NanoPi M6V2 RK3588S SBC gains support for dual analog microphone input

FriendlyELEC's NanoPi M6V2 is an update to the NanoPi M6 Rockchip RK3588S SBC, whose main change is a 4-pin connector for dual analog microphone input. The RAM is also now fixed to 8GB (no more 4GB, 16GB, or 32GB options), some buttons have changed, and the company has stopped offering an enclosure with a built-in 3.5-inch display. The rest of the specifications remain the same, with LPDDR5 memory, support for microSD, eMMC flash, or NVMe storage, HDMI 2.1 and MIPI DSI display interfaces, MIPI CSI camera inputs, Gigabit Ethernet and optional M.2 WiFi/Bluetooth connectivity, a few USB ports, and a 30-pin GPIO header. NanoPi M6V2 specifications: SoC – Rockchip RK3588S CPU – Octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, 4x Cortex-A55 cores @ up to 1.8 GHz GPU – Arm Mali-G610 MP4 GPU compatible with OpenGL ES 3.2, OpenCL 2.2, and Vulkan 1.2 APIs VPU –

Google Home Speaker apunta a un lanzamiento para finales de junio

Google podría lanzar su nuevo altavoz inteligente a finales de junio Google sorprendió a la comunidad tecnológica el pasado agosto de 2025 al presentar de manera preliminar su esperado Google Home Speaker en el evento Made by Google. Desde entonces, la compañía ha ido desvelando detalles sobre este dispositivo, conocido internamente como...

Khadas Mind Graphics 2 review – A powerful NVIDIA Geforce RTX 5060 Ti eGPU dock for the Mind 2 mini PC

Earlier this month, I received the Khadas Mind 2 (Intel Core Ultra 7 155H) mini PC with two accessories connecting through the Mind Link (PCIe x8) connector: The Mind xPlay Display and Keyboard combo, and the Mind Graphics 2 dock, adding a range of interfaces and an NVIDIA GeForce RTX 5060 Ti GPU with 16GB of VRAM. After going through the specifications, an unboxing, and a partial teardown in the first part of the review, I tested the Mind xPlay using the Mind and Mind 2 mini PCs running Windows 11 and Ubuntu 24.04. I've now had time to test the Khadas Mind Graphics 2 dock with the Mind 2 mini PC running Windows 11, so I'll report my experience with the NVIDIA GPU (3D graphics and AI), and test all features, including 2.5GbE networking, the built-in speakers, microphone array, and so on. A few gremlins and system info When

ESP32-S31 development boards unveiled for IoT, Smart Audio, and HMI applications

Two ESP32-S31 development boards are currently in the works, and the documentation is already available. The ESP32-S31 was unveiled last March, and it's the most feature-rich ESP32 wireless microcontroller so far with two RISC-V cores, Gigabit Ethernet, 2.4 GHz WiFi 6, Bluetooth, and 802.15.4 connectivity, LCD and camera interfaces, and more. The ESP32-S31-Function-CoreBoard-1 development board is based on the ESP32-S31-WROOM-3 wireless module, and offers Gigabit Ethernet, USB 2.0 OTG, and onboard audio peripherals for connected IoT applications. The ESP32-S31-Korvo-1 is a multimedia-focused development board based on the same ESP32-S31-WROOM-3 module, but featuring a dual-microphone array for speech recognition and near/far-field wake-up, two speaker connectors, a 4.3-inch LCD, a 3MP camera module, and a microSD card slot. It targets low-cost, low-power, connected audio/video and HMI applications. ESP32-S31-Function-CoreBoard-1 development board Specifications: Wireless module - ESP32-S31-WROOM-3 SoC - ESP32-S31NRV16 CPU RISC-V HP (High-performance) RV32IMAFCP CPU @ 320 MHz with FPU, SIMD, etc. RISC-V

M5Stack StopWatch ESP32-S3 devkit offers 1.75-inch touch AMOLED, microphone, speaker, and GPIO expansion

M5Stack Core StopWatch is an ESP32-S3-powered WiFi and Bluetooth development board with a 1.75-inch round AMOLED touch display, 16MB flash, and 8MB PSRAM designed for portable IoT devices, electronic badges, and wearables. The device also features a 1W speaker and a MEMS microphone for voice interaction, two programmable buttons, a vibration motor, a 6-axis IMU sensor, an RTC, and expansion capabilities through a Grove connector and GPIO headers. It's powered by a 450 mAh battery managed by an "M5PM1 multi-level power management" solution and charged over a USB-C port. M5Stack Core StopWatch specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 8MB PSRAM Wireless – WiFi 4 and Bluetooth 5.0 LE + Mesh connectivity Storage - 16MB flash Display - 1.75-inch AMOLED round touch display with 466 x 466 resolution Audio 1W speaker MEMS microphone ES8311

reComputer RK3576/RK3588 Edge AI computers are supported by reComputer AI Lab one-click deployment platform

Seeed Studio has just launched the reComputer RK3576/RK3588 Edge AI computers designed for developers, embedded AI innovators, robotics, industrial AI, vision AI, local LLMs, and real-world edge deployment. Rockchip RK3576 and RK3588 computers are pretty common these days, and the Seeed Studio models offer triple video output, dual Ethernet (GbE or 2.5GbE), several USB ports, and M.2 expansion. But the most interesting part is probably the software with Armbian-based Linux OS and support for the reComputer AI Lab platform that enables one-click deployment of AI-accelerated computer vision, audio, and LLM/LVM demos. reComputer RK3576/RK3588 specifications: SoC (one or the other) Rockchip RK3576 Octa-core CPU - 4x Cortex-A72 cores at 2.2GHz, 4x Cortex-A53 cores at 1.8GHz GPU – ARM Mali-G52 MC3 GPU NPU – 6 TOPS (INT8) AI accelerator with support for INT4/INT8/INT16/BF16/TF32 mixed operations. VPU Video Decoder: H.264, H.265, VP9, AV1, and AVS2 up to 8K at 30fps or 4K at

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