artificial intelligence (AI) News - Page 20 of 121 - CNX Software

June 19, 2024April 23, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

ESWIN EIC7700X quad-core RISC-V SoC embeds 19.95 TOPS NPU for Edge AI vision applications

Yesterday we noted Sipeed was working on the LM5A system-on-module powered by ESWIN EIC7700X quad-core RISC-V processor with a ~20 TOPS AI accelerator in order to integrate it into its Lichee Book laptop and other carrier boards. So today, I’ve decided to look into the EIC7700X SoC designed by “BEIJING ESWIN COMPUTING TECHNOLOGY CO., LTD”, or ESWIN for shorts. The EIC770X features four 64-bit RISC-V (RV64GC) cores clocked up to 1.8 GHz, an Imagination AXM-8-256 3D GPU, a 19.95 TOPS NPU, H.265/H.264 video encoder/decoder capable of handling up to 32x 1080p30 videos, various video output (HDMI + DSI) and input interfaces, dual GbE, 4-lane PCIe Gen 3, and more. ESWIN EIC7700X specifications: CPU 4x SiFive Performance P550 RV64GC RISC-V cores @ 1.4GHz (up to 1.8GHz) with Cortex-A75-class performance 32KB(I) + 32KB(D) L1 Cache 256KB L2 Cache 4MB shared L3 Cache Cache supports ECC (support SECDED) DNN Accelerator – 19.95 TOPS […]

June 15, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

NapCat Smart Video doorbell review – A battery-powered dual-band WiFi video doorbell with AI features

NapCat R112 is a 5MP video doorbell with dual-band 2.4/5GHz WiFi, AI features such as human and package detection, 2-way audio, and no subscription. It’s waterproof – rated IP65 – so it can be used outdoors, and powered by either a built-in battery or traditional wires. The company sent me a sample of the Napcat R112 for review. I’ll check out the camera in battery-powered mode only in this review, install it on the wall close to the gate of my house, and use the Napcast Android app to access the camera and answer calls. Napcat video doorbell unboxing The retail package shows a photo of the (white) base station and (black) camera and lists some of the main features such as a wide-angle camera, dual-power option, on-device human detection and package monitoring, and dual-band WiFi. There’s no monthly fee to pay to use the device after purchasing it. The […]

June 8, 2024June 8, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

UP Xtreme i14 SBC offers Intel Core Ultra 5/7 Meteor Lake SoC, up to 64GB LPDDR5 for robotics and AIoT applications

AAEON has launched the UP Xtreme i14 SBC based on a choice of Intel Core Ultra 5/7 Meteor Lake SoCs, up to 64GB LPDDR5, M.2 PCIe sockets and a SATA port for storage, 2.5GbE and GbE interfaces, four 8K capable video output ports (HDMI, DP, and USB-C), a MIPI CSI camera interface, and more. The 14th Intel Core Ultra 5/7 SoC features up to 16 cores, Intel Arc graphics, and an Intel AI Boost NPU that deliver up to 32 TOPS combined and make the UP Xtreme i14 board especially suitable for applications such as Autonomous Mobile Robots (AMR), Smart Retail, and AI-assisted healthcare imaging. UP Xtreme i14 specifications: Meteor Lake-H/U SoC (one of the other) Intel Core Ultra 7 165H 16-core (6P+8E+2LPE) processor @ 1.4 / 5.0 GHz with 24MB cache, Intel 8Xe LPG graphics @ 2.3 GHz, Intel AI Boost NPU; TDP: 28W Intel Core Ultra 7 155H […]

June 6, 2024June 11, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

GEEKOM A8 Review – Part 2: An AMD Ryzen 9 8945HS mini PC tested with Windows 11 Pro

In the first part of the review, we’ve already gone through a teardown and an unboxing of the GEEKOM A8 AI mini PC powered by an AMD Ryzen 9 8945HS processor with AMD Radeon 780M Graphics, 32GB RAM (upgradeable up to 64GB) and a 2TB M.2 NVMe SSD. We’ve now had more time to play with the GEEKOM A8, so we will report our experience with the Windows 11 Pro operating system in the second part of the review testing features, running benchmarks, evaluating networking and storage performance, testing the thermal design, and taking measurements for fan noise and power consumption. Software overview and features testing The System->About window in the Settings confirms we have an A8 Mini PC powered by a 4.0 GHz (base frequency) AMD Ryzen 9 8945HS processor with Radeon 780M Graphics and 32GB of RAM running Windows 11 Pro 23H2 build 22631.3593. HWiNFO64 provides more details […]

