Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data routing. An example apparatus includes at least one memory, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to at least execute a machine-learning model to output a first data routing path in a network environment based on metadata associated with an event in the network environment. The processor circuitry is further to, after a detection of a change of the first data routing path to a second data routing path, retrain the machine-learning model to output a third data routing path based on the second data routing path. The processor circuitry is additionally to cause transmission of a second message to a first node based on the third data routing path after an identification of the event.

Abstract: System and techniques to verify sensor data are described herein. When sensor data is received, the sensor data is recorded into a data store and a trust score is generated for at least a portion of the sensor data. The trust score is based on several factors including a measure of agreement between the sensor data and other sensor data of a scene. The trust score may then be used to measure the veracity of claims supported by the sensor data.

Abstract: According to various aspects, controller for an automated machine may include: a processor configured to: compare information about a function of the automated machine with information of a set of tasks available to a plurality of automated machines; negotiate, with the other automated machines of the plurality of automated machines and based on a result of the comparison, which task of the set of tasks is allocated to the automated machine.

Abstract: According to various aspects, a controller for an automated machine may include: one or more processors configured to: obtain a message from a further automated machine in accordance with a communication protocol, the message including a first result of a first sensing process that the further automated machine performs; and determine an assessment of the automated machine based on the first result and based on a second result of a second sensing process that the automated machine performs.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data collection balancing for sustainable storage. An example apparatus includes at least one memory, machine executable instructions, and processor circuitry to at least one of execute or instantiate the machine executable instructions to orchestrate resources in an edge environment based on data ingested from a data source, execute a machine learning model based on the data to generate outputs, the outputs including at least one of a first value representative of data criticality or a second value representative of data quality of the data, reduce resource requirements associated with the resources of the edge environment based on the outputs to effectuate green data management of the edge environment, and cause an operation at a node of the edge environment based on at least one of the data or the outputs, the node associated with the data.

Abstract: Examples described herein relate to a network interface device that includes a direct memory access (DMA) circuitry; a network interface; at least two host interfaces to simultaneously connect to multiple platforms; an interface to a memory device; and circuitry. In some examples, at least two of the multiple platforms include a processor and a memory coupled to a circuit board. In some examples, the circuitry is to: based on a level of security classification of a second platform of the multiple platforms, perform secure transfer of data from a first platform of the multiple platforms to the second platform of the multiple platforms and enforce rules for data access and data transfer by the multiple platforms.

Abstract: A computer-implemented system, platform, device, and method of audio processing comprises receiving, by processor circuitry, a mixed audio signal having a plurality of audio sources, and separating the mixed audio signal into at least one separate target audio source signal; and determining whether or not the at least one separate target audio source signal is associated with at least one target audio source. This also comprises inputting at least one of the separate target audio source signals into a classifying neural network.

Abstract: Systems and methods for dynamically creating collaborative teams and managing collaborative work of a team are generally disclosed herein. One example embodiment includes the dynamic creation of a collaborative team by creating an association between team members via a managing module. The managing module may be capable of managing, among other things, team members on a team, tasks and goals of each member of the team, as well as documentation associated with the team. In some embodiments, the managing module may use a chat or messaging protocol to manage collaborative modifications to documents of the team.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data routing. An example apparatus includes at least one memory, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to at least execute a machine-learning model to output a first data routing path in a network environment based on metadata associated with an event in the network environment. The processor circuitry is further to, after a detection of a change of the first data routing path to a second data routing path, retrain the machine-learning model to output a third data routing path based on the second data routing path. The processor circuitry is additionally to cause transmission of a second message to a first node based on the third data routing path after an identification of the event.

Abstract: Systems and methods for dynamically creating collaborative teams and managing collaborative work of a team are generally disclosed herein. One example embodiment includes the dynamic creation of a collaborative team by creating an association between team members via a managing module. The managing module may be capable of managing, among other things, team members on a team, tasks and goals of each member of the team, as well as documentation associated with the team. In some embodiments, the managing module may use a chat or messaging protocol to manage collaborative modifications to documents of the team.

Abstract: According to various aspects, controller for an automated machine may include: a processor configured to: compare information about a function of the automated machine with information of a set of tasks available to a plurality of automated machines; negotiate, with the other automated machines of the plurality of automated machines and based on a result of the comparison, which task of the set of tasks is allocated to the automated machine.

Abstract: According to various aspects, a controller for an automated machine may include: one or more processors configured to: obtain a message from a further automated machine in accordance with a communication protocol, the message including a first result of a first sensing process that the further automated machine performs; and determine an assessment of the automated machine based on the first result and based on a second result of a second sensing process that the automated machine performs.

Abstract: Various embodiments are generally directed to cooperation among networked devices to obtain and use a multiple-frame screenshot. In one embodiment, an apparatus comprises a processor circuit executing a sequence causing the processor circuit to receive a signal conveying a context data; retrieve an aspect of a current context of the apparatus; compare the aspect to the context data; determine whether a context defined as appropriate exists to engage in interactions with one or more other computing devices through a network based on the comparison, the interactions comprising providing a network service to the one or more other computing devices; and engage in the interactions with one or more computing devices through the network when the appropriate context to engage in the interactions exists. Other embodiments are described and claimed herein.

Abstract: Methods and systems may involve receiving metadata associated with an activity of a user with respect to a first device, and capturing discovery content from one or more media sources based on the metadata. In addition, the discovery content and the metadata may be presented to the user via a second device.

Abstract: Methods of using subcutaneously implantable sensor devices and associated systems having a communication module that is controlled based upon the detection of a predetermined chemical agent.

Abstract: Systems and methods for dynamically creating collaborative teams and managing collaborative work of a team are generally disclosed herein. One example embodiment includes the dynamic creation of a collaborative team by creating an association between team members via a managing module. The managing module may be capable of managing, among other things, team members on a team, tasks and goals of each member of the team, as well as documentation associated with the team. In some embodiments, the managing module may use a chat or messaging protocol to manage collaborative modifications to documents of the team.

Abstract: Systems and methods may provide for brokering limited access to a service device via an intermediary. In one example, the method may include receiving a request communication at a control device including a request for limited access to a service device, wherein the request is received from an intermediary device on behalf of a request device, and transmitting an access communication to the intermediary device, wherein the access communication includes an access ticket to be used by the request device to gain the limited access of the service device.

Abstract: Systems and methods may provide for implementing a dynamic search service. In one example, the method may include receiving information relating to a topic of interest to a user, analyzing the information to determine a search parameter, conducting a coordinated search of content utilizing a plurality of device, generating and gathering results of a coordinated search from the plurality of devices, and generating a result communication including at least one result of the coordinated search.

Abstract: Systems and methods for dynamically creating collaborative teams and managing collaborative work of a team are generally disclosed herein. One example embodiment includes the dynamic creation of a collaborative team by creating an association between team members via a managing module. The managing module may be capable of managing, among other things, team members on a team, tasks and goals of each member of the team, as well as documentation associated with the team. In some embodiments, the managing module may use a chat or messaging protocol to manage collaborative modifications to documents of the team.

Abstract: Systems and methods may provide for identifying sensor data associated with an intraoral device and analyzing a chemical composition of an ingestible product based on the sensor data. Additionally, a notification may be selectively generated based on the chemical composition. In one example, analyzing the chemical composition includes determining the level of one or more of an allergen, a toxin or a predetermined substance in the ingestible product.