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.
e-AI White Papers
International Data Corporation (IDC), a premier global provider of market intelligence offers global, regional, and local snapshots on technology and industry opportunities and trends.
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.
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 Wins Electronics Products’ 2018 Product of the Year Award
High-speed embedded AI-based image processing device recognized for design innovation with dynamically reconfigurable processor (DRP) technology.
Enhancing Endpoint Intelligence