AI.
IoT.
AIoT.
As an easy-to-please language nerd, I love how easily these acronyms flow together.
As an editor for IoT Evolution World who is very much immersed in topics pertaining both to explosive rise of artificial intelligence and the ever-dynamic use cases for the broader Internet of Things, AIoT is quite exciting.
Our team has covered myriad stories involving the uptick of AI developments, as well as the IoT hardware and software that has been substantially upgraded by AI in 2023 alone.
Well, here’s another:
Across four of its major growth segments – IoT, industrial (also IIoT), automotive, and infrastructure – Renesas strives to drive innovation with a comprehensive portfolio of microcontrollers (MCUs), as well as analog and power devices. In that vein, Renesas made an announcement this week:
Renesas has officially created interfaces between its Reality AI Tools and its e2 studio integrated development environment, enabling designers to seamlessly share data, projects and AI code modules between the two programs, benefitting a ton of huge use cases.
The Renesas Reality AI Tools Solution Toolkit (or Reality AI Tools) allows engineers to generate and build TinyML/Edge AI models based on advanced signal processing. Users can automatically explore IoT sensor data, generate optimized models, etc. So, part and parcel with this announcement, modules for real-time data handling have now been integrated in Renesas MCU Software Kits to facilitate streamlined data collection from customer hardware, enabling faster design cycles for applications at the edge and endpoint of IoT networks.
“Successful AI implementations are built by developing and training models with real world input from sensor data,” said Mohammed Dogar, Vice President of Global Business Development and Ecosystem at Renesas. “So, by providing seamless data sharing between our Reality AI Tools and e2 studio products, we’re providing the market’s best solution to enable designers to quickly build accurate and powerful AI applications for IoT and beyond.”
Notably, Renesas is also building a library of application examples and reference solutions (internally and in collaboration with ecosystem partners). The examples offer proofs-of-concept and blueprints for specific use cases.
The Renesas AI application library now features 30+ reference solutions for use cases ranging from real-time analytics, vision and voice applications, and more.
Edited by
Greg Tavarez
