artificial intelligence (AI)

Posted on by Debashis Das - 2 Comments on Arduino cloud editor gets Claude-powered AI assistant trained on Arduino docs and libraries

Arduino cloud editor gets Claude-powered AI assistant trained on Arduino docs and libraries

Arduino Cloud editor with the new Arduino AI Assistant

Arduino recently announced that their Cloud Editor now includes an AI assistant based on Anthropic’s Claude large language model (LLM). The AI assistant is designed to make the coding experience smoother by providing intelligent, context-aware support directly within the Cloud Editor. This tool understands your specific board, libraries, and project setup, and generates code and fixes bugs. It also explains functions without requiring users to leave the development environment. Additionally, it reduces repetitive tasks by creating reliable boilerplate code and accelerates development with natural language prompt-based sketch generation, instant debugging, and detailed code explanations.  These features make this tool useful for hobbyists, educators, and developers seeking to boost productivity and creativity in embedded projects. – Main features of Arduino’s AI assistant Platform – Integrated into Arduino Cloud Editor (app.arduino.cc) Compatibility – Exclusive to Arduino Cloud Editor (not available in the desktop IDE) AI Model – Powered by Anthropic Claude LLM […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 12 Comments on Muse Pi Pro is a feature-packed, credit card-sized SpacemIT M1 RISC-V SBC with HDMI, GbE, 4x USB, M.2 and mPCIe sockets

Muse Pi Pro is a feature-packed, credit card-sized SpacemIT M1 RISC-V SBC with HDMI, GbE, 4x USB, M.2 and mPCIe sockets

Muse Pi Pro

Muse Pi Pro is a feature-packed, credit card-sized SBC powered by the SpacemIT M1 octa-core 64-bit RISC-V AI SoC with a 2 TOPS NPU and equipped with up to 16GB LPDDR4x and 128GB eMMC flash. The single board computer features gigabit Ethernet and a WiFi 6 + Bluetooth 5.3 module for connectivity, HDMI and MIPI DSI display interfaces, two MIPI CSI interfaces, a 3.5mm audio jack,  four USB 3.0 ports, an M.2 socket for an NVMe SSD or wireless module, a mini PCIE socket for WiFi and 4G LTE/5G cellular connector, and a 40-pin GPIO header for expansion. That’s quite a lot of features for such a compact board. Muse Pi Pro specifications: SoC – SpacemiT M1 (similar to SpacemIT K1, but clocked at 1.8 GHz) CPU – 8-core X60 RISC-V processor @ 1.8 GHz GPU – Imagination IMG BXE-2-32 with support for OpenGL ES3.2, Vulkan 1.2, OpenCL 3.0; 20 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on AAEON COM-MTHC6 COM Express Type 6 Meteor Lake-H module offered with up to 45W Intel Core Ultra 9 185H processor

AAEON COM-MTHC6 COM Express Type 6 Meteor Lake-H module offered with up to 45W Intel Core Ultra 9 185H processor

COM Express Type 6 Intel Core Ultra 9 185H

AAEON’s COM-MTHC6 COM Express Type 6 module is powered by the Intel Meteor Lake H processor series with a choice between the Core Ultra 9 185H, Core Ultra 7 155H, or Core Ultra 5 125H CPUs. The module supports up to 96GB DDR5 memory, features an optional BGA SSD, two MIPI CSI connectors, and two standard 220-pin B2B connectors exposing interfaces such as PEG 4.0 and PCIe Gen4, and offers a 9V to 16V power input range. AAEON claims the COM-MTHC6 is the world’s first COM Express Type 6 equipped with a 45W Meteor Lake-H CPU, such as the Core Ultra 9 185H. I can indeed see similar COM Express modules like the ADLINK cExpress-MTL only ship with 15W or 28W parts. AAEON COM-MTHC6 specifications: Meteor Lake-H SoC Intel Core Ultra 5 125H 14-core (4P+8E+2LPE) processor @ up to 4.5 GHz with 18MB cache, 7x Xe-cores Intel Arc graphics @ […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

Metis Compute Board

Axelera Metis Computer Board is a Rockchip RK3588 mini-ITX motherboard equipped with a Metis AIPU (AI Processing Unit) capable of delivering up to 214 TOPS, 16GB LPDDR4 memory for the CPU, and 4GB LPDDR4x RAM for the AI accelerator. I first came across the Axelera Metis AIPU in M.2 and PCIe card in 2023, and I was rather impressed with the advertised 214 TOPS of AI performance promised in this form factor and relatively affordable $149 price tag considering the price-to-performance ratio. At the time, it was still hard to source the chip and module due to limited quantities, and in 2024, it became easier to evaluate the solution with the Axelera Metis PCIe Arm AI evaluation kit based on a Firefly ITX-3588J mini-ITX motherboard equipped with a 214 TOPS Metis AIPU PCIe card. The new Metis Compute Board is similar, but in a more compact form factor since the […]

Posted on by Sponsored Post - No Comments on Harnessing the Power of AI in Industrial Automation (Sponsored)

