Business

ROHM's new AI-enabled microcontrollers deliver real-time edge processing to industrial and smart home devices

Monday, 1 December 2025 10:22AM UTC

ROHM's ML63Q25x series microcontrollers now enable on-device artificial intelligence with rapid anomaly detection and predictive maintenance, disrupting traditional reliance on network connectivity for industrial and consumer applications.

Mouser Electronics has commenced shipping ROHM Semiconductor’s ML63Q25x series of microcontrollers (MCUs), which are designed to embed artificial intelligence capabilities directly within edge devices. These advanced MCUs focus on applications spanning industrial automation, robotics, consumer electronics, and smart home systems, enabling real-time monitoring and predictive maintenance without dependence on network connectivity. This on-device AI approach not only minimises latency but also mitigates security risks associated with data transmission over networks.

According to ROHM, the ML63Q25x family executes anomaly detection and learning locally, identifying potential equipment failures before they occur. This proactive capability aims to enhance operational stability, reduce maintenance expenses, and minimise downtime in production environments. Central to this functionality is ROHM’s proprietary Solist-AI platform, which employs a lightweight three-layer neural network to deliver AI inference at the device level. This technology operates around 1,000 times faster than traditional software processing methods, powered by ROHM’s custom AI accelerator called AxlCORE-ODL.

Each MCU integrates a 32-bit Arm Cortex-M0+ processor with the AxlCORE-ODL AI accelerator and a broad array of peripheral circuits. These include a CAN FD controller, three-phase motor control PWM, dual A/D converters, analog comparators, and multiple communication interfaces such as I²C, SPI, and UART. The devices maintain low power consumption at approximately 40mW during AI processing, enhancing their suitability for diverse operational environments and equipment models. They are designed to operate over wide voltage (2.3V to 5.5V) and temperature (-40°C to 105°C) ranges, making them robust for industrial and residential applications alike.

To support developers and engineers, Mouser offers reference boards for these MCUs, the RB-D63Q2537 and RB-D63Q2557, which facilitate software debugging and FlashROM programming through an Arm debugger. These boards also provide connectivity to monitor the AI accelerator’s performance via FTDI’s USB-to-SPI interface (FT232H), streamlining evaluation and development efforts.

ROHM claims that by performing AI learning and inference entirely on the MCUs themselves, without recourse to external networks, the ML63Q25x series sets a new benchmark for edge intelligence. This capability is particularly crucial for industrial IoT applications and home appliances, where real-time anomaly detection and predictive maintenance can significantly improve reliability and cost efficiency. Industry data underscores the growing demand for such embedded AI solutions, driven by the need for smarter, autonomous devices that operate seamlessly and securely at the edge.

Overall, ROHM’s AI-enabled microcontrollers represent a significant advancement in embedded machine learning technology, combining energy-efficient hardware with sophisticated AI algorithms tailored for practical, real-world applications.

📌 Reference Map:

^[1] (New Electronics) - Paragraphs 1, 2, 4, 5
^[2] (Nasdaq) - Paragraph 2, 3
^[3] (All About Circuits) - Paragraph 2, 3
^[4] (ROHM) - Paragraph 3
^[5] (Electronics Media) - Paragraph 3
^[6] (Macnica) - Paragraph 2
^[7] (GlobeNewswire) - Paragraph 2, 3

Source: Noah Wire Services

More on this

https://www.newelectronics.co.uk/content/news/mouser-begins-shipping-rohm-s-ai-enabled-microcontrollers - Please view link - unable to able to access data
https://www.nasdaq.com/press-release/rohm-develops-breakthrough-ai-equipped-mcu-2025-06-04 - ROHM Semiconductor has developed the ML63Q25x series of microcontrollers (MCUs) featuring on-device AI capabilities. These MCUs are designed for applications in industrial automation, robotics, consumer electronics, and smart home systems. They perform real-time anomaly detection and predictive maintenance without relying on network connectivity, thereby reducing latency and security risks. Powered by ROHM's proprietary Solist-AI platform, the devices utilise a lightweight three-layer neural network for local AI inference. Each MCU integrates a 32-bit Arm Cortex-M0+ processor, ROHM's AxlCORE-ODL AI accelerator, and various peripheral circuits, all while maintaining low power consumption of approximately 40mW.
https://www.allaboutcircuits.com/news/rohm-breaks-ground-with-first-self-contained-ai-equipped-mcu/ - ROHM Semiconductor has introduced the ML63Q25x series of microcontrollers (MCUs) that incorporate on-device AI learning and inference capabilities. These MCUs are tailored for predictive maintenance in industrial control and monitoring applications. They feature a 32-bit Arm Cortex-M0+ processor and ROHM's Solist-AI accelerator, enabling both AI learning and inference without external support. The MCUs are equipped with advanced peripherals, including a CAN controller, motor control PWM, and multiple timers, making them suitable for a wide range of applications requiring real-time anomaly detection and predictive maintenance.
https://www.rohm.com/products/micon/solist-ai/ml63q2500-group/ml63q2537-nnngd_taping_-product - The ML63Q2537-NNNGD(Taping) is a microcontroller from ROHM's ML63Q25x series, featuring a 32-bit Arm Cortex-M0+ processor and an AI accelerator named AxlCORE-ODL. It integrates various peripheral circuits, including a CAN FD controller, three-phase motor control PWM, dual A/D converters, analog comparators, I²C, SPI, and UART interfaces. With a low power consumption of approximately 40mW during AI processing, this MCU is ideal for predictive failure detection in industrial equipment and home appliances. It operates over a voltage range of 2.3V to 5.5V and a temperature range of -40°C to 105°C.
https://www.electronicsmedia.info/2025/07/14/mouser-expands-embedded-ai-and-ml-processor-solutions/ - Mouser Electronics has expanded its portfolio of embedded machine learning (ML) and artificial intelligence (AI) solutions by offering ROHM Semiconductor's ML63Q2537 and ML63Q2557 microcontrollers. These MCUs feature a 32-bit Arm Cortex-M0+ CPU coupled with ROHM's AxlCORE-ODL AI accelerator, supporting embedded ML tasks. They integrate a CAN FD controller, three-phase motor control PWM, dual A/D converters, analog comparators, and I²C, SPI, and UART communication interfaces. With low power consumption of approximately 40mW during AI processing, these MCUs are suitable for anomaly detection and predictive maintenance in industrial IoT equipment and home appliances.
https://www.macnica.co.jp/en/business/semiconductor/manufacturers/rohm/news/147174/ - ROHM Co., Ltd. has developed the ML63Q253x-NNNxx / ML63Q255x-NNNxx microcontrollers, equipped with AI functions that enable failure sign detection and deterioration prediction using sensing data in various equipment, including industrial equipment such as motors. These MCUs perform both learning and inference independently without the need for a network, making them the industry's first microcontrollers to do so. They utilise a simple three-layer neural network algorithm and are powered by ROHM's proprietary AI accelerator, AxlCORE-ODL, achieving approximately 1,000 times faster AI processing compared to conventional software methods.
https://www.globenewswire.com/news-release/2025/06/04/3094024/0/en/ROHM-Develops-Breakthrough-AI-Equipped-MCU.html/ - ROHM Semiconductor has developed the ML63Q25x series of microcontrollers (MCUs) that enable fault prediction and degradation forecasting using sensing data in a wide range of devices, including industrial equipment, residential facilities, and home appliances. These MCUs perform both learning and inference entirely at the endpoint without relying on network connectivity, reducing latency and security risks. They are powered by ROHM's proprietary Solist-AI platform, which uses a lightweight three-layer neural network to deliver AI inference locally. The MCUs integrate a 32-bit Arm Cortex-M0+ processor, ROHM's AxlCORE-ODL AI accelerator, and various peripheral circuits, all while maintaining low power consumption of approximately 40mW.

Noah Fact Check Pro

The draft above was created using the information available at the time the story first emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed below. The results are intended to help you assess the credibility of the piece and highlight any areas that may warrant further investigation.

Freshness check

Score: 8

Notes: The narrative was first published on June 4, 2025, by ROHM Semiconductor, announcing the development of the ML63Q25x series of AI-equipped microcontrollers. ([nasdaq.com](https://www.nasdaq.com/press-release/rohm-develops-breakthrough-ai-equipped-mcu-2025-06-04?utm_source=openai)) Mouser Electronics began shipping these MCUs in November 2025, as reported by Electronics Media. ([electronicsmedia.info](https://www.electronicsmedia.info/2025/11/17/ml63q25x-microcontrollers/?utm_source=openai)) The New Electronics article, dated December 1, 2025, provides an overview of the product and its applications. The content appears to be original, with no evidence of recycled news or significant discrepancies in figures, dates, or quotes. The inclusion of updated data on Mouser's shipping status justifies a higher freshness score. However, the core information about the product's features and applications remains consistent with earlier reports. The narrative is based on a press release from ROHM Semiconductor, which typically warrants a high freshness score. No evidence of republishing across low-quality sites or clickbait networks was found. No similar content was found published more than 7 days earlier.

Quotes check

Score: 9

Notes: The narrative includes direct quotes from ROHM Semiconductor's press release, such as: > "ROHM claims that by performing AI learning and inference entirely on the MCUs themselves, without recourse to external networks, the ML63Q25x series sets a new benchmark for edge intelligence." ([nasdaq.com](https://www.nasdaq.com/press-release/rohm-develops-breakthrough-ai-equipped-mcu-2025-06-04?utm_source=openai)) These quotes are consistent with the original press release, indicating no significant variations or discrepancies. No earlier usage of these exact quotes was found, suggesting the content is original or exclusive.

Source reliability

Score: 8

Notes: The narrative originates from New Electronics, a reputable UK-based publication focusing on electronics industry news. The primary source is ROHM Semiconductor's press release, which is a direct communication from the company. No unverifiable entities or fabricated information were identified.

Plausability check

Score: 8

Notes: The claims about the ML63Q25x series' capabilities, such as on-device AI learning and inference without network connectivity, are plausible and align with ROHM Semiconductor's previous announcements. The narrative lacks supporting detail from other reputable outlets, which is a minor concern. The language and tone are consistent with industry standards, and there are no signs of excessive or off-topic detail. The tone is formal and appropriate for a corporate announcement.

Overall assessment

Verdict (FAIL, OPEN, PASS): PASS

Confidence (LOW, MEDIUM, HIGH): HIGH

Summary: The narrative is original, with no evidence of recycled content or significant discrepancies. The quotes are consistent with the original press release, and the source is reputable. The claims are plausible and align with previous announcements from ROHM Semiconductor. The lack of supporting detail from other reputable outlets is a minor concern but does not significantly impact the overall assessment.

Embedded AI
Edge Computing
Microcontrollers