machine learning News - Page 2 of 25 - CNX Software

November 17, 2025June 13, 2026 by Debashis Das - 1 Comment

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 […]

October 17, 2025October 16, 2025 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Google’s open-source, RISC-V-based Coral NPU is integrated into Synaptics SL2610 Edge AI SoCs

Google has very recently introduced Coral NPU full-stack, open-source RISC-V-based platform for always-on AI on low-power edge devices and wearables. The first chip to integrate the Coral NPU is the upcoming Synaptics Astra SL2610 family. Google Coral NPU The Coral NPU aims to address the software fragmentation on entry-level AI accelerators that makes them difficult to program. By releasing an open-source NPU and associated source code, Google hopes its design will be adopted by silicon vendors, reduce software fragmentation over time, and help machine learning (ML) developers bring products to market faster. Building on the works on the Coral platform, the new, open-source Coral NPU is comprised of three main components: A scalar core – A lightweight, C-programmable RISC-V core that manages data flow to the back-end cores. It uses a simple “run-to-completion” model for ultra-low power consumption and traditional CPU functions. A vector execution unit – A single instruction […]

September 1, 2025September 1, 2025 by Debashis Das - No Comments

Ambiq Apollo510B ultra-low-power Cortex-M55 Edge AI MCU adds Bluetooth LE 5.4

After the release of Apollo510, Ambiq has released Apollo510B, an ultra-low power Edge AI MCU that adds a 48 MHz network coprocessor for Bluetooth 5.4 LE (BLE) support. The new SoC combines Cortex-M55 with Helium MVE for AI/ML acceleration, secureSPOT 3.0 security, and graphiqSPOT 2.0 graphics for connected wearables, healthcare devices, and industrial IoT applications. The Apollo510B features 3.75MB of system RAM, 4MB of non-volatile memory, and a 12-bit ADC. It supports MIPI DSI and Quad SPI interfaces for displays, and offers audio capabilities such as always-on low-power ADC, a PDM stereo microphone interface, and dual multichannel I²S ports with asynchronous sample rate conversion. Peripheral options extend to USB 2.0 HS/FS, dual SDIO/eMMC controllers, multiple SPI and I²C masters, UART interfaces with flow control, and various GPIOs. Ambiq Apollo510B specifications: MCU Core Arm Cortex-M55 core at up to 250 MHz with Helium (MVE) vector instructions, FPU, TrustZone, MPU Caches/TCM – […]

August 21, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Snapdragon W5+ and W5 Gen 2 wearable platforms gain NB-NTN satellite support

Snapdragon W5 Gen2 features NB-NTN satellite

Qualcomm Snapdragon W5+ and W5 Gen 2 are new wearable platforms adding NB-NTN satellite support for emergencies to the Snapdragon W5+/W5 wearable platforms introduced in 2022, and found in various WearOS smartwatches and the Beacon W5 SoM. The W5+/W5 Gen 2 platforms still feature a 1.7 GHz quad-core Cortex-A53 processor, an Adreno A702 GPU, an AON QCC5100 ML co-processor (W5+ Gen 2 only), MIPI DSI and MIPI CSI interfaces, cellular connectivity, dual-band WiFi, Bluetooth 5.3, GNSS, and optional NFC support. The main changes are NB-NTN support, an upgrade to 3GPP Rel 17 with Cat 1Bis, a 20% (or 30% depending on where you read) smaller RF frontend, and 50% more accurate GPS in urban or deep canyon areas. Snapdragon W5+/W5 Gen 2 specifications: SWS5100 SoC CPU – Quad-core Cortex-A53 processor @ up to 1.7 GHz GPU – Qualcomm Adreno A702 @ up to 1 GHz with OpenGL ES 3.1 API […]

August 9, 2025August 9, 2025 by Debashis Das - 2 Comments

Banana Pi BPI-F4 – An industrial Edge AI SBC powered by Sunplus SP7350 SoC with 4.1 TOPS NPU

The Banana Pi BPI-F4 is a compact industrial-grade Edge AI development board built around the Sunplus SP7350 quad-core Cortex-A55 SoC with a 4.1 TOPS NPU. Compared to the SunPlus SP7021-based BPI-F2S SBC, the new BPI-F4 supports additional interfaces through terminal blocks and is suitable for AI vision, robotics, and control systems. The board supports booting from microSD or onboard eMMC and provides USB 3.0/2.0 ports, HDMI video output, Ethernet, and a MIPI CSI input for an OV5647 camera. Connectivity options include Gigabit Ethernet, Wi-Fi, and Bluetooth. Other features include seven terminal blocks for GPIO, ADC, SPI, I²C, UART, and PWM, jumper-based power and USB mode selection, and automatic boot. Banana Pi BPI-F4 specifications: BPI-F4-Core board SoC – Sunplus SP7350 (C3V) CPU Quad-core Cortex-A55 @ 2.1 GHz Cortex-M4 MCU @ up to 400MHz for always-on sub-system VPU – H.264 video decoding/encoding AI Accelerator – 4.1 TOPS NPU @ 900 MHz (Sometimes […]