Harnessing the Power of AI in Industrial Automation (Sponsored)

ModBerry 500 CM5 AI predictive maintenance

The industrial IoT (IIoT) landscape is undergoing a transformative shift, driven by advancements in artificial intelligence (AI). Among the frontrunners of this revolution is the ModBerry 500 CM5, a cutting-edge IoT platform enhanced by optional AI modules like the Hailo-8L and Geniatech AIM-M2. With the integration of these modules, the ModBerry 500 CM5 becomes a powerhouse for industrial automation, offering unparalleled performance and scalability. Let’s dive into the exciting capabilities of this innovative combination and explore the current and future applications of AI in IIoT. ModBerry 500 CM5: The Core of Smart Industrial Automation At the heart of the ModBerry 500 CM5 is the powerful Raspberry Pi Compute Module 5, featuring a quad-core Cortex-A76 processor and support for up to 16GB of RAM. When paired with AI acceleration modules like the Hailo-8L and Geniatech AIM-M2, the ModBerry 500 CM5 evolves from an IoT hub into a sophisticated AI-enabled system capable […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Allwinner T536 quad-core Arm Cortex-A55 & RISC-V industrial SoC supports ECC RAM, up to 3 TOP AI accelerator

Allwinner T536 quad-core Arm Cortex-A55 & RISC-V industrial SoC supports ECC RAM, up to 3 TOP AI accelerator

Forlinx OK536-C Allwinner T536 development board

Allwinner T536 SoC features four Cortex-A55 cores, a 600 MHz RISC-V core, and a low-power RISC-V for power management, as well as support for ECC memory and an optional NPU with up to 3 TOPS of AI performance. The processor is designed to work in the industrial temperature range (-40 to +85°C) and offers plenty of I/Os, including two Gigabit Ethernet, a USB 3.1 DRD and PCIe Gen2 conbo, MIPI DSI, RGB, and LVDS display interfaces, paralle CSI and MIPI CSI camera interfaces, CAN FD, SPI, I2C, UART, several ADC, and more. The SoC is designed for interactive terminals, smart manufacturing, and other Edge AI industrial equipment. Allwinner T536 specifications: CPU cores Quad-core Arm Cortex-A55 @ up to 1.6GHz Single-core E907 RISC-V core @ up to 600 MHz Single-core E902 RISC-V MCU for low-power management GPU – G2D hardware accelerator with rotate, mixer, and scaler functions ISP Max resolution – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on ADLINK COM-HPC-mMTL – A COM-HPC Mini Computer-on-Module with up to 16-core Intel Core Ultra 7 165H processor

ADLINK COM-HPC-mMTL – A COM-HPC Mini Computer-on-Module with up to 16-core Intel Core Ultra 7 165H processor

COM-HPC-mMTL 16-core Intel Core Ultra COM-HPC Mini

ADLINK COM-HPC-mMTL is an industrial-grade COM-HPC Mini Computer-on-Module based on Intel Meteor Lake processors up to the 16-core Intel Core Ultra 7 165H featuring Intel Arc Graphics with eight Xe cores, Intel AI Boost NPU up to 8.2 TOPS, and 16x PCIE Gen4 lanes. The COM-HPC R1.2-compliant Mini size module also supports up to 64GB LPDDR5x memory soldered directly onto the board, an optional NVMe BGA SSD, and features two SATA interfaces, two 2.5 Gbps Ethernet, multiple DDI/USB4, and USB 3.0/2.0 through the standard 400-pin board-to-board connector of the 95x70mm CoM. ADLINK COM-HPC-mMTL specifications: Meteor Lake H/U SoC (one or the other) Intel Core Ultra 7 165H 16-core (6P+8E+2LPE) processor @ up to 5.0 / 3.8 / 2.5 GHz with 24MB cache, 8x Xe-cores Intel Arc graphics @ 2.35 GHz, Intel AI Boost NPU; TDP: 28W Intel Core Ultra 7 155H 16-core (6P+8E+2LPE) processor @ up to 4.8 / 3.8 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

NVIDIA Jetson Carrier Board for drones

Aerium System’s Lumen is a carrier board for NVIDIA Jetson SO-DIMM modules designed specifically for drones and robots with a range of low-profile connectors for I/Os for USB, UART, I2C, etc…, and three M.2 sockets for storage and wireless expansion. It targets the same applications as ARK Electronics’ NDAA-compliant Jetson Orin Nano/NX carrier board for drones we covered last year, but it’s not sold as a full kit and lacks NDAA-compliance. On the positive side, it is quite smaller and lighter, so it might be better suited to smaller and/or less complex drones or robots that may still benefit from Vision AI acceleration. Aerium Lumen specifications: Compatible system-on-modules NVIDIA Jetson Nano NVIDIA Jetson Orin NX NVIDIA Jetson Orin Nano NVIDIA Jetson Xavier NX NVIDIA Jetson TX2 NX Potentially other Jetson-compatible SO-DIMM modules like the Mixtile Core 3588E, but those are not listed by the company. Storage MicroSD card slot M.2 Key-B […]

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