Running neural networks on microcontrollers once appeared impractical. It is now a major component of embedded design. TinyML and enhanced tooling have enabled developers to place intelligence on low-power edge devices directly. Microcontrollers are highly restrictive systems. They provide low RAM, minimal flash memory, low processing speed, and constrained power envelopes. Conventional neural networks are […]
