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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After the success of PicoADK v1, Datanoise has recently announced the launch of its PicoADK v2 music synthesizer built around the Raspberry Pi RP2350 MCU. The board supports projects like custom synthesizers, audio effects, and noise generation, and the 8 MB QSPI PSRAM of the RP2350 makes it ideal for memory-intensive applications such as long delays. Additionally, it features a SWD debug port, microSD card support, a MIDI-in circuit with an optocoupler, USB Type-C, user and power LEDs, and more. Previously, we have written about various similar synthesizer boards, like the Arduino-based MIDI controller, and we have seen products like the TinyLlama x86 retro computer, which uses the Raspberry Pi Zero 2 W as a MIDI synthesizer. PicoADK v2 music synthesizer specification Microcontroller – Raspberry Pi RP2350A MCU CPU – Dual-core Arm Cortex-M33 processor @ 150MHz Memory – 520KB internal RAM Storage – 8KB OTP Package – QFN-60; 7×7 mm Memory – Optional 8MB QSPI [...]

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StreamUnlimited and Realtek Semiconductor Corp have collaborated on the Stream210 audio streaming module based on the Ameba Smart RTL8730E Arm Cortex-A32 chip from the Ameba E series, with support for Wi-Fi 6, Bluetooth 5.3, and Matter for edge computing and IoT solutions. We have looked at previous Ameba IoT products, such as the Ameba RTL8722DM development board, Ameba Arduino, Ameba RTL8195AM module, and the Ameba RTL8710BN. The Ameba Smart chip is the first entry in the series to feature a Cortex-A32 processor. The Stream210 module is aimed at various audio and IoT applications, including digital radios, streaming audio receivers, wireless speakers, smart speakers, home automation products, and Wi-Fi headphones. Other wireless audio modules we’ve covered in the past include the Up2Stream Pro HiFi board, TTGO T9, and 8devices’ Tobufi module. Stream210 specifications: SoC – Ameba Smart RTL8730E dual-core Arm Cortex-A32 processor @ 1.3GHz Memory – 2Gbit RAM Storage – 2Gbit [...]

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GIGAIPC QBiX-ADNAN97-A1 industrial PC is a compact system, powered by the Intel Processor N97 quad-core Alder Lake-N processor. This industrial PC supports up to 16GB of DDR5 memory and features flexible storage options with an M.2 slot for SATA or NVMe drives. Additionally, the QBiX-ADNAN97-A1 supports dual independent displays via two HDMI ports, It also offers dual Gigabit Ethernet, multiple USB 3.2 Gen 2×1 ports, an M.2 E-Key for Wi-Fi/Bluetooth expansion, and a COM port for legacy device connectivity. Designed for reliable operation, this fanless system is ideal for various Industry 4.0 applications, including industrial automation, digital signage, and edge computing. QBiX-ADNAN97-A1 industrial PC specifications SoC – Intel Processor N97 quad-core Alder Lake-N processor @ up to 3.6 GHz with 6MB Cache, Intel UHD Graphics; 12W TDP System Memory – Up to 16GB DDR5 4800 MHz via SODIMM slot Storage – M.2 2280 M-Key socket for NVMe or SATA storage Display 2x HDMI 2.0 [...]

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Infineon’s PASCO2V15 CO2 sensor is a compact and precise carbon dioxide sensor that uses photoacoustic spectroscopy (PAS) leveraging its built-in microphone and IR emitter to detect CO2 levels by measuring pressure changes caused by the absorption of infrared light by CO2 molecules. The sensor is highly precise (±50 ppm ±5%) and can cover a wide range (0 to 32,000 ppm). it also includes features like pressure compensation and automatic baseline offset correction for reliability. With its small size and low power consumption, the PASCO2V15 can be integrated into HVAC systems, room controllers, smart thermostats, air purifiers, and other devices to optimize ventilation and improve energy efficiency. PASCO2V15 CO2 sensor specifications Sensor technology  – Photoacoustic Spectroscopy (PAS) with Non-Dispersive Infrared (NDIR) principles Gas measured – Carbon Dioxide (CO2) Measurement range – 0 to 32,000 ppm Accuracy – ± (50 ppm +5%) of reading between 400 ppm and 3000 ppm Output Interfaces [...]

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The HiFiBerry DAC8x and HiFiBerry Amp4 Pro are two significant upgrades for enhancing audio capabilities on the Raspberry Pi 5. These devices expand the audio options for users seeking higher-quality output and greater flexibility in audio configurations, offering solutions for both multi-channel audio and powerful stereo amplification. The HiFiBerry DAC8x addresses a long-standing limitation of […]