Patent ID: 11968281
Assignee: AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE. LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 16:
17. One or more computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to perform a method, the method comprising:
receiving a client request to process data via one or more machine learning processes, the client request originating from a client device;
determining a first set of attributes associated with a first network device and determining a second set of attributes associated with a second network device, the first set of attributes and the second set of attributes include one or more machine learning processing capabilities of a respective network device, the one or more machine learning processing capabilities comprising at least one of a machine learning model type hosted on a respective network device, hyperparameters used in a respective machine learning model, output data post-processing functions, and data paths for input and output data flows;
based at least in part on the client request and the determining of the first set of attributes and the second set of attributes, selecting the first network device and the second network device to route the client request to; and
based at least in part on the selecting, causing the first network device to process a first portion of the data and causing the second network device to process a second portion of the data;
wherein the first network device comprises a first machine learning core, the first machine learning core is configured to enable end-to-end processing associated with an object, wherein the object represents any logical entity with a unique signature embedded in ML input data, and wherein the first machine learning core is configured to:
detect and classify an object present in the ML input data by detecting a signature associated with the object,
track the object continuously or periodically across a stream of the ML input data,
zoom in on the object by scaling associated attributes of the object or detecting additional detailed attributes, and
post-process the data by generating results from the detecting, tracking, and zooming and transmitting a notification that applies a particular data-privacy rule.