June 4, 2024November 24, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

$70 Raspberry Pi AI Kit combines official M.2 HAT+ with Hailo-8L AI accelerator

Raspberry Pi Limited has just launched the “Raspberry Pi AI Kit” comprised of the official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module and selling for $70 through distributors. We had seen Raspberry Pi showcase an AI camera at Embedded World 2024, so when I received an email from a representative about a “Raspberry Pi AI Kit” I thought it would be the announcement about the camera. Instead, it’s a kit comprised of existing parts with the most interesting aspects being the price and availability (hopefully) since Hailo-8/8L accelerators are mostly found in more expensive embedded/industrial solutions, and easier documentation to get started. Raspberry Pi AI Kit highlights: Supported SBC – Raspberry Pi 5 M.2 HAT+ with PCIe Gen2 x1 interfaces, M.2 Key M support, Hailo-8L AI accelerator with Up to 13 TOPS of performance M.2 2242 form factor Typical power consumption – 1.5W Thermal […]

May 31, 2024June 23, 2024 by Jean-Luc Aufranc (CNXSoft) - 20 Comments

Radxa Fogwise Airbox edge AI box review – Part 1: Specifications, teardown, and first try

Radxa Fogwise Airbox, also known as Fogwise BM168M, is an edge AI box powered by a SOPHON BM1684X Arm SoC with a built-in 32 TOPS TPU and a VPU capable of handling the decoding of up to 32 HD video streams. The device is equipped with 16GB LPDDR4x RAM and a 64GB eMMC flash and features two gigabit Ethernet RJ45 jacks, a few USB ports, a speaker, and more. Radxa sent us a sample for evaluation. We’ll start the Radxa Fogwise Airbox review by checking out the specifications and the hardware with an unboxing and a teardown, before testing various AI workloads with Tensorflow and/or other frameworks in the second part of the review. Radxa Fogwise Airbox specifications The specifications below come from the product page as of May 30, 2024: SoC – SOPHON SG2300x CPU – Octa-core Arm Cortex-A53 processor up to 2.3 GHz VPU Decoding of up to […]

May 30, 2024May 30, 2024 by Jean-Luc Aufranc (CNXSoft) - 18 Comments

Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm SoC with Cortex-X925 Cortex-A725 Cortex-A520 CPU with Immortalis-G925 GPU

Arm has just announced new Armv9 CPUs and Immortalis GPUs for mobile SoCs, as well as the Kleidi AI software optimized for Arm CPUs from Armv7 to Armv9 architectures. New Armv9.2 CPU cores include the Cortex-X925 “Blackhawk” core with significant CPU and AI performance improvements, the Cortex-A725 with improved performance efficiency, and a refreshed version of the Cortex-A520 providing 15 percent efficiency improvements. Three new GPUs have also been introduced namely the up-to-14-core Immortalis-G925 flagship GPU which delivers up to 37% 3D graphics performance improvements over last year’s 12-core Immortalis-G720, the Mali-G725 with 6 to 9 cores for premium mobile handsets, and the Mali-G625 GPU with one to five cores for smartwatches and entry-level mobile devices. Arm Cortex-X925 The Arm Cortex-X925 delivers 36 percent single-threaded peak performance improvements in Geekbench 6.2 against a Cortex-X4-based Premium Android smartphone, and about 41 percent better AI performance using the time-to-first token of tiny-LLama […]

May 23, 2024May 23, 2024 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

EdgeCortix SAKURA-II Edge AI accelerator deliver up to 60 TOPS in an 8W power envelope

SAKURA-II M.2 and PCIe Edge AI accelerators

EdgeCortix has just announced its SAKURA-II Edge AI accelerator with its second-generation Dynamic Neural Accelerator (DNA) architecture delivering up to 60 TOPS (INT8) in an 8Watts power envelope and suitable to run complex generative AI tasks such as Large Language Models (LLMs), Large Vision Models (LVMs), and multi-modal transformer-based applications at the edge. Besides the AI accelerator itself, the company designed a range of M.2 modules and PCIe cards with one or two SAKURA-II chips delivering up to 120 TOPS with INT8, 60 TFLOPS with BF16 to enable generative AI in legacy hardware with a spare M.2 2280 socket or PCIe x8/x16 slot. SAKURA-II Edge AI accelerator SAKURA-II key specifications: Neural Processing Engine – DNA-II second-generation Dynamic Neural Accelerator (DNA) architecture Performance 60 TOPS (INT8) 30 TFLOPS (BF16) DRAM – Dual 64-bit LPDDR4x (8GB,16GB, or 32GB on board) DRAM Bandwidth – 68 GB/sec On-chip SRAM – 20MB Compute Efficiency – […]