Vole has come up with the Embedded Learning Library (ELL) which could change the way AI is processed in small devices like the Raspberry Pi.

Using a tiny processing unit, Microsoft’s method will remove the need for the device to be constantly connected to the internet. This will also reduce the bandwidth required by the system, which will be great for developers in countries where connectivity is a problem.

A spokesVole said that there was no way to take a deep neural network, keep it accurate and consume 10,000 less resources.

“You can’t do it, so, for that, we have a longer-term approach, which is to start from scratch. To start from math on the white board and invent a new set of machine-learning technologies and tools that are tailored for these resource-constrained platforms.”

It will make it harder for hackers because if the AI chip is off-line most of the time it will be harder to crack.

Applications for this are limitless as it can be housed locally on lots of different devices which only talk to each other.