e-AI Solution

Endpoint Intelligence

Beginning with Endpoint Intelligence, Renesas aims to contribute to the realization of an eco-friendly, smart society that supports safer and healthy living in areas where this cannot be solved simply by using big data in the cloud. With its flexible and scalable embedded artificial intelligence (e-AI) concept, Renesas offers a future-proof, real-time, low power AI processing solution that is unique in the industry and addresses the specific needs for artificial intelligence in embedded devices at the endpoint.


IDC White Paper

Embedded Artificial Intelligence: Reconfigurable Processing Accelerates AI in Endpoint Systems for the OT Market

This IDC white paper provides a perspective of the transformation of embedded semiconductors and the key technologies necessary to enable the adoption of AI and emerging usage models that illustrate the potential that AI brings to embedded systems and the operational technology (OT) market.

Download White Paper

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Renesas embedded AI connects us to machines we rely on with more speed and precision, even sensing and addressing problems before they arise.
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Renesas embedded AI connects us to machines we rely on with more speed and precision, even sensing and addressing problems before they arise.
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Renesas embedded AI connects us to machines we rely on with more speed and precision, even sensing and addressing problems before they arise.

e-AI Snapshots

Browse Applications

Learn Renesas' approach to today's e-AI solutions to see how our devices could be used in your next project.

What is Renesas' e-AI Solution?

The Renesas e-AI development environment makes it possible to implement learned Deep Neural Network (DNN) results onto an MCU/MPU in conformance with an e² studio C/C++ project.

e-AI Demonstration Experiment

An e-AI demonstration experiment revealed that e-AI has greatly improved detection precision with regards to facility abnormalities that previously could only be properly judged by a skilled technician or operator.

e-AI Solution Use Cases

Renesas continues to explore new e-AI solutions including applications for smart factory, home and infrastructure, as well as service robots.

Neural Network Structures Supported by Renesas Translator

Renesas' e-AI Translator is a tool that converts and imports the inference processing of neural network models which have been trained in an open-source deep-learning framework into source code files for the e² studio IDE.

Translator Tutorial

This tutorial introduces the procedure of outputting a file for the Renesas e-AI Translator and executing it on a Gadget Renesas board.

e-AI Development Environment & Downloads

Tools for running learned AI on Renesas MCUs and MPUs can be downloaded from our website.

Links & Contact Information

Submit inquiries and access additional information, development environments, supported products, and other resources.   

Featured Videos


Motor Failure Detection with e‑AI

This demonstration shows motor control and fault detection with a Renesas MCU.


Intelligent Manufacturing with e‑AI

This is a demonstration that an AI unit solution is connected to the actual equipment, and an abnormality judgment is made.


e-AI Solutions Accelerate Safety Monitoring for Manufacturing

A demonstration of predictive maintenance of equipment through the use of e-AI.


Cardiovascular Disease Predictor Reference Kit

A demonstration of a biological monitoring solution for home healthcare applications.


e-AI Healthcare Device Development Kit

A demonstration of the biomedical information monitor module.


Application Example of Device Coordination

A demonstration of a parking lot management system coordinating with peripheral devices.


Fault Forecasting Solutions for Office Automation Equipment

Using a printer as an example, this video shows a device forecasting its own failure.

Related Resources

RZ/A2M Microprocessors

Renesas RZ/A2M microprocessors offer an innovative architecture based on the ARM Cortex®-A9 processor and industry-leading 4MB of on-chip memory.

RZ/A2M Product Page