# Artificial Intelligence (AI) Published articles for Artificial Intelligence (AI). This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more DevFeed: [AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-16T12:00:59Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [intel](), [Intel Core](), [ddr5](), [M.2 NVMe](), [pcie](), [Graphics](), [Specifications]() Tags: [10gbe](), [2-5gbe](), [4g-lte](), [5g](), [aaeon](), [artificial-intelligence-ai](), [automotive](), [ddr5](), [graphics](), [hardware](), [industrial](), [intel-core](), [linux](), [m-2-nvme](), [mini-itx](), [motherboard](), [nvme](), [panther-lake](), [pcie](), [single-board-computer](), [smart-city](), [specifications](), [ubuntu](), [windows-11]() ### AI overview CNX Software reports on the AAEON MIX-PTLWV1, an industrial mini-ITX motherboard built around Intel Core Ultra Series 3 Panther Lake processors. It supports up to 128GB of DDR5 memory, NVMe storage, four DisplayPort outputs, optional wireless and cellular modules, multiple Ethernet ports including up to two 10GbE connections, serial interfaces, and PCIe expansion. ### Source excerpt AAEON MIX-PTLWV1 is an industrial mini-ITX motherboard based on Intel Core Ultra Series 3 "Panther Lake" processors with up to two 10GbE and two 2.5GbE RJ45 jacks, and four 4K-capable DisplayPort video outputs. The motherboard also supports up to 128GB DDR5 C/SO-DIMM memory, M.2 NVMe SSD storage, optional WiFi and Bluetooth, and/or 4G LTE/5G cellular via M.2 modules, a PCIe Gen4 x8 slot for expansion, six serial interfaces, 12V-24V wide DC input, and more. AAEON MIX-PTLWV1 specifications: SoC - Intel Panther Lake processor (PTL-H404/PTL-H484 families) with Intel Xe LPG graphics; TDP: 15 to 25W System Memory - Up to 128GB via 2x 262-pin DDR5 C/SO-DIMM sockets up to 6400MHz (H404 SKU) or 7200MHz (H484 SKU) Storage - M.2 2280 M-Key (PCIe Gen4 x4) socket for NVMe SSD Display Interfaces 4x DisplayPort 1.4 up to 4096 x 2160 @ 60Hz 40-pin LVDS/eDP co-layout connector for Default: 18/24 bit dual-channel LVDS up [...] The post AAEON MIX-PTLWV1 Panther Lake industrial mini-ITX motherboard offers quad DisplayPort, dual 10GbE, and more appeared first on CNX Software - Embedded Systems News. ## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-16T00:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Artificial Intelligence](), [Embedded Systems](), [AI Inference](), [V](), [Arm](), [cpu](), [Open Source](), [Ethernet](), [Linux](), [Toit]() Tags: [ai](), [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cpu](), [debug](), [edge-ai](), [embedded](), [ethernet](), [hardware](), [inference](), [kickstarter](), [linux](), [module](), [open-source](), [real-time](), [risc-v](), [robotics](), [rt-thread](), [soc](), [sophgo](), [tinyml](), [usb](), [video](), [vision]() ### AI overview The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread. ### Source excerpt The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads DevFeed: [LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-10T02:25:10Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Hardware](), [intel](), [cpu](), [GPU](), [ddr5](), [x86](), [SOC]() Tags: [2-5gbe](), [3dmark](), [artificial-intelligence-ai](), [benchmarks](), [cpu](), [ddr5](), [development-board](), [devkit](), [dfrobot](), [edge-ai](), [embedded-systems](), [geekbench](), [gpu](), [hardware](), [intel](), [intel-core](), [linux](), [lunar-lake](), [som](), [ubuntu](), [wifi-6](), [wifi-7](), [windows-11]() ### AI overview CNX Software reports on the LattePanda Mu Ultra, an x86 compute module using Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processors with 16GB of memory. It targets robotics, industrial automation, portable instruments, and vision and edge AI applications, with up to 115 TOPS of stated AI performance. ### Source excerpt The LattePanda Mu Ultra is an x86 Compute Module powered by an Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processor and equipped with 16GB of DDR5 memory. Offered in the same compact 69.6 x 60mm form factor as the earlier LattePanda Mu Alder Lake-N system-on-module (N100 or Core i3-N305), it delivers much higher performance, including up 115 TOPS of AI performance. Target