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     125  0 Kommentare Alif Semiconductor Expands their Groundbreaking Ensemble family with E1C, a MCU that Packs 46 GOPs of Extreme Low-power On-chip AI/ML Processing Into Tiny Footprint

    • The new E1C microcontroller with on-chip NPU and large tightly coupled memory opens up new potential for machine learning in deeply space- and power-constrained embedded applications and IoT endpoints.
    • Sophisticated aiPM power management system and ultra-efficient AI operation make the E1C ideal for wearable and other systems powered by small batteries.

    PLEASANTON, Calif., June 18, 2024 /PRNewswire/ -- Alif Semiconductor, a leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion processors, today launched the Ensemble E1C, an MCU series which combines rich digital and analog capabilities with a low-power on-chip neural processing unit (NPU) in a new compact form factor.

    Alif Semiconductor Expands their Groundbreaking Ensemble family with E1C, a MCU that Packs 46 GOPs of Extreme Low-power On-chip AI/ML Processing Into Tiny Footprint

    This new Ensemble family MCU, which combines a 160MHz Arm Cortex-M55 CPU core with Helium vector processing extension, an Arm Ethos-U55 NPU generating up to 46 GOPs, and up to 2MB of tightly coupled SRAM, is available in a tiny WLCSP package occupying a footprint of 3.9mm x 3.9mm.

    The introduction of the E1C extends the highly scalable Ensemble family, providing a new entry-level option for OEMs that want to take advantage of Ensemble's unique combination of high AI performance and ultra-low power consumption implemented in a familiar Arm environment. The new E1C also shares the same architecture as the Balletto family, allowing for software re-use across the entire family, and easy migration of applications from one device to another.

    Thanks to the efficient ML inferencing performance of the Ethos NPU and an advanced aiPM power management system, the E1C can perform both AI/ML and application control functions at ultra-low power levels. This means manufacturers can bring advanced ML capabilities to products such as wearable devices that have extreme constraints on power and space. The E1C's capabilities are optimized for local ML workloads such as object recognition, speech recognition, sensor fusion, and adaptive audio noise cancellation, easing heavy dependence on the cloud to provide a better user experience.

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    Alif Semiconductor Expands their Groundbreaking Ensemble family with E1C, a MCU that Packs 46 GOPs of Extreme Low-power On-chip AI/ML Processing Into Tiny Footprint The new E1C microcontroller with on-chip NPU and large tightly coupled memory opens up new potential for machine learning in deeply space- and power-constrained embedded applications and IoT endpoints.Sophisticated aiPM power management system and …