machine learning News - CNX Software

January 7, 2026 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Nordic Semi nRF54LM20B wireless SoC integrates 128 MHz Axon NPU for Edge AI workloads

Nordic Semi nRF54ML20B Arm Cortex-M33 wireless SoC is the first nRF54L microcontroller to integrate the ultra-efficient Axon Neural Processing Unit (NPU) for edge AI workloads. The NPU is said to deliver up to 7 times faster performance and up to 8 times higher energy efficiency versus (unnamed) competing wireless solutions for tasks such as sound classification, keyword spotting, and image-based detection. The Axon NPU is also about 15x faster compared to using the Cortex-M33 CPU for the same task. Other than the NPU, the nRF54LM20B offers exactly the same features as the earlier nRF54LM20A wireless microcontroller, including up to 2 MB NVM, 512 KB RAM, a 128 MHz Arm Cortex-M33 plus RISC-V coprocessor, high-speed USB, up to 66 GPIOs, and an ultra-low-power 2.4 GHz radio supporting Bluetooth LE, Bluetooth Channel Sounding, Matter over Thread, and more as shown in the nRF54L comparison table below. Like other nRF54L wireless SoCs, the […]

December 17, 2025December 18, 2025 by Debashis Das - 2 Comments

Compact development board features a single ESP32-P4 + ESP32-C5 dual-band Wi-Fi 6 module, MIPI display and camera interfaces

WTDKP4C5 S1, ESP32 P4 and ESP32 C5 WI FI6 Development Board

Just a few months back, Wireless-Tag released the WT99P4C5-S1, which combines the ESP32-P4 with an ESP32-C5 dual-band WiFi 6 module, instead of the more commonly used ESP32-C6 wireless module found on most ESP32-P4 development boards we’ve covered. The company has now released the WTDKP4C5-S1, a more compact development board built around the WT01P4C5-S1 ESP32-P4 and ESP32-C5 core module. The board supports MIPI-CSI and MIPI-DSI through the ESP32-P4, while the SDIO-connected ESP32-C5 provides dual-band Wi-Fi 6 (2.4/5 GHz) connectivity along with BLE 5, Zigbee, Thread, and Matter. Other features include a USB 2.0 Type-C OTG port, two UART debug interfaces, two 40-pin GPIO breakouts from both chips, and various power options via USB-C, a 12V DC input, or headers. The board is suitable for LVGL-based HMIs, data acquisition, industrial control, and Edge AI applications such as IPCs and smart displays. Wireless Tag WTDKP4C5-S1 specifications: Core module – Wireless Tag WT01P4C5-S1 Main […]

December 8, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)

Quarky Intellio is an ESP32-S3-based development kit designed as an educational platform for learning AI, Augmented Reality (AR), and IoT concepts. It is compatible with LEGO bricks and targets users aged 10 and older. The core AI-AR module features an SPI TFT display interface, a 5MP camera, a speaker and microphone, a microSD card slot for data storage, a USB-C port for programming and charging, servo and GPIO expansion ports, and a 1,000 mAh battery. The company offers a discovery kit with the core module only as well as a rover car kit, and since it’s compatible with LEGO, users can easily create their own robot. Quarky Intellio specifications: Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM (SiP) Storage – 384KB ROM Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE Storage – 16MB flash […]

December 5, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC (Crowdfunding)

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite neural network accelerator, all of which enable AI/ML processing at varying power/performance levels. The devkit also comes with 128 MB PSRAM, 128MB QSPI flash, a 4.3-inch capacitive touchscreen display, two digital microphones, a speaker, WiFi 6 and Bluetooth LE 6.0 wireless connectivity, motion and environmental sensors, as well as a 40-pin Raspberry Pi header and two PMOD connectors for expansion. Edgi-Talk specifications: SoC – Infineon PSOC Edge E84 CPU Arm Cortex-M55 @ 400 MHz with FPU, MPU, Arm Helium support, 256KB i-TCM, 256KB D-TCM, and 5MB SRAM Arm Cortex-M33 @ 200 MHz with 1MB SRAM, 64KB ROM GPU – Low-power 2.5D GPU NPU – Dual architecture Arm Ethos-U55 NPU + NNLITE NPU System Memory – 128 MB PSRAM Storage 128 MB […]

November 17, 2025 by Debashis Das - No Comments

Nuvoton NuMicro M55M1 low-power Arm Cortex-M55 MCU enables on-device AI with Ethos-U55 NPU

