artificial intelligence News - Page 26 of 118 - CNX Software

February 7, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Sapphire Edge+ VPR-4616-MB mini-ITX motherboard features “AMD Embedded+” architecture with Ryzen R2314 & Versal VE2302

Sapphire Edge+ VPR-4616-MB is a new mini-ITX motherboard on the “new” AMD Embedded+ “architecture” comprised of an AMD Ryzen Embedded R2314 processor and an AMD Versal AI Edge VE2302 adaptive SoC (also called FPGA SoC…). The motherboard supports up to 64GB ECC/non-ECC DDR4 memory for the CPU, 8GB of memory for the adaptive SoC, supports SATA and NVMe storage, dual video output, 2.5GbE networking, and offers a range of USB ports and M.2 sockets for expansion. AMD Embedded+ solutions target sensor fusion, AI inferencing, industrial networking, control, and visualization applications. SAPPHIRE Edge+ VPR-4616-MB specifications: AMD Embedded+ Architecture Adaptive SoC Subsystem Main IC – AMD Versal AI Edge VE2302 with dual Arm Cortex-A72 core processor @ up to 1.6 GHz, dual-core Arm Cortex-R5F, 23 TOPS AI engine, FPGA fabric, etc… System Memory – 2x 4GB LPDDR4 Storage 1Gbit OSPI NOR flash for local boot 64 Kbit EEPROM for Board-ID Expansion 160-pin […]

February 6, 2024February 6, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

DFI MTH968 Intel Core Ultra “Meteor Lake” COM Express module to power industrial AI PCs

DFI MTH968 is a COM Express Compact Type 6 computer-on-module equipped with an Intel Core Ultra Meteor Lake processor designed for industrial AI PCs thanks to the integrated Neural Processor Unit (Intel AI Boost) and designed for industrial automation, smart transportation, and smart agriculture. It’s not quite the first COM Express module based on the new Core Ultra Meteor Lake SoCs, as we previously covered the ADLINK cExpress-MTL and conga-TC700 with a similar range of features, and the MTH968 provides another alternative with the company highlighting a fanless wide temperature design operating from -40°C to 85°C, DDR5 memory, and NVMe SSD storage (soldered on module). DFI MTH968 specifications: Meteor Lake U/H-series SoC (one or the other) Intel Core Ultra 7 165H 16-core (6P+8E+2LPE) processor @ 0.9 / 1.4 / 5.0 GHz (Turbo) with 24MB cache, 8x Xe-cores Intel Arc graphics @ 2.3 GHz, Intel AI Boost NPU; TDP: 28W Intel […]

February 5, 2024February 6, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

PANZER-PLUS fanless AIoT computer to support Ubuntu 24.04, Android 14, Yocto 5.0

Taiwan-based MayQueen Technologies has recently introduced the PANZER-PLUS fanless AIoT computer powered by an NXP i.MX 8M Plus Arm SoC with support for Ubuntu 22.04, Android 12/13, and Yocto 4.0 “Kirkstone”, but the company also claims it is working on Ubuntu 24.04 and Android 14 operating systems, as well as Yocto 5.0 “Scarthgap”. The company initially pinged us in 2018 about its NXP iMX6UL-powered PANZER fanless box PC and contacted us again last week with the new PANZER-PLUS model equipped with an NXP i.MX 8M Plus AI processor, which I found only mildly interesting until the company informed me about (planned) software support. So let’s have a closer look. PANZER-PLUS specifications: SoC – NXP i.MX8M Plus CPU – Quad-core Arm Cortex-A53 processor @ 1.8GHz MCU – Arm Cortex-M7 real-time core @ 400 MHz GPU – Vivante GC520L 2D GPU, Vivante GC7000UL 3D GPU VPU – 1080p60 hardware decoder (HEVC, H.264, […]

February 2, 2024February 1, 2024 by Debashis Das - 1 Comment

M.2 E-Key Wi-Fi 7 HAT for Raspberry Pi 5 also supports Google TPU

Mcuzone MPW7 M.2 E Key Wi Fi 7 HAT for RPi 5 with Google TPU Support

The Mcuzone MPW7 HAT for the Raspberry Pi 5 is designed to work with 2230 Wi-Fi 7 M.2 E-Key modules like the Intel BE200, AX210, and AX200, but the M.2 socket can also take Wi-Fi 6/6E modules as well as Google’s Tensor Processing Units (TPUs). It also integrates Bluetooth support via a 1.25mm USB interface on the HAT. Previously, we have covered many different HATs for the Raspberry Pi module, such as the Mcuzone MPS2280 M.2 NVMe HAT, Mcuzone MP4GM 4G LTE HAT, and the Sixfab 5G Modem Kit. Feel free to check those out if you are interested in Raspberry Pi 5 HATs. Mcuzone MPW7 M.2 E-Key Wi-Fi 7 module specification: M.2 E-Key socket supports 2230 modules WiFi modules compatibility – Supports M.2 E-Key modules like BE200, AX210, AX200, MT7922, Intel 8265C, etc… Bluetooth connectivity – 1.25mm 4-pin USB interface for Bluetooth integrated into the WiFi module connected to […]

