Abstract: Analyzing the complexity of an object of a scene in a media steam (or media data) performed by at least one processor, is provided, including receiving immersive media data comprising a plurality of scenes from a content source; obtaining a respective object of a respective scene in the plurality of scenes, from the immersive media data; analyzing the respective scene to generate complexity information associated with the respective object of the respective scene; generating metadata associated with the respective object of the respective scene, the metadata comprising the complexity information; and determining whether to distribute the respective scene to a client for processing based on the generated metadata.

Abstract: A method and a device for signaling multiple audio mixing gains in a teleconference using Real-time Transport Control Protocol (RTCP) feedback. The method includes receiving an input audio stream from a 360-degree video stream, the input audio stream including mixing gains, declaring an RTCP feedback rate for receiving the mixing gains, based on an allocated bandwidth, and signaling the mixing gains using the declared RTCP feedback rate. The mixing gains may include audio gains from the input audio stream and audio gains from overlay audio streams. The RTCP feedback rate used for signaling the mixing gains may be constant or event-based feedback rate.

Abstract: The disclosed technology relates to a network agent for reporting to a network policy system. A network agent includes an agent enforcer and an agent controller. The agent enforcer is configured to implementing network policies on the system, access data associated with the implementation of the network policies on the system, and transmit, via an interprocess communication, the data to the agent controller. The agent controller is configured to generate a report including the data and transmit the report to a network policy system.

Abstract: User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Abstract: User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Abstract: User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Abstract: Computer software architectures are disclosed that use improved machine learning techniques for computer data security, data science, and data privacy protection. Computer operations are improved by more efficiently and effectively processing relevant data, such as web browsing history data. Web browsing data that are representative of web browsing history based on activity associated with a web browser application determined. Using a base model and based on the web browsing data, federated machine learning applied to past web browsing data representative of past web browsing history associated with other web browser applications other than the web browser application can be used to generate an updated targeted model.

Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

Abstract: User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Abstract: User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Abstract: Techniques are disclosed relating to merge operations for multi-level data structures, such as log-structured merge-trees (LSM trees). A computer system may store, in a database, a plurality of files as part of an LSM tree and a plurality of database key structures. A given one of the plurality of database key structures may indicate, for a corresponding one of the plurality of files, a set of key ranges derived from database records that are included in the corresponding file. The computer system may determine, using ones of the plurality of database key structures, a key range overlap that is indicative of an extent of overlap of key ranges from a set of the plurality of files with respect to a particular key range. Based on the determined key range overlap, the computer system may assign a priority level to a merge operation that involves the set of files.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for speech recognition using attention-based sequence-to-sequence models. In some implementations, audio data indicating acoustic characteristics of an utterance is received. A sequence of feature vectors indicative of the acoustic characteristics of the utterance is generated. The sequence of feature vectors is processed using a speech recognition model that has been trained using a loss function that uses N-best lists of decoded hypotheses, the speech recognition model including an encoder, an attention module, and a decoder. The encoder and decoder each include one or more recurrent neural network layers. A sequence of output vectors representing distributions over a predetermined set of linguistic units is obtained. A transcription for the utterance is obtained based on the sequence of output vectors. Data indicating the transcription of the utterance is provided.

Abstract: Methods, systems and computer program products for user-specific curation of applications from heterogeneous application sources. Multiple components are interconnected to perform user-specific curation operations. The user-specific curation operations comprise accessing application metadata corresponding to a plurality of applications from a plurality of application sources. The application sources may be heterogeneous and may be situated at local sites or at remote sites. A set of rules are applied to the application metadata to determine if one or more applications are authorized for use by a particular user or group. Publication attributes that control accessibility by a particular user or particular group of users are associated with the authorized applications. Based on the publication attributes as they apply to a particular user, one or more curated applications are selected from the authorized applications.

Abstract: The disclosed technology relates to intent driven network management. A system is configured to maintain an inventory store comprising records for a set of network entities in a network, wherein each network entity in the set of network entities is associated with a record in the inventory store. The system receives a user intent statement comprising an action and a flow filter representing network data flows on which the action is to be applied and queries, based on the flow filter, the inventory store to identify a plurality of network entities in the set of network entities to which the user intent statement applies. The system generates a plurality of network policies that implement the user intent statement based on the plurality of network entities and the action and enforces the plurality network policies.

Abstract: Systems and methods include providing functionality for the user device while operating in background on the user device including providing secure connectivity with a cloud-based system over a network; continuously collecting packets intercepted by the enterprise application over a time interval, wherein the collected packets are collected over the time interval; and responsive to an issue with functionality of the enterprise application, transmitting the collected packets to a back end server for troubleshooting of the issue. The time interval is a set amount of time, and each collected packet is deleted at the expiration of the time interval.

Abstract: A system and a method for adjusting brightness of a content are provided. The method includes: receiving a camera feed based on a visible-light; measuring a light sensor value indicating an intensity of the visible-light; detecting a translucent surface over a display screen based on capturing a plurality of visible-light parameters from the camera feed and the light sensor value; predicting a reflectance value of the translucent surface using an artificial neural network model based on the plurality of visible-light parameters and an input brightness level associated with the display screen; determining a proportionality of a change in at least one of a camera feed value and the light sensor value with respect to the input brightness level; verifying the reflectance value through a statistical function based on the determined proportionality; and determining an output brightness level for the display screen based on the reflectance value.

Abstract: In one example, a first tubular member has a first diameter and is configured to attach to a printed circuit board. A second tubular member has a second diameter different from the first diameter and is configured to hold an environmental sensor for collecting data relating to an environment of the printed circuit board. The second tubular member is vertically adjustable relative to the first tubular member.

Abstract: An example device comprises a digital-to-analog converter (DAC) comprising first and second transistors coupled to a first amplifier, the second transistor coupled to a first output of the DAC and to an output of the first amplifier, and third and fourth transistors coupled to the first amplifier and to a second output of the DAC, the third and fourth transistors switchably coupled to a voltage supply and to the first transistor. The device also comprises a first node coupled to the first output of the DAC and to a resistor. The device further includes a second node coupled to the second output of the DAC, and a second amplifier coupled to the second node and to the first transistor and switchably coupled to the third and fourth transistors. The device also comprises a comparator coupled to the first node.

Abstract: Disclosed is an approach for implementing a metadata cache in a virtualization system. A self-adaptive approach is provided to keep compressed and uncompressed entries together in cache. Along with adaptive nature, disclosed is an approach to prioritize critical workloads for the cache.

Abstract: One or more techniques and/or systems are disclosed for a vibration mitigation device. The vibration mitigation device can comprise a shell forming a hollow body that is configured to house a coupled wiring connector and a connector block. The shell can comprise first shell section and second shell section that are operably engaged with each other, and engaged with a vehicle component to which the connector block is engaged. The shape and sizing of the shell and its hollow body allow for a compressive force to be applied to the coupled connectors, to mitigate vibration between the two connectors during use.