Powering machine intelligence in mobile and edge devices

Future mobile and edge devices, which are always on and always aware, will require a disruptive solution that delivers the processing power to enable machine intelligence within a very low power profile for applications such as speech and image recognition and heart rate monitoring. At Eta Compute, we have addressed this growing need by developing energy efficient ASICs and novel neural network AI software that can run on this energy efficient hardware. Unlike cloud based inferencing, our solution operates in an asynchronous mode for the highest energy efficiency.

Accuracy vs SNR Graph
Eta Compute Technology Chip

 

This architecture is more desirable for edge device applications where the amount of resources (both memory and compute) are limited. It also offers a solution for protecting/securing personal information without the need for relying on the cloud for inferencing.