Architecture for a hardware based explainable neural network

This invention describes a method to transform complex software-based artificial intelligence into specialized hardware circuits. The aim is to create AI systems that operate much faster and consume less power, particularly for devices like smartphones, IoT, or edge computing. A key feature is that both the original software AI and the resulting hardware AI remain understandable and transparent in their decision-making.

Why it matters: The demand for explainable AI in critical applications has intensified, alongside a greater need for efficient, low-power edge AI hardware. This invention directly addresses both.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedCustom silicon, HDL/VHDL programming, hardware 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