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.
RZ/A2M Microprocessors
Renesas RZ/A2M microprocessors with Dynamically Reconfigurable Processor (DRP) Technology offer an innovative architecture based on the Arm Cortex®-A9 processor and industry-leading 4MB of on-chip memory.
Dynamically Reconfigurable Processor (DRP)
DRP Technology from Renesas accelerates image processing by 10X or more using time and space multiplexing and enables innovative e-AI applications using RZ Series MPUs.
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.
e-AI Translator V1.4.0 is released in Feb 2020, the new features are Keras framework support and Batch Normalization Layer support, etc.
Links & Contact Information
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