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Renesas enhance AI in small MCUs after acquiring Reality Analytics

Renesas Electronics made a good progress in providing artificial intelligence (AI) and tiny machine learning (TinyML) solutions a year after it acquired embedded AI provider Reality Analytics. Renesas said Reality AI’s wide range of embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial and commercial products fit well with its embedded processing and IoT offerings. Small low capacity MCUs can be embedded with machine learning and advanced signal processing math functions handling machine learning inference tasks. However it is not limited to MCUs they can also be embedded inside more powerful MPUs. AI MCU MPU
By using Reality AI Tools software environment users can automatically explore sensor data and generate optimized models. Reality AI Tools contains analytics to find the best sensor or combination of sensors, locations for sensor placement, and automatic generation of component specs and includes fully explainable model functions in terms of time/frequency domains. In a span of one-year, Renesas claims it has delivered a wide range of solutions based on Reality AI technology. The following products will be presented at Renesas’ Booth #945 at the Sensors Converge Tradeshow, June 20-22 at the Santa Clara Convention Center: Reality AI Tools is now tightly ...
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