artificial intelligence

Posted on by Leo Zachary - 24 Comments on Muse Book laptop features SpacemiT K1 octa-core RISC-V AI processor, up to 16GB RAM

Muse Book laptop features SpacemiT K1 octa-core RISC-V AI processor, up to 16GB RAM

Muse Book RISC-V laptop with SpacemiT K1 SoC

SpacemiT, a chip design company from China with RISC-V as its core technology, recently unveiled the Muse Book laptop based on the K1 octa-core RISC-V chip. Unlike our daily laptops, it has many interesting unique features and is mainly sold to hardware engineers and DIY enthusiasts. This Muse Book runs the Bianbu OS operating system based on the Debian distribution and optimized to run on the SpacemiT K1 octa-core RISC-V SoC. Let’s first take a look at its external interfaces. On the left side of the laptop, there are two USB Type-C interfaces, a USB 3.0 Type-A port, a 3.5mm headphone jack, a microSD card slot, and a reset pinhole. The 8-pin header on the right side of the laptop is quite interesting, and SpacemiT hopes the Muse Book can become one of the most convenient hardware development platforms for RISC-V.  In addition to the power pins, users will find […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G

QNAP TS-216G 2-bay NAS features a quad-core Arm Cortex-A55 processor with an NPU for AI-powered photo management, 4GB RAM, 2.5GbE and GbE networking ports, two hot-swappable 3.5-inch SATA bay, and a few USB ports. It looks to be an update to the Rockchip RK3566-powered QNAP TS-133/TS-223 with more memory (4GB vs 2GB) and more advanced networking capability (2.5GbE+GbE vs GbE only), while still keeping the object and face recognition capabilities. QNAP TS-216G specifications: SoC – Unnamed but likely Rockchip RK3566 CPU – Quad-core Cortex-A55 clocked at up to 2.0 GHz GPU – Mali-G52 Neural Processing Unit (NPU) Hardware-accelerated Transcoding Encryption Engine System Memory – 4 GB RAM Storage 4 GB eMMC flash (dual boot OS protection) 2x 3.5-inch SATA III bay also supporting 2.5-inch SATA SSDs; hot-swappable Networking 2.5GbE RJ45 jack Gigabit Ethernet jack Wake-on-LAN (WoL) and Jumbo Frame support Number of Concurrent Connections (CIFS) – Up to 200 USB […]

Posted on by Debashis Das - No Comments on Synaptics Astra platform takes SL1620, SL1640, or SL1680 Arm CPU module for Edge AI applications

Synaptics Astra platform takes SL1620, SL1640, or SL1680 Arm CPU module for Edge AI applications

Astra Machina Foundation Series Dev Board

Synaptics has unveiled its new Astra platform with a range of SoC and a development kit for edge AI applications. These new processors and a supporting development kit are built to provide out-of-the-box AI capabilities for IoT devices, reducing reliance on cloud-based AI. This new Synaptics Astra Platform is built around three main SoCs. The SL1680 is built for multi-modal IoT applications and features a quad-core Arm Cortex-A73 CPU, dedicated 7.9 TOPS NPU, and 4K video. The SL1640 is a cost and power-optimized SoC with a quad-core Cortex-A55 CPU and 1.6+ TOPS NPU. Finally, the SL1620 is a graphics and AI accelerator with a quad-core Cortex-A55 CPU and dual-core Imagination BXE-2-32 GPU but does not feature an NPU. The development kit features a module design where the new swappable compute modules allow flexible configurations. The devkit will support open Yocto Linux distribution and Synaptics AI toolkit for quick AI integration. […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Pivistation 5 – A Raspberry Pi 5 Camera Kit to quickly get started with computer vision (Crowdfunding)

Pivistation 5 – A Raspberry Pi 5 Camera Kit to quickly get started with computer vision (Crowdfunding)

PitiStation 5 Raspberry Pi 5 camera kit

Arducam Pivistation 5 is an all-in-one Raspberry Pi 5 camera kit that aims to provide a turnkey hardware and software solution to quickly get started with computer vision applications and offered with a choice of camera sensors designed for various applications. The system looks like a Raspberry Pi 5 SBC housed in the official case fitted with a camera. Three models are available, namely the “Hawkeye” featuring a high-resolution 64MP autofocus camera, the “Darksee” with an 8MP camera sensor with ultra low-light sensitivity, and the “Klarity” with a 20MP camera with fixed focus and a large 1-inch sensor. Pivistation 5 specifications All the cameras above rely on a rolling shutter, but the company is also working on the upcoming Arducam Pivistation 5 Swift model that includes a global shutter for robotics applications. Besides the pre-assembled hardware, the Arducam Pivistation 5 family aims to quicken the development process with pre-installed software […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Firefly AIBOX-1684X compact AI Box delivers 32 TOPS for large language models, image generation, video analytics, and more

Firefly AIBOX-1684X compact AI Box delivers 32 TOPS for large language models, image generation, video analytics, and more

