Maxtang SXC-ALN30 is a fanless, embedded mini PC powered by an Intel Processor N97 or Core i3-N305 Alder Lake-N processor and exposes a GPIO header and two RS232/RS485 COM ports for business applications requiring a scanner, a PoS (Point-of-Sale), a cash register, or even medical equipment. The mini PC supports single-channel DDR4 SO-DIMM memory and M.2 NVMe or SATA storage. It offers three HDMI 2.0 video outputs suitable for digital signage, two Gigabit Ethernet ports, six USB ports, a 3.5mm audio jack, and a 4-pin connector to connect an external power button. Maxtang SXC-ALN30 specifications: Alder Lake N-series SoC (one or the other) Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.2 GHz; TDP: 12W Intel Core i3-N305 octa-core processor up to 3.8 GHz with 6MB cache, 32EU Intel UHD Graphics Gen 12 @ 1.25 GHz; TDP: 15W System […]
Alif Ensemble E4, E6, and E8 Cortex-M55/A32 MCUs and MPUs feature Ethos-U85 NPU for small language models (SLM)
Alif Semiconductor unveiled the Ensemble E4, E6, and E8 dual-core Cortex-M55 Edge AI microcontrollers and fusion processors, all equipped with Arm Ethos-U85 with the ability to run small language models (SLM) on-device while consuming just 36mW of power on the E4 SKU. Besides the ability to handle generative AI workloads, the new microcontrollers also integrate two power-efficient Ethos-U55 NPUs for AI vision. They can perform power-efficient object detection in less than 2ms and image classification in less than 8ms. Other highlights include support for up to two MIPI CSI image sensors, a fully hardware-accelerated image signal processor (ISP) pipeline operating at up to 60 FPS at 2MP resolution, and a new wide memory subsystem to enable an inferencing speed of well under a millisecond. Alif Ensemble E4 Ensemble E4 specifications: CPU High-Performance Arm Cortex-M55 core @ up to 400 MHz High-Efficiency Arm Cortex-M55 core @ up to 160 MHz GPU […]
Renesas RZ/G3E Arm Cortex-A55/M33 MPU targets mid-range HMI systems requiring AI acceleration
Renesas RZ/G3E is a new member of the company’s RZ/G SoCs with a quad-core Cortex-A53 application processor, a Cortex-M33 real-time core, and an Ethos-U55 NPU for mid-range, AI-enhanced HMI (Human Machine Interface) systems with up to two 1920 x 1080 resolution displays. The industrial-grade processor features MIPI-DSI, dual-link LVDS, and Parallel RGB display interfaces, 2D and 3D graphics accelerators, H.264/H.265 video decoding, a 4-lane MIPI CSI interface, two gigabit Ethernet interfaces, 2-lane PCIe Gen3, USB 3.0/2.0, and a range of analog and digital I/Os. Renesas RZ/G3E specifications: CPU Dual- or quad-core Arm Cortex-A55 processor clocked at up to 1.8 GHz Arm Cortex-M33 system management processor clocked at up to 200 MHz GPU – Arm Mali-G52 3D GPU, Image Scaling Unit (ISC), Frame Data Processor (FDP) VPU – H.264/H.265 Video codec unit (VCD) NPU – Optional Arm Ethos-U55 NPU clocked at up to 1 GHz (512 GOPS) Memory 512KB on-chip SRAM […]
Neuro PlayGround Lite – A multichannel wireless bio-signal capture board for HCI & BCI projects (Crowdfunding)
Neuro PlayGround Lite, or NPG Lite for short, is an ESP32-C6-powered multichannel wireless bio-signal capture board designed for HCI (Human-Computer Interface) and BCI (Brain Computer Interface) projects and applications. It can capture Electrocardiography (ECG), Electromyography (EMG), Electrooculography (EOG), or Electroencephalography (EEG) signals, and the ESP32-C6-MINI-1 module used in the design supports 2.4 GHz WiFi 6, Bluetooth LE, Zigbee, and Thread for mesh networking. It also follows the Adafruit Feather form factor, so it can be expanded with FeatherWings add-ons, including the company’s Playmate boards. Neuro PlayGround Lite specifications: Wireless Module – Espressif Systems ESP32-C6-MINI-1-N4 SoC – Espressif Systems ESP32-C6 CPU Single-core 32-bit RISC-V clocked up to 160 MHz Low-power RISC-V core @ up to 20 MHz Memory/Storage – 320KB ROM, 512KB SRAM Wireless – 2.4 GHz WiFi 6, Bluetooth 5.0, and 802.15.4 radio (for Thread/Zigbee) Storage – 4MB flash Antenna – PCB antenna USB – USB Type-C port for power/charging […]
