Abstract: A device to train a hyperdimensional computing (HDC) model may include memory and processing circuitry to train one or more independent sub models of the HDC model and transmit the one or more independent sub models to another computing device, such as a server. The device may be one of a plurality of devices, such as edge computing devices, edge or Internet of Things (IoT) nodes, or the like. Training of the one or more independent sub models of the HDC model may include transforming one or more training data points to one or more hyperdimensional representations, initializing a prototype using the hyperdimensional representations of the one or more training data points, and iteratively training the initialized prototype.

Abstract: Systems and methods related to redundant battery management systems (BMS) may include an on-battery BMS, and one or more off-battery, off-vehicle, and/or remote BMS. The one or more remote BMS may receive data associated with parameters of a battery, and may process the received data using various models, algorithms, or estimators to determine a battery state. The battery state determined by the remote BMS may then be used to corroborate or support a battery state determined by the on-battery BMS, thereby ensuring safe, reliable, and efficient operations of systems, machines, or devices utilizing batteries as power sources.

Abstract: System and techniques for device-specific connections in an information centric network (ICN) are described herein. A device is detected on a physical interface at an ICN node. A virtual interface is created for the device on the physical interface and the virtual device is added to a forward information base (FIB) entry. Then, when an interest packet with a name that corresponds to the device is received, the interest packet is forwarded to the device through the physical interface using the virtual interface based on the FIB entry.

Abstract: Techniques for non-linear distributed multitask support vector machines are disclosed. In the illustrative embodiment, a coordinator node sends initial parameters (or a random number generator along with model choice) for a global model to participant nodes. Each participant node performs a round of training based on the common global model parameters, the model models, and local data. Each participant node determines updated parameters for the global model and updated parameters for a local model. Each participant node sends an update of the parameters to the global model to the coordinator node, while keeping the parameters of the local model private. The coordinator node aggregates the updates from the participant nodes, updates the global model parameters, and sends them back to the participant nodes. The process can repeat until a desired error level is reached.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes storing translator linguistic resources for a personal account and project linguistic resources for a corporate account. The method includes creating a private profile for the personal account in response to the personal account being added to a team for the corporate account or being assigned to a translation project for the corporate account. A graphical user interface provides access to the translator linguistic resources within the translation project for the private profile without providing access to the translator linguistic resources within the translation project for the corporate account. The graphical user interface provides translation suggestions from the project linguistic resources within the translation project for the private profile without providing full access to the project linguistic resources within the translation project for the private profile.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes storing translator linguistic resources for a personal account and project linguistic resources for a corporate account. The method includes creating a private profile for the personal account in response to the personal account being added to a team for the corporate account or being assigned to a translation project for the corporate account. A graphical user interface provides access to the translator linguistic resources within the translation project for the private profile without providing access to the translator linguistic resources within the translation project for the corporate account. The graphical user interface provides translation suggestions from the project linguistic resources within the translation project for the private profile without providing full access to the project linguistic resources within the translation project for the private profile.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed provide an apparatus comprising a data manager to transmit a first signal to a discovery drone, the first signal to cause the discovery drone to discover user equipment in an environment, the user equipment outside of a first network including a first drone; and collect one or more values corresponding to the user equipment; a utility function determiner to, in response to a trigger event corresponding to the one or more values, determine a first position of the first drone in the environment; and a navigation dispatcher to transmit a second signal to the first drone, the second signal to cause the first drone to regulate the first position to establish one or more connections between the user equipment and the first network.

Abstract: A user equipment (UE) is configured to receive a maximum probability of accessing a wireless local area network (WLAN) for communication. The maximum probability is received via a 3rd Generation Partnership Project (3GPP) communication link with an Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Node B (eNB). The UE is further configured to determine that there is a queued transmission for the UE and, in response to determining that there is a queued transmission, to determine whether the UE is authorized to access to the WLAN using a probability less than or equal to the maximum probability. The UE is further configured to delay contention for access to the WLAN for at least a pre-backoff duration in response to determining that the UE is not authorized.

Abstract: Technology for a user equipment (UE) to communicate in a multiple radio access technology (multi-RAT) heterogeneous network (HetNet) is described. A radio-link-selection hysteresis threshold can be determined at the UE for a radio link between the UE and a node in the multi-RAT HetNet. A reliability value of a throughput estimate can be measured for the radio link in the multi-RAT HetNet. The radio-link-selection hysteresis threshold can be adjusted at the UE based on the reliability value to increase network stability in the multi-RAT HetNet.

Abstract: Technology for a user equipment (UE) to communicate in a multiple radio access technology (multi-RAT) heterogeneous network (HetNet) is described. A radio-link-selection hysteresis threshold can be determined at the UE for a radio link between the UE and a node in the multi-RAT HetNet. A reliability value of a throughput estimate can be measured for the radio link in the multi-RAT HetNet. The radio-link-selection hysteresis threshold can be adjusted at the UE based on the reliability value to increase network stability in the multi-RAT HetNet.

Abstract: Embodiments described herein relate generally to efficient network-assisted communication between user equipment (“UE”). A first UE may be adapted to determine a plurality of hash values associated with provision of a resource by the first UE. The first UE may further determine a port at which the resource is available to be provided. The first UE may communicate this information to a server. Where a second UE wishes to consume the resource, the second UE may determine a plurality of hash values that correspond to those determined by the first UE. The second UE may transmit these determined hash values to the server. In response, the server may transmit the port and an IP address associated with the first UE to the second UE. The server may further facilitate D2D communication between the UEs for provision of the resource. Other embodiments may be described and/or claimed.

Abstract: A method and system for facilitating a semantic search based on one or more corpuses of natural language texts and presenting clustered results are provided. One or more corpuses of natural language texts are received including indexed linguistic parameters and semantic structures of lexical units. The linguistic parameters and semantic structures are generated during a preliminary syntactico-semantic analysis. Searching for text fragments satisfying a query in the one or more corpuses is performed. Relevance of the search results is estimated according to selected lexical meaning.

Abstract: A user equipment (UE) is configured to receive a maximum probability of accessing a wireless local area network (WLAN) for communication. The maximum probability is received via a 3rd Generation Partnership Project (3GPP) communication link with an Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Node B (eNB). The UE is further configured to determine that there is a queued transmission for the UE and, in response to determining that there is a queued transmission, to determine whether the UE is authorized to access to the WLAN using a probability less than or equal to the maximum probability. The UE is further configured to delay contention for access to the WLAN for at least a pre-backoff duration in response to determining that the UE is not authorized.