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産業界の急速な自動化は人と機器に想定外のリスクを生じます。開発者は様々な安全対策が必要です。ルネサスには堅牢、低コスト、素早い市場投入ができる製品があります。

This blog gives an overview of the security implementation on Cortex-M33 CPU based RA microcontrollers to understand the key concepts to consider, when implementing an application using TrustZone technology.

At Renesas, we put data security first in every new IIOT-enabled microcontroller we design

Secure handling of application cryptographic keys presents a significant challenge. Discover how the latest RA MCUs enable secure factory programming, by leveraging a Renesas-provided, simple and free of charge service.

Take advantage of the extensive Example Projects available from Renesas to help support your RA MCU design.

RealityCheck ADは、Realty AIのAIソフトウェアを実行するエッジノード、1つ以上のセンサー、さらに機器のモニタリングやより高度なモデルの開発を行うためのクラウド上のエンジニアリングワークステーションで構成されています。

While building machine learning models on sensor and signal data, many customers hit a point where they're not getting the desired result. Here's a process we go through to find the best path forward.

Software is becoming the new sensor. This shift in thinking opens the door to incorporating more complex, AI-based algorithms, rather than just simple condition thresholds.

Reality AI Tools^® includes functionality to monitor the status of data collection automatically, tracking consistency, quality, and coverage.

To get your machine learning model to the point where it’s ready for field testing, you’ll want to collect several thousand observations that cover a broad a range of the variation expected.