Avalue VNS-10WADÂ – A 10.1-inch slim, fanless Intel N50 touch panel PC with antibacterial housing
Avalue VNS-10WAD is a 10.1-inch, 1280×800 slim fanless touch panel PC powered by an Intel N50 CPU, which looks very similar to the BCM OFT10W-ADLN panel PCs. Both feature the same dual-core Alder Lake-N processor and a 10.1-inch touchscreen display, but the new VNS-10WAD comes with an antibacterial housing instead of an open-frame design, NFC support, and a 2MP camera. It also features 8GB LPDDR5 RAM and 64GB eMMC storage. Connectivity options include Wi-Fi 6, optional Bluetooth 5.2, Gigabit Ethernet, USB 3.0, and RS232/RS422/RS485. The device has an operating temperature range of 0–40°C, supports 12–24V DC input, and comes with PoE+ (802.3at) support for power over Ethernet. Avalue VNS-10WAD specifications: SoC – Intel Processor N50 dual-core processor up to 3.4 GHz with 6MB cache, 16EU Intel UHD Graphics; TDP: 6W System Memory – Up to 8GB LPDDR5 onboard Storage 64GB eMMC onboard MicroSD card slot Display 10.1-inch LCD, 1280×800 resolution, LED backlight, […]
82 x 50mm SoM combines NXP i.MX 8M Mini SoC with 25 TOPS DEEPX DX-M1 AI accelerator
Virtium Embedded Artists has just announced the launch of the iMX8M Mini DX-M1 system-on-module (SoM) combining an NXP i.MX 8M Mini quad-core Arm application processor with a 25 TOPS DEEPX DX-M1 AI accelerator in a compact 82 x 50mm footprint. The NXP SoC is paired with 2GB 32-bit RAM and 16GB eMMC flash, while the DEEPX NPU gets 4GB 64-bit RAM and a QSPI flash. The module also features a PMIC, a gigabit Ethernet PHY, an optional WiFI 6E and Bluetooth 5.4 module, and exposes all I/Os through a 314-pin MXM edge connector. They’ve somehow managed to pack a lot of features into such a small module. iMX8M Mini DX-M1 SOM specifications: SoC – NXP i.MX 8M Mini CPU Quad-core Cortex-A53 processor @ up to 1.6 (industrial) or 1.8 GHz (commercial) Cortex-M4F real-time core @ 400 MHz GPU Vivante GC320 2D GPU Vivante GCNanoUltra 2D/3D GPU with support for OpenVG […]
Atum A3 Nano development board combines Agilex 3 FPGA and USB-Blaster III programmer (Crowdfunding)
Terasic’s Atum A3 Nano is a compact FPGA development board built around Altera’s largest Agilex 3 FPGA (A3CZ135BB18AE7S). The FPGA features 135K logic elements, embedded memory blocks (6.89 Mbit M20K, 1.4 Mbit MLAB), and 368 multipliers, making it suitable for demanding applications such as robotics, automotive systems, smart city infrastructure, consumer electronics, and advanced image processing. Measuring just 85 x 70 mm, the Atum A3 Nano board includes 64 MB SDRAM, Gigabit Ethernet, HDMI output, a microSD card slot, and an onboard USB-Blaster III programmer accessible via a USB Type-C port. Expansion options include a 40-pin GPIO header and two PMOD headers, and the board also features user I/Os like LEDs, buttons, and switches. Additionally, it supports add-ons such as displays, cameras, wireless modules, and motor control kits. Atum A3 Nano specifications: FPGA – Altera Agilex 3 A3CZ135BB18AE7S 135,110 logic elements 6.89 Mbit M20K, 1.4 Mbit MLAB 368 18×19 multipliers 4 I/O […]
Apacer PT25R-Pi HAT SSD for Raspberry Pi 5 integrates 60GB to 480GB BGA SSD, supports CoreSnapshot 2 Backup and Recovery function
Apacer PT25R-Pi HAT SSD is an upcoming HAT for the Raspberry Pi 5 or compatible SBCs with a PCIe FFC connector that integrates a BGA SSD chip with 60 GB to 480GB capacity, and supports advanced features like CoreSnapshot 2 backup and recovery solution, write protect, instant keychange for improved security, and power loss protection. We’ve already seen many Raspberry Pi HATs for NVMe SSDs, but those are typically designed for M.2 SSD modules. The PT25R-Pi HAT SSD comes with built-in storage on the HAT, so it’s basically plug-and-play, and all the user has to do is install the HAT and connect the cable. Apacer PT25R-Pi / PT25R-Pi+ HAT SSD specifications (preliminary): Storage – Built-in 60GB to 480GB SSD chip Connection to Raspberry Pi 5 40-pin GPIO header 16-pin Raspberry Pi FFC connector limited to PCIe Gen2 x1 for optimized power usage Advanced features Optional support for CoreSnapshot 2 backup […]





