Eta Compute announced the release of its TENSAI® Flow software. The suite complements existing development resources from the company and allows for seamless design from concept to firmware. Its purpose is to help speed the process of creating machine learning applications in IoT and edge devices.
TENSAI flow helps minimize risk in development by confirming feasibility and proof of concept. Per the company, it includes a neural network compiler, a neural network zoo, and middleware comprising FreeRTOS, HAL and frameworks for sensors, as well as IoT/cloud enablement.
The middleware eliminates the need to write custom code in order to take advantage of DSPs, making dual core programming seamless. The neural network zoo assists in accelerating development with ready-to-use networks for common use cases. Such cases include motion, image, and sound classifications.
According to the company, compared to direct implementation on a competitive device of the same CIFAR10 neural network, the TENSAI neural network compiler on TENSAI SoC improves energy per inference by a factor 54x.
Further, its interface with Edge Impulse allows developers to acquire and store training data. This lets consumers train a single time and have real-world models for future developments.
The software automatically optimizes TensorFlow Lite AI models for Eta Compute’s TENSAI SoC.
For more information, visit https://etacompute.com/.
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