Computing system
A system includes a transceiver to communicate with a predetermined target; one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target; and an edge processing module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target.
1. A system, comprising:
a transceiver to communicate with a predetermined target;
one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
an edge processing module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target; and
a quantum computer coupled to the edge processing module.
2. The system of claim 1 , comprising a parser that receives classical specification and data and determines if a portion of the classical specification runs on the quantum computer, and if so maps the classical specification to a quantum algorithm which is provided to an execution unit that selects one or more quantum processors, one or more classical processors, one or more graphical processing units (GPUs), or one or more neuromorphic processors.
3. The system of claim 1 , wherein a processor calibrates a connection by analyzing RSSI and TSSI and moves the antennas until predetermined cellular parameters are reached.
4. The system of claim 1 , wherein the edge processing module comprises at least a processor, a graphical processing unit (GPU), a neural network, a quantum processor, a statistical engine, or a programmable logic device (PLD).
5. The system of claim 1 , wherein the edge processing module and the one or more antennas are enclosed in a housing or shipping container, or the edge processing module is in a separate shipping container adjacent the one or more antennas.
6. A system, comprising:
a transceiver to communicate with a predetermined target;
one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
an edge processing module with a learning machine or neural network; and
a beam sweeping module controlling the one or more antennas in accordance with one of: a service level agreement, a performance requirement, a traffic distribution data, a networking requirement or prior beam sweeping history.
7. The system of claim 6 , wherein the beam sweeping module is directed at a group of autonomous vehicles, a group of virtual reality devices, or a group of devices performing similar functions.
8. A system, comprising:
a transceiver to communicate with a predetermined target;
one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
an edge processing module including a learning machine or a neural network coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target.
9. The system of claim 8 , wherein the transceiver comprises a 5G or 6G cellular transceiver, and wherein the predetermined target comprises a plurality of antennas coupled to a case to receive signals from the transceiver.
10. The system of claim 8 , comprising one or more cameras and sensors in the housing to capture security information.
11. The system of claim 8 , comprising edge sensors including LIDAR and RADAR.
12. The system of claim 8 , comprising a camera for individual identity identification.
13. The system of claim 8 , wherein the edge processing module streams data to the predetermined target to minimize loading the predetermined target.
14. The system of claim 8 , wherein the edge processing module shares workload with a core processing module located at a head-end and a cloud module located at a cloud data center, each processing module having increased latency and each having a processor, a graphical processing unit (GPU), a neural network, a quantum computer, a statistical engine, or a programmable logic device (PLD).
15. The system of claim 8 , comprising a cellular device for a person crossing a street near a city light or street light, the cellular device emitting a person to vehicle (P2V) or a vehicle to person (V2P) safety message.
16. The system of claim 8 , comprising a cloud trained neural network whose network parameters are down-sampled and filter count reduced before transferring to the edge processing module neural network.
17. The system of claim 8 , comprising at least a sensor, a camera, or a microphone in communication with the edge processing module.
18. The system of claim 8 , wherein the edge processing module offloads processing for a vehicle, a drone, a reality display, a virtual reality display, an augmented reality display, an extended reality display, a game device, a healthcare device, or a manufacturing device.
19. The system of claim 8 , wherein the edge processing module protects privacy or secures data communication with the transceiver.
20. A system, comprising:
a transceiver to communicate with a predetermined target;
one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target; and
a module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target, the module including an edge learning machine in a housing or shipping container to provide local edge processing for Internet-of-Things (IOT) sensors.
21. The system of claim 20 , wherein the edge learning machine uses pre-trained models and modifies the pre-trained models for a selected task.