundant data from an edge server to a terminal device can be avoided, thereby saving bandwidth, improving delay, and further providing a better user experience for AR/VR content experience.

Method, electronic device, and computer program product for data processing

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating an avatar. The method includes generating an indication of correlation among image information, audio information, and text information of a video. The method may further include generating, based on the indication of the correlation, a first feature set and a second feature set representing features of a target object in the video, wherein the first feature set represents invariant features of the target object in the video, and the second feature set represents equivariant features of the target object in the video. The method may further include generating the avatar based on the first feature set and the second feature set. With this method, the generated avatar can be made more accurate and vivid with a better effect, while also reducing data annotation cost, improving operation efficiency, and enhancing user experience.

Method, electronic device, and computer program product for generating avatar

The present disclosure relates to a method, an electronic device, and a computer program product for monitoring a field device. For example, a method for monitoring a field device is provided. The method may include receiving facility information data associated with locations of a group of field devices and a sensing data set acquired by a sensing apparatus arranged near the group of field devices. The method may further include determining, according to a determination that sensing data associated with at least one field device in the group of field devices in the sensing data set is abnormal, a target location of the at least one field device based on the facility information data. In addition, the method may further include generating navigation information from a source location where a user is located to the target location.

Method, electronic device, and computer program product for monitoring field device

Embodiments of the present disclosure provide a data protection method, an electronic device, and a computer program product. The method includes determining an object feature for each protection object in a set of protection objects that generate protected data, the set of protection objects including at least one protection object configured with a predetermined data protection strategy. The method further includes determining a set of candidate objects belonging to the same class as the at least one protection object from the set of protection objects according to the determined object features. The method further includes configuring the predetermined data protection strategy to at least one candidate object in the set of candidate objects.

Data protection method, electronic device and computer program product

One example includes a digital twin of a microphone array. The digital twin acts as a digital copy of a physical microphone array. The digital array allows the microphone array to be analyzed, simulated and optimized. Further, the microphone array can be optimized for performing sound quality operations such as noise suppression and speech intelligibility.

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Shanghai, China

Danqing Sha