January 30, 2024January 30, 2024 by Jean-Luc Aufranc (CNXSoft) - 31 Comments

Banana Pi BPI-M7 – A thin Rockchip RK3588 SBC with dual 2.5GbE, M.2 NVMe storage, HDMI 2.1, and more

Banana Pi BPI-M7 SBC is powered by a Rockchip RK3588 SoC and comes with a low profile design that reminds me of boards from Khadas such as the Khadas Edge2 or VIM4 SBCs but with a few extra ports thanks to the larger form factor. The Banana Pi BPI-M7 single board computer is equipped with up to 32GB RAM and 128GB eMMC flash and features an M.2 2280 socket for one NVMe SSD, three display interfaces (HDMI, USB-C, MIPI DSI), two camera connectors, dual 2.5GbE, WiFi 6 and Bluetooth 5.2, a few USB ports, and a 40-pin GPIO header for expansion. Banana Pi BPI-M7 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76 cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, […]

January 27, 2024February 15, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Arducam PiNSIGHT – A 4 TOPS AI camera board for the Raspberry Pi 5

Arducam PiNSIGHT Raspberry Pi 5 AI Camera module

Arducam PiNSIGHT is an AI camera board designed for the Raspberry Pi 5 equipped with a 12.3MP auto-focus module and an Intel Movidius Myriad X-powered SoM delivering up to 4 TOPS and supporting Intel OpenVINO deep learning models. The PiNSIGHT “AI Mate” is mounted underneath the Raspberry Pi 5 to which it is connected through a 15-cm USB-A to USB-C cable. The case is made of metal and acts as a heatsink, and Arducam told CNX Software it dissipates heat enough to cool down the Raspberry Pi 5, and they don’t think the active cooler is needed anymore. In other words, it also acts as a fanless enclosure albeit it’s not in contact with the CPU, so whether it’s enough probably depends on your use case… Arducam PiNSIGHT “AI Mate” specifications: AI accelerator – Luxonis OAK-SoM based on Intel Movidius Myriad X vision processing unit delivering up to 4 TOPS […]

January 25, 2024January 26, 2024 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Vivante NPU (found in Amlogic A311D) gets its open-source driver upstreamed to Mesa

The Teflon project is an open-source TensorFlow Lite delegate that currently supports VeriSilicon Vivante NPU and aims to support several other AI accelerators over time. The project has recently been upstreamed to Mesa meaning AI inference with open-source software will work out of the box in supported hardware once Mesa 24.1 is released in May 2024. Teflon relies on the Etnaviv open-source driver better known for working with Vivante GPUs found, for instance, in NXP i.MX processors, but Tomeu Vizoso also worked on implementing Vivante NPU support since May 2022 thanks to a sponsorship from Libre Computer and documented the development progress on this blog. The VeriSilicon Vivante “VIPNano-QI.7120” 5 TOPS NPU is found in the Amlogic A311D processor, and Tomeu tested Teflon with the Etnaviv NPU drive on both the Libre Computer AML-A311D-CC Alta and Khadas VIM3 single board computers with decent performance although still slower than with the […]

January 19, 2024 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

$16 Grove Vision AI V2 module features WiseEye2 HX6538 Arm Cortex-M55 & Ethos-U55 AI microcontroller

Grove Vision AI V2 XIAO ESP32-C3 OV5647 camera

Seeed Studio’s Grove Vision AI V2 module is based on the HiMax WiseEye2 HX6538 dual-core Cortex-M55 AI microcontroller with an Arm Ethos-U55 microNPU and features a MIPI CSI connector for an OV5647 camera. It is designed for AI computer vision applications using TensorFlow and PyTorch frameworks and connects to hosts such as Raspberry Pi SBCs, ESP32 IoT boards, Arduino, and other maker boards over I2C. We tested the previous generation Grove Vision AI module based on the 400 MHz HX6537-A DSP-based AI accelerator using the SenseCAP K1100 sensor prototype kit with LoRaWAN connectivity, and managed to have the kit perform face detection and send the data over LoRaWAN. The Grove Vision AI V2 builds on that but with a modern Arm MCU core and more powerful AI accelerator that can run models such as Mobilenet V1/V2, Efficientnet-lite, and Yolo v5 & v8 using the SenseCraft low-code/no-code platform. Grove Vision AI […]