AT&T Mobility II LLC

A method to create a serial wire speed firewall that can monitor and enforce security policy on a CAN buy network and prevent cyber-attacks.

Aspects of the subject disclosure may include, for example, a method of receiving, by a quantum processing system including a hybrid quantum-classical processor, qubits from one or more quantum communication channels by the quantum processor or hybrid quantum-classical processor, wherein each quantum processor or hybrid quantum-classical processor is physically distinct, and wherein the one or more quantum communications channels utilize quantum channel coding and quantum error detection; performing, by the quantum processing system, quantum logic operations on the qubits; and utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services. Other embodiments are disclosed.

A processing system including at least one processor may obtain a request for a performance of a task, where the task is to be performed by at least one autonomous vehicle, broadcast an offer for performing the task to a plurality of autonomous vehicles, obtain from a first autonomous vehicle of the plurality of autonomous vehicles, a bid to perform the task by the first autonomous vehicle and at least a second autonomous vehicle, and assign the task to the first autonomous vehicle and the at least the second autonomous vehicle in response to the bid.

Aspects of the subject disclosure may include, for example, obtaining first data, analyzing the first data to delineate a plurality of zones including a first zone and a second zone, wherein the first zone and the second zone are distinguishable from one another in terms of at least one wireless network performance characteristic, obtaining, from a communication device, a request for wireless network performance data pertaining to a specified location that is within a threshold distance of the first zone, the second zone, or a combination thereof, based on the obtaining of the request, processing the request to identify second data corresponding to the wireless network performance data, wherein at least a portion of the second data is based on the first data, and transmitting the second data. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example obtaining first data defining a wireless usage zone associated with at least one client device, obtaining second data defining at least one communication service that is likely to be requested in conjunction with the wireless usage zone, obtaining third data defining a performance of a communication network or system for supporting the at least one communication service, determining, based on an analysis of the first data, the second data, and the third data, that a quality of the at least one communication service is likely to fail satisfying a threshold, and identifying, based on the determining, at least one action for enhancing the quality of the at least one communication service. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining performance data of a wireless network determined by multiple wireless devices at multiple different locations, the performance data describing a performance of the wireless network at the multiple different locations. The network performance data is associated with multiple performance levels or ranges and the network performance data is analyzed according to the multiple performance ranges to identify one or more spatial performance zones according to the performance data, the multiple different locations, and the multiple performance ranges. The operations further include determining user location data of a mobile device and determining performance-based information based at least in part on the user location data and the one or more spatial performance zones. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, receiving first data relating to a position or an orientation of one or more adaptive antennas and second data relating to one or more signals received via the one or more adaptive antennas, causing an AI model to generate a prediction for aligning or adjusting the one or more adaptive antennas based on the first data and the second data, and based on the prediction, transmitting a command to an antenna controller unit to cause the one or more adaptive antennas to be aligned or adjusted. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining first data associated with a first vehicle, wherein the first data comprises a first location, a first direction of travel, and a first velocity; obtaining second data associated with a second vehicle, wherein the second data comprises a second location, a second direction of travel, and a second velocity; identifying an alerting condition caused by the second vehicle; responsive to the identifying of the alerting condition, determining a relative location vector between the first vehicle and the second vehicle; and transmitting a message to the first vehicle, wherein the message includes a description of the alerting condition and the relative location vector. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining geographic data that defines a traffic flow zone; obtaining vehicle data associated with each of one or more vehicles (the vehicle data comprising, for each vehicle, a location and a an autonomous capability); comparing the location of each vehicle with the geographic data to identify which of the vehicle(s) is within the traffic flow zone, resulting in a set of identified vehicle(s); analyzing the autonomous capability of each vehicle that is in the set of identified vehicle(s), wherein the analyzing results in a determination of whether each vehicle in the set of identified vehicle(s) meets a minimum autonomous capability threshold; and responsive to the determination being that each vehicle in the set of identified vehicle(s) meets the minimum autonomous capability threshold, facilitating management of movement of each vehicle in the set of identified vehicle(s). Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations by a suite of artificial intelligence (AI) assistants, the operations including: creating a quantum digital twinning model for a first high-impact event; gathering real-time dynamic data associated with the first high-impact event; generating prompts for a generative AI trained for high-impact events based on the quantum digital twinning model and the real-time dynamic data; and receiving and providing recommendations for actions addressing issues related to the first high-impact event to a user of the device. Other embodiments are disclosed.