This directory contains the tflite_micro Python package. The following is mainly documentation for its developers. % python3 -m venv ~/tmp/venv % source ~/tmp/venv ...

How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...

A custom RISC-V instruction extension that hardware-accelerates Multiply-Accumulate (MAC) operations for TinyML inference on PicoRV32, achieving 11.6x speedup over software emulation at <1% silicon ...

TinyML is used to denote an area of machine learning focusing on the design of algorithms running on low-resource, low-energy devices. Classical AI use cases demand much processing power and make use ...

While machine-learning (ML) development activity most visibly focuses on high-power solutions in the cloud or medium-powered solutions at the edge, there is another collection of activity aimed at ...