SOPHON BM1684X AI Box

Firefly AIBOX-1684X is a compact AI Box based on SOPHON BM1684X octa-core Arm Cortex-53 processor with a 32 TOPS AI accelerator suitable for large language models (LLM) such as Llama 2, Stable Diffusion image generation solution, and traditional CNN and RNN neural network architectures. Firefly had already released several designs based on the SOPHON BM1684X AI processor with the full-featured Firefly EC-A1684XJD4 FD Edge AI computer and the AIO-1684XQ motherboard, but the AIBOX-1684X AI Box offers the same level of performance, just without as many interfaces, in a compact enclosure measuring just 90.6 x 84.4 x 48.5 mm. AIBOX-1684X AI box specifications: SoC – SOPHGO SOPHON BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3 GHz TPU – Up to 32TOPS (INT8), 16 TFLOPS (FP16/BF16), 2 TFLOPS (FP32) VPU Up to 32-channel H.265/H.264 1080p25 video decoding Up to 32-channel 1080p25 HD video processing (decoding + AI analysis) Up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on IBASE ISR500 fanless Edge AI computer and digital signage player features MediaTek Genio 510 or 700 SoC

IBASE ISR500 fanless Edge AI computer and digital signage player features MediaTek Genio 510 or 700 SoC

Mediatek Genio 700 Edge AI computer

IBASE Technology ISR500 is a fanless digital signage player and Edge AI computer powered by either a MediaTek Genio 510 hexa-core Cortex-A78/A55 processor or Genio 720 octa-core Cortex-A78/A55 SoC with a real-time AI performance up to 3.2 TOPS. The system ships with 4GB RAM and 64GB eMMC flash, features two HDMI video outputs, a gigabit Ethernet port, a few USB ports, a 3.5mm audio jack, a COM port, and an M.2 socket for wireless expansion. IBASE ISR500 specifications: SoC (one or the other) MediaTek Genio 700 (MT8390) Octa-core CPU – Dual-core Cortex-A78 @ 2.2GHz with 256KB L2 cache, hexa-core Cortex-A55 @ 2.0GHz with 128KB L2 cache, shared 2MB L3 cache GPU – Arm Mali-G57 MC3 with support for OpenGL ES 1.1/2.0/3.2, Vulkan 1.0/1.1, OpenCL 2.2 AI accelerator – Tensilica VP6 MediaTek APU 3.0 up to 3.2 TOPS VPU Video Encode – 4Kp30 H.265/H.264 Video Decode – 4Kp75, AV1, VP9, H.265/H.264 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on STMicro LSM6DSV32X Edge AI motion sensor aims to extend battery life in wearables, trackers, and activity monitors

STMicro LSM6DSV32X Edge AI motion sensor aims to extend battery life in wearables, trackers, and activity monitors

STMicro LSM6DSV32X AI motion sensor

STMicro LSM6DSV32X is a new low-power 6-axis inertial module with the company’s machine-learning core (MLC) with AI algorithms based on decision trees, a 3-axis accelerometer with a full-scale range of 32g, and a 4000 degrees-per-second gyroscope designed to measure intensive movements, impacts, and freefall height (estimation). The features of the sensors enable it to lower the power consumption for functions such as gym-activity recognition to under 6µA, while 3D orientation tracking consumes just 30µA when using STMicro’s Sensor Fusion Low-Power (SFLP) algorithm. It will be found in a range of battery-powered devices such as consumer wearables, asset trackers, and impact and fall alarms for workers or the elderly. STMicro LSM6DSV32X specifications: Triple-channel architecture for UI (user interface), EIS, and OIS data processing Data storage – Smart FIFO up to 4.5 KB Sensors Accelerometer – ±4/±8/±16/±32 g full scale Gyroscope – ±125/±250/±500/±1000/±2000/±4000 dps full scale Embedded temperature sensor Host interfaces SPI, […]

Posted on by Dennis Mwihia - No Comments on Ambarella CV75S AI SoC brings Vision Language Models (VLM) and Vision Transformer Networks to cameras

Ambarella CV75S AI SoC brings Vision Language Models (VLM) and Vision Transformer Networks to cameras

ambarella cv75s

Ambarella has been expanding its AI SoC portfolio, and the latest addition is the CV75S family of 5nm chips. The company claims this family introduces the most cost- and power-efficient SoC option for running the latest AI-based image processing like vision language models (VLMs) and vision transformer networks in security, robotics, conferencing, and sports cameras. The CV75S family is the first in Ambarella’s lineup to integrate the latest CVflow 3.0 AI engine, which results in 3 times the performance compared to the former generation. CVflow 3.0 is a chip architecture designed based on a deep understanding of the core computer vision algorithms. It features a dedicated vision-processing engine that Ambarella has programmed using a high-level algorithm description and works with Tensorflow, Caffe, and PyTorch. This engine enables the SoC to perform trillions of operations each second at a fraction of the power consumption of leading GPUs and general-purpose CPU solutions. These chips also […]

UP 7000 x86 SBC