Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company’s TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator. The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU – Arm Cortex-M0+ @ 80 MHz Memory – 32 KB RAM with ECC Storage – 128 KB flash with ECC, 8 KB data flash with ECC Accelerators TinyEngine NPU for AI/ML delivering up to 2.56GOPS (Giga Operations Per Second) at 80MHz MATHACL math accelerator Peripherals USB – 1x USB 2.0 (12 Mbps) Audio […]
NXP i.MX 93W wireless MPU SiP pairs dual-core Arm Cortex-A55 processor with NXP iW610 WiFi 6, Bluetooth LE, and 805.15.4 radio
NXP i.MX 93W is the company’s first integrated wireless MPU System-in-Package (SiP) and combines a dual-core Cortex-A55 processor (NXP i.MX 93) with an iW610 WiFi 6, Bluetooth LE, and 802.15.4 tri-radio into a single chip. The 14.2 x 12 mm package also includes all the external radio components needed for wireless connectivity, replacing up to 60 discrete components on the PCB. NXP says it reduces the PCB area, simplifies PCB design and regulatory approval, and speeds up time-to-market. NXP i.MX 93W specifications: CPU Dual-Core Arm Cortex-A55 at up to 1.7 GHz Arm Cortex-M33 core at 250 MHz for real-time control GPU – 2D graphics accelerator AI accelerator – Arm Ethos-U65 microNPU Memory I/F – Up to 3.7GT/s 16-bit LPDDR4/LPDDR4X with inline ECC Storage I/F – 2x SD 3.0/SDIO 3.0/eMMC 5.1 Display Interfaces MIPI DSI up to 1080p60 LVDS up to 720p60 24-bit parallel RGB Camera Interface – 2-lane MIPI CSI up […]
Qualcomm Snapdragon Wear Elite wearable platform offers 5G RedCap, WiFi 6, Bluetooth 6.0, built-in AI accelerator
Qualcomm Snapdragon Wear Elite is described as the “world’s first Personal AI wearable platform”, and features an NPU for on-device AI delivering up to 12 TOPS of performance at low power, supporting 2B parameter models. It delivers up to 5x single-core CPU improvement and up to 7x faster GPU compared to the previous-generation Snapdragon W5+ Gen 2 Wearable Platform while offering up to 30% more battery life for multi-day battery life, thanks to a 3nm architecture. The new Snapdragon Wear Elite platform also supports fast charging with up to 50% charge in under 10 minutes. Snapdragon Wear Elite specifications: CPU – Up to 2.1 GHz GPU Qualcomm Adreno 3D GPU supporting OpenGL ES 3.2, Vulkan 1.2, and OpenCL 2.0 APIs 2.5D GPU co-processor clocked at up to 500 MHz ISP – Qualcomm Spectra AI accelerator – Qualcomm Hexagon NPU; up to 12 TOPS of AI performance; support for up tp 2B […]
Quectel SRG091X and SRG093X NXP i.MX 9 industrial AIoT modules integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios
After releasing the very powerful P895BD-AP AIoT module at CES 2026, Quectel now released two new low-power industrial AIoT modules based on NXP’s i.MX 9 series SoCs. The module integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios through the IW610G chipset, so it can simply be dropped into a PCB to create a fully compliant Matter Border Router without any RF design or coexistence concerns. While both modules share the same 46 x 41.5 mm form factor and wireless capabilities, they are different in terms of CPU power as the SRG091X is an entry-level solution built around a single-core NXP i.MX 91 processor, while the SRG093X features dual-core NXP i.MX 93 SoC, which includes a Cortex-M33 real-time core and a neural processing unit (NPU) for edge AI workloads. The module supports LPDDR4/LPDDR4X memory, eMMC storage, and various I/O options, including dual Gigabit Ethernet, USB 2.0, CAN-FD, SPI, UART, I²C/I³C, ADC, […]
iWave Systems iG-RainboW-G69M TI AM62L OSM Size-S system-on-module powers Raspberry Pi-sized SBC
Yesterday, I wrote about the Beacon AM62L SoM, one of the first system-on-module based on Texas Instruments AM62L dual-core Cortex-A53 SoC for low-power IoT and HMI applications. It turns out there’s another AM62L module compliant with the OSM Size-S standard, along with a Raspberry Pi-sized carrier board. iWave Systems iG-RainboW-G69M is a 30x30mm CPU module with 1GB or 2GB LPDDR4, 8GB eMMC flash by default, and 332 LGA contacts exposing interfaces such as RGB LCD and MIPI CSI display interfaces, dual gigabit Ethernet, I2S audio, USB 2.0 interfaces, and a range of low-speed I/Os. iWave Systems iG-RainboW-G69M specifications: SoC – Texas Instruments AM62Lx CPU – Dual-core Arm Cortex-A53 processor up to 1.25GHz Cache – 32KB L1 D-cache, 32KB L1 I-cache per core; shared 256KB L2 cache System Memory – 1GB LPDDR4, expandable up to 2GB Storage 8GB eMMC flash (other capacities available upon request) 32Kbit EPPROM 332 LGA contacts Storage […]
Beacon AM62L – A compact (38x28mm), low-power dual-core Cortex-A53 System-on-Module (SoM)
Beacon EmbeddedWorks has announced a compact (38x28mm) System-on-Module (SoM) based on the recently introduced low-power Texas Instruments Sitara AM62L dual-core Cortex-A53 SoC designed for IoT, HMI, and general-purpose applications requiring a display. The AML62L SoM features LPDDR4 or DDR4 memory, an 8-bit eMMC flash, and an optional WiFi 5 and Bluetooth 5.0 LE module. All I/Os are exposed through two board-to-board connectors, including RGB LCD or MIPI DSI display interface, two gigabit Ethernet interfaces with TSN support, USB 2.0, CAN FD, analog inputs, and more. Beacon AM62L specifications: SoC – Texas Instruments AM62L dual-core Arm Cortex-A53 processor up to 1.25GHz; 5600 DMIPS System Memory – LPDDR4, DDR4 Storage – 8-bit eMMC flash Wireless – 802.11ax WiFi 6 1×1 and Bluetooth 5.0 LE; cnxsoft: 802.11ax is WiFi 6, but the company only mentions support for WiFi 5 in other parts of the description. 2x board-to-board connector Storage – 2x 4-bit SD/SDIO […]
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 […]
ESP32JTAG – An open-source wireless JTAG and logic analyzer (Crowdfunding)
EZ32 ESP32JTAG is an open-source, wireless JTAG and logic analyzer tool that can debug both MCUs and FPGAs. It features a 16-channel 250 MHz logic analyzer and integrated UART interface, designed to replace tools such as ST-Link or Saleae analyzers in a single compact, wireless solution. The device is built around an ESP32-S3 dual-core SoC and a small FPGA with 5k logic gates and 1 Mbit of internal RAM to handle high-speed signal processing. Connectivity options include Wi-Fi 4, Bluetooth 5.0, and USB Type-C, and a small 1.83-inch LCD displays system information such as IP address and status. The ESP32JTAG is also equipped with four configurable 4-wire ports for JTAG, SWD, UART, and logic analyzer mode, and supports target voltage monitoring. EZ32 ESP32JTAG specifications: Wireless MCU – Espressif Systems ESP32-S3 CPU – dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration Memory – 512KB RAM, 8MB […]