Nuvoton’s NuMicro M55M1 is a low-power AI MCU that combines a 220 MHz Arm Cortex-M55 CPU with a 111 GOPS Ethos-U55 NPU to run basic AI tasks on-device. It specifically targets small IoT and embedded devices that need low-power voice, audio, or simple image processing. The chip embeds 1.5 MB RAM, 2 MB flash, and supports external OctoSPI/HyperRAM memory. Connectivity options include Ethernet, USB-OTG, CAN-FD, I3C/I2C/SPI, SDIO, and an 8-bit camera interface, along with ADCs, DACs, comparators, PWM, and multiple low-power modes. It’s built for secure IoT applications with Arm TrustZone, secure boot, AES, and PSA Level 2 certification. Typical uses include voice triggers, smart sensors, simple vision nodes, small appliances, and industrial monitoring devices. Nuvoton NuMicro M55M1 specifications: CPU Core – 220 MHz Arm Cortex-M55 core Architecture – Armv8.1-M with Helium M-Profile Vector Extension (MVE) Arm TrustZone Technology DSP extensions Hardware Floating-point Unit (FPU), double-precision Cache – 16KB I-Cache […]

October 28, 2025October 30, 2025 by Debashis Das - 3 Comments

NXP i.MX 952 processor supports local dimming for AI-enhanced automotive and industrial HMIs

NXP i.MX 952 automotive industrial AI processor

NXP has recently introduced the i.MX 952 applications processor, a new member of the i.MX 95 series, designed for AI-powered automotive and industrial applications, including driver monitoring, child presence detection, and in-cabin HMIs. The i.MX 952 features up to four Arm Cortex-A55 cores with Cortex-M7 and M33 microcontroller cores, and is compliant with ISO 26262 ASIL B and SIL2/SIL3 standards. It integrates an eIQ Neutron NPU for AI-based sensor fusion, a 500 Mpixel/s ISP with RGB-IR support, and is the first processor with built-in local dimming for better display efficiency. Security features include EdgeLock Secure Enclave with post-quantum cryptography, meeting ISO 21434 and IEC 62443 standards. It can be interfaced with NXP’s PF09 PMIC, PF53 regulator, Trimension UWB, and IW693/AW693 Wi-Fi 6/6E SoCs, and is pin-to-pin compatible with other members of the i.MX 95 family. NXP i.MX 952 specifications: CPU Up to 4 Arm Cortex-A55 cores with 32KB + 32KB L1-cache, 64KB L2 […]

October 27, 2025October 26, 2025 by Debashis Das - No Comments

1GHz Renesas RA8D2 and RA8M2 Cortex-M85 MCUs feature up to 1MB MRAM, 2MB SRAM

Renesas RA8M2 and RA8D2 dual core Cortex M85, M33 MCU with MRAM storage

After introducing the 1 GHz RA8T2 MCU earlier this month, Renesas has recently expanded its RA8 lineup with the RA8D2 and RA8M2 groups of MCUs, where the RA8D2 is designed for graphics, HMI, and AI applications with support for display, camera, and audio interfaces, while the RA8M2 targets general-purpose, high-performance IoT and industrial control systems with networking and compute capabilities. Both MCU groups deliver a performance of up to 7,300 Coremarks, offer up to 1MB of MRAM and 2MB of SRAM, and support SiP options with up to 8MB flash. The RA8D2 adds HMI capabilities, including a 1280×800 graphics LCD controller, a 2D drawing engine, MIPI DSI and CSI-2 interfaces, and audio input support for voice and vision AI. Common features include dual Gigabit Ethernet with TSN, USB 2.0, CAN FD, I3C, and various analog peripherals. Integrated RSIP-E50D security, Helium acceleration for DSP/ML with various software support. Renesas RA8D2 and […]

October 23, 2025October 23, 2025 by Debashis Das - 18 Comments

GIGABYTE AI TOP ATOM – An NVIDIA GB10 desktop AI supercomputer with 1 petaFLOP AI, 10GbE, 128GB RAM

GIGABYTE AI TOP ATOM, NVIDIA Grace Blackwell GB10 Superchip

GIGABYTE has introduced the AI TOP ATOM, a compact desktop AI supercomputer with 1 petaFLOP of AI performance, which is very similar to NVIDIA DGX Spark. That’s because it’s also built around the NVIDIA Grace Blackwell GB10 Superchip. Housed in a 1-liter chassis, it’s designed for generative AI, large language models, and machine learning workloads directly on the desktop. The AI TOP ATOM features 128 GB of LPDDR5x unified memory, supports up to 4 TB PCIe Gen5 SSD storage. The 1,000 TOPS (1 petaFLOP) FP4 of AI compute enables it to handle models with up to 200 billion parameters, or 405 billion in a dual-system configuration. Connectivity includes 10GbE networking, Wi-Fi 7, Bluetooth 5.3, HDMI 2.1a, and multiple USB 3.2 Gen 2×2 Type-C ports. GIGABYTE AI TOP ATOM specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace […]