The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in [...]

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M5Stack has launched the M5Stack LLM Module, an advanced offline large language model inference module designed for terminal devices requiring efficient, cloud-independent AI processing. This product is described as targeting offline applications such as smart homes, voice assistants, and industrial control. The AX630C SoC appears to include dual-core Arm A53 processors clocked at 1.2GHz, along […]

MicroPython has become one of the most popular ways of programming microcontrollers, and the just-released MicroPython v1.24 adds support for the widely-used Raspberry Pi RP2350 and Espresif ESP32-C6 microcontrollers and a range of other changes. Those include improved RISC-V support with native code generation, an updated Zephyr v3.7.0 RTOS with threading support, unified TinyUSB bindings across ports, a portable UART IRQ API, and enhanced mpremote recursive copy. Damien George goes into more detail about the RISC-V improvements: … include an RV32IMC native code emitter, native NLR and GC register scanning implementations for 32- and 64-bit RISC-V, support for placing RV32IMC native code in .mpy files and also freezing it, and RISC-V semihosting support. Testing for RISC-V is done with the qemu and unix ports, and the support is utilised in the esp32 and rp2 ports. The Raspberry Pi RP2350 comes with both Arm Cortex-M33 and RISC-V cores, and the good [...]

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The ATOMS3R Camera Kit M12 is a compact, programmable IoT controller featuring a 3-megapixel OV3660 camera for high-resolution image capture. Designed for IoT applications, motion detection, wearable devices, and educational development, its small form factor is suited for various embedded projects. Powered by the ESP32-S3-PICO-1-N8R8, the kit features an embedded ESP32-S3 SoC with a dual-core […]

M5Stack ATOMS3R and ATOMS3R Cam are two tiny devkits based on ESP32-S3-Pico system-in-package and a similar design but the first one features a 0.85-inch color color IPS display, while the other is equipped with a GC0308 VGA camera. Both modules measure just 24x24mm with a thickness of around 13mm, integrate BMM150 and BMI270 motion sensors, offer GPIO expansion through female headers and a grove connector, and feature an infrared transmitter and a USB Type-C port for power and programming. Those are the second devkits based on the ESP32-S3-Pico SiP after we covered the tiny OMGS3 module earlier this week. M5Stack ATOMS3R with display ATOMS3R specifications: SiP – Espressif ESP32-S3-PICO-1-N8R8 SoC ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 16 KB RTC SRAM Wireless – WiFi 4 and Bluetooth 5 LE + Mesh Memory – 8MB QSPI PSRAM Storage – 8MB QSPI flash Display – 0.85-inch color IPS screen [...]

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The ATOMS3R development kit is a compact and versatile programmable controller based on the ESP32-S3-PICO-1-N8R8 module. Designed for embedded smart device applications, it combines robust processing power with built-in Wi-Fi, making it effective for a wide range of IoT and motion-sensing projects. The ATOMS3R development kit is built around the ESP32-S3-PICO-1-N8R8 SoC, a dual-core Xtensa […]