Distributed machine-learning resource sharing and request routing

This invention describes a system for intelligently handling requests for machine learning tasks by sending them to the most suitable computer or distributing them among several. It works by comparing the machine learning capabilities and other computer characteristics, such as processing power, memory, and network speed, of different devices like phones, TVs, or cloud servers. The goal is to ensure the machine learning work gets done efficiently by the most suitable device, which could be an edge device, a cloud node, or even a residential gateway.

Why it matters: Filed before the explosion of highly specialized and resource-intensive machine learning models, this invention's focus on routing based on specific neural network types and diverse device capabilities is now more critical. The increasing power of edge devices and the complexity of modern AI tasks make efficient, distributed processing a greater necessity.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software system, network integration

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10