artificial intelligence News - CNX Software

March 25, 2025March 25, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

March 19, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025. The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]

March 18, 2025March 17, 2025 by Debashis Das - 4 Comments

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

March 13, 2025March 25, 2025 by Debashis Das - 1 Comment

Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]

March 12, 2025March 12, 2025 by Debashis Das - No Comments

Geehy G32R501 dual-core Cortex-M52 industrial AI MCU targets industrial and automotive applications

Geehy G32R501 Arm Cortex M52 Real Time MCU

Geehy Semiconductor has introduced the G32R501 Cortex-M52 industrial AI MCU, the industry’s first real-time MCU based on a dual-core Arm Cortex-M52 architecture. Designed for industrial automation, commercial power supplies, and electric vehicles. Back in 2023, we talked about the features and specifications of the Arm Cortex-M52 core, but now Geehy has introduced the G32R501 MCU with AI and DSP capabilities designed for low-cost IoT applications. This MCU features single and double-precision FPUs, an Arm Helium DSP extension, and Geehy’s Zidian Math Instruction Extension for AI/ML tasks and signal processing. It includes 640 KB Flash, 128 KB SRAM, TCM (Tightly Coupled Memory), and a six-channel DMA module for efficient data handling. The MCU also features three 12-bit ADCs (3.45 MSPS), seven 12-bit DAC comparators, and Σ-Δ filter modules to improve signal accuracy, making it ideal for motor control and real-time monitoring. With 16 high-resolution PWM channels (150-ps resolution), quadrature encoder modules, […]

March 6, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Zant – An open-source Zig SDK for neural network deployment on microcontrollers

Zant neural network deployment microcontrollers

Zant is an open-source, cross-platform SDK written in Zig and designed to simplify deploying Neural Networks (NN) on microcontrollers. It comprises a suite of tools to import, optimize, and deploy NNs to low-end hardware. The developers behind the project developed Zant (formerly known as Zig-ant) after noticing many microcontrollers lacked robust deep learning libraries, and made sure it would be on various platforms such as ARM Cortex-M or RISC-V microcontrollers, or even x86 targets. Contrary to platforms like Edge Impulse that focus on network creation, Zant is about deployment and outputs a static, highly optimized library ready to be integrated into any existing work stack. Zant highlights: Optimized Performance – Supports quantization, pruning, and hardware acceleration techniques such as SIMD and GPU offloading. Low memory footprint – Zant employs memory pooling, static allocation, and buffer optimization to work on resources-constrained targets. Ease of Integration: With a modular design, clear APIs, […]

March 4, 2025 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

The One Smart AI Pen – A ballpoint pen with Bluetooth and a microphone for translation, LLM integration, note taking (Crowdfunding)

You may have seen the “Sell me that pen. It’s AI-powered” meme if you are a social media user. It may have started as a joke, but Zakwan Ahmad made the meme become reality with “The One Smart AI Pen” which is basically a standard ballpoint pen with a battery, Bluetooth connectivity, a microSD card, and a microphone. The AI part is not exactly inside the pen per se, but in a smartphone’s app called Hearit.ai that allows the user to translate his/her voice input, use a range of LLMs such as ChatGPT, recording a meeting, or taking notes, for example, to schedule events or meetings. The One Smart AI Pen specifications: “AI chip” – Not clear why it’s needed here… unless it transcribes audio into text inside the pen (as opposed to inside the phone) Storage – MicroSD card slot inside the pen Wireless – Bluetooth 5.2 with up […]

March 3, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Qualcomm X85 5G modem powers 12.5Gbps Dragonwing Fixed Wireless Access (FWA) Gen4 Elite platform

Qualcomm X85 5G Modem Dragonwing FWA Gen4 Elite

As Mobile World Congress 2025 has just started, Qualcomm has announced the X85 5G modem with up to 12.5 Gbps peak download speed, 3.7 Gbps uploads and targeting a wide range of applications from Android smartphones to PCs, FWA routers, industrial applications with Ethernet TSN, or even railways with support for FRMCS (Future Railway Mobile Communication System) in Europe. The company also introduced the Dragonwing Fixed Wireless Access (FWA) Gen 4 Elite platform based on the Qualcomm X85 5G modem, a quad-core processor, GNSS, tri-band Wi-Fi 7, and network Edge AI coprocessor with up to 40 TOPS of NPU processing power. Qualcomm X85 5G modem Qualcomm X85 5G Modem-RF System specifications: Peak Download Speed – 12.5 Gbps (FR1 + FR2), 10.3 Gbps Peak Upload Speed – 3.7 Gbps Cellular Modem-RF – 10CC aggregation in mmWave, 6CC aggregation in 5G sub 6GHz, 400 MHz carrier aggregation (DL) Cellular Technology 5G NR […]