Renesas Electronics Corp., a global provider of advanced semiconductor solutions, announced that it has entered into a definitive agreement with Reality Analytics Inc. (Reality AI), a leading provider of embedded AI solutions. The transaction has been unanimously approved by the boards of directors of both companies and is expected to close by the end of calendar year 2022, subject to shareholder and regulatory and other approvals. customary closing conditions. The acquisition will significantly improve the AI capability of Renesas’ devices, providing more flexibility and efficiency for system developers to prepare their products for artificial intelligence of things (AIoT) and bring them to market faster.
Source: Reality Analytics Inc.
The importance of integrating AI into products has recently increased in the connected world as endpoint workload requirements have evolved. For IIoT (Industrial IoT), consumer, automotive and other embedded applications that require intelligent decision-making based on machine learning physically closer to the data source, low latency and high security are a must. Together with its partners, Renesas offers development environments and software that enable the integration of AI into its low-power and highly secure MCUs (microcontrollers) and MPUs (microprocessors). The acquisition of Reality AI enables Renesas to expand its internal capability to deliver comprehensive and highly optimized endpoint solutions from both a hardware and software perspective. This enables system developers to realize device intelligence across a wide range of IIoT, consumer, and automotive applications.
Deliver best-in-class AI inference
Based in Columbia, MD, USA, Reality AI offers a wide range of embedded AI and Tiny Machine Learning (TinyML) solutions for advanced non-visual sensing in automotive, industrial and commercial products. They provide machine learning with advanced signal processing mathematics, delivering fast and efficient machine learning inference that scales to smaller microcontrollers. Reality AI Tools, the flagship product of Reality AI, a software environment designed to support the full product development lifecycle, provides analytics from non-visual sensor data. Their inference-based AI solutions can be implemented in various endpoint AI applications. Good examples of the company’s versatile expertise are industrial anomaly detection and automotive sound recognition using AI-built sensors.
Combining these technologies with Renesas’ wide range of MCU and MPU portfolios, designed to provide the best AI inference and signal processing capabilities, will help developers seamlessly apply advanced machine learning and signal processing. signal to complex problems.
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