A storm is coming. AIStorm presents its AI-in-Sensor SoCs…
Sensors are not digital devices. To convert sensor information into a digital representation takes time, power, silicon, and adds distortion & noise. AIS solutions can be finished processing before the competition even has enough digital information to begin. So why not skip the middle man and consider our SoCs for your next project?
Because we don’t have to digitize sensor information, we offer the lowest power usage for performance in the industry.
Our patented charge domain technology guarantees a high performance, fully integrated SoC that you can’t find anywhere else.
We pass cost savings onto you by eliminating energy-intensive GPUs and DSPs so that you can focus on making your next project even better.
The core of our technology is our patented charge domain MAC.
The benefits of this solution are lower noise, power, speed and size over similar technologies including memristors, resistive RAM, NVM-controlled resistors and other competing technologies.
Our architecture is based around four core ideas:
Event-driven charge processing using 10’s to 1000’s of electrons each cycle
Virtual neurons taking advantage of >1GHz equivalent digital processing capability
Eliminating digitization through on chip sensors coupling directly to the AI
Scalable, software driven, on chip networking driven by standard tools
There are several companies that are offering analog AI solutions, but these products are challenged by fundamental physical noise and bandwidth limitations that cannot be overcome.
AIStorm has taken a different path –charge domain processing. Working with charge, this method opens up opportunities for AI-in-Sensor processing for image or audio enhancement that just cannot be implemented any other way.
Charge domain processing is a revolution in processing that overcomes the noise and bandwidth limitations of other analog solutions. Charge domain solutions can accept IoT sensor information directly without the cost, power and latency of digitization and therefore represent a better solution over both analog and digital solutions.