applications include robotics, industrial automation, portable instruments, vision AI, and a range of Edge AI applications. LattePanda Mu Ultra Specifications: Lunar Lake SoC (one or the other) Intel Core Ultra 5 Processor 226V CPU - Octa-core processor up to 4.5 GHz GPU - 7x Xe-core Intel Arc 130V GPU up to 1.85 GHz AI - 40 TOPS Intel AI Boost; combined up to 97 TOPS Intel Core Ultra 7 Processor 256V CPU - Octa-core processor up to 4.8 GHz GPU - 8x Xe-core Intel Arc [...] The post LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads appeared first on CNX Software - Embedded Systems News. ## Evolving With Agentic Risk: Updating Our Integrated AI Security & Safety Framework DevFeed: [Evolving With Agentic Risk: Updating Our Integrated AI Security & Safety Framework]() Original publisher: [Read original article]() Author: Amy Chang Published: 2026-09-09T17:59:22Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Artificial Intelligence](), [Securing AI](), [ai security](), [prompt injection](), [Responsibility & Safety](), [Jailbreak]() Tags: [agentic](), [ai](), [ai-security](), [artificial-intelligence-ai](), [governance](), [jailbreak](), [policy](), [prompt-injection](), [safety](), [security]() ### AI overview The article announces v2 of an integrated AI safety and security taxonomy. It introduces Agentic Autonomy Failures to address risks arising when agents plan, use tools, run code, move money, delegate work, expand permissions, replace goals, or manipulate success metrics. It also merges prompt injection and jailbreak into a unified treatment because their classification and defenses substantially overlap. ### Source excerpt Nine months ago, we introduced the Integrated AI Safety and Security Framework as a unified and comprehensive taxonomy to help organizations identify and mitigate the security and safety risks unique to AI systems. Existing frameworks remained..... ## Arm CSS for Mobile 2 "AI-Native" platform: Arm C2-Ultra and C2-Pro CPU cores, Mali G2-Ultra NX GPU DevFeed: [Arm CSS for Mobile 2 "AI-Native" platform: Arm C2-Ultra and C2-Pro CPU cores, Mali G2-Ultra NX GPU]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-08T02:52:39Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Artificial Intelligence](), [GPU](), [Embedded Systems]() Tags: [ai](), [arm](), [armv9](), [artificial-intelligence-ai](), [benchmarks](), [cpu](), [embedded-systems](), [gpu](), [laptop](), [processors](), [smartphone]() ### AI overview Arm introduced the CSS for Mobile 2 platform, combining C2-Ultra and C2-Pro CPUs with SME2 units and the Mali G2-Ultra NX GPU with dedicated neural accelerators. The article covers their specifications and Arm's claimed performance improvements over the previous C1 generation. ### Source excerpt Arm has introduced the CSS for Mobile 2 platform as an AI-native compute foundation comprised of the Arm C2-Ultra and C2-Pro CPUs with SME2 (Scalable Matrix Extension 2) units and the Mali G2-Ultra NX GPU with dedicated neural accelerators that enable neural graphics to run natively on the GPU. Arm C2-Ultra and C2-Pro CPUs Arm C2-Ultra specifications: Architecture - Armv9.3-A Extensions Armv9.4-A (Some key features) SME2 Extensions SVE2 Extensions Cryptography Extensions RAS Extensions ISA support - AArch64 Microarchitecture Pipeline - Out-of-order Superscalar Neon and SVE2 Optional Cryptography Unit Up to 14x CPUs in cluster 40-bit Physical Addressing Memory System and External Interfaces 64KB (I-Cache), 128KB (D-Cache) 2MB or 3MB L2 Cache Optional, 256KB to 32MB L3 Cache ECC Support Bus interfaces - AMBA AXI5 or CHI.E Optional ACP Optional Peripheral Port Security - TrustZone, Secure-EL2 Interrupts - GIC interface, GICv4.1 PMU - PMUv3 CoreSight - CoreSightv3 Embedded Trace Extension - [...] The post Arm CSS for Mobile 2 "AI-Native" platform: Arm C2-Ultra and C2-Pro CPU cores, Mali G2-Ultra NX GPU appeared first on CNX Software - Embedded Systems News. ## ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro DevFeed: [ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-06T07:34:36Z Content type: comparison Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Intel Core](), [pc](), [Windows 11](), [intel](), [cpu]() Tags: [2-5gbe](), [3dmark](), [4k](), [8k](), [artificial-intelligence-ai](), [benchmarks](), [ethernet](), [geekbench](), [hardware](), [intel-core](), [mini-pc](), [mini-pcs](), [passmark](), [pcmark](), [review](), [reviews](), [test](), [testing](), [wifi-6](), [wildcat-lake](), [windows-11](), [youtube]() ### AI overview This review tests the ACEMAGIC Kron Mini K5, an Intel Core 3 304 Wildcat Lake mini PC running Windows 11 Pro. It covers system and AI benchmarks, 4K and 8K Firefox video playback, 2.5GbE and Wi-Fi 6 throughput, thermal performance, fan noise, and power consumption. ### Source excerpt After checking out the hardware of the ACEMAGIC Kron Mini K5 with an unboxing and a teardown in the first part of the review, we've now had time to test the Intel Core 3 304 Wildcat Lake mini PC in more depth with Windows 11 Pro. So in this article, we'll report our experience with the penta-core mini PC, testing features, running system and AI benchmarks, playing 4K and 8K YouTube videos on Firefox, measuring network throughput (2.5GbE and WiFi 6), evaluating thermal performance, and measuring fan noise and power consumption. Software overview and feature testing The System > About window confirms we have a 1.5 GHz (base frequency) Intel Core 3 304 computer paired with 12GB of RAM and 477GB of storage, running Windows 11 Pro 25H2 build 26200.9168. HWiNFO 64 provides additional details about the 15W Intel Core 3 304 penta-core (1P+4E) Wildcat Lake-U processor, the motherboard with [...] The post ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro appeared first on CNX Software - Embedded Systems News. ## Can You Really Replicate Your Favorite SaaS With AI? DevFeed: [Can You Really Replicate Your Favorite SaaS With AI?]() Original publisher: [Read original article]() Author: Eric Karkovack Published: 2026-09-02T18:29:49Z Content type: article Language: en Sources: [Speckyboy Design Magazine]() Topics: [Artificial Intelligence](), [Software as a service](), [coding]() Tags: [ai](), [artificial-intelligence-ai](), [crm](), [learn-web-development](), [saas](), [wordpress](), [wordpress-ai](), [wordpress-developer]() ### AI overview The article examines using AI to recreate a SaaS product, arguing that generated code can help but does not remove the challenges of scope, integrations, data ownership, and maintenance. ### Source excerpt AI makes it easier to recreate parts of SaaS apps, but building a useful tool takes more than generated code. This article covers scope, integrations, data ownership, and maintenance. The post Can You Really Replicate Your Favorite SaaS With AI? appeared first on Speckyboy Design Magazine. ## LightMake L4 3D printer features four independent heads for simultaneous or multi-color printing (Crowdfunding) DevFeed: [LightMake L4 3D printer features four independent heads for simultaneous or multi-color printing (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-02T10:55:06Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [3D]() Tags: [3d-printer](), [3d-printing](), [artificial-intelligence-ai](), [camera](), [crowdfunding](), [diy](), [hardware](), [kickstarter](), [precision](), [production](), [video]() ### AI overview The LightMake L4 is a desktop FDM 3D printer with four independently controlled printheads and linear-motor motion. It supports simultaneous duplicate printing, multi-color and multi-material printing, and batch production, with claimed toolhead changes in one second, near-zero purge waste, motion precision of ±1µm, and speeds up to 500 mm/s. ### Source excerpt The LightMake L4 is a desktop 3D printer with four independent printing heads for high-throughput multi-color, multi-material, and batch production. It uses four independently controlled printheads and linear-motor motion instead of conventional belts, allowing users to print four identical models simultaneously, produce complex multi-color parts with minimal purge waste, or combine up to four materials in a single print. Typically, multi-color FDM 3D printers like the Bambu Lab X1 or Geeetech A20M use a single-nozzle purge material during every color change, which leads to a lot of material waste and longer print times. The LightMake L4 takes a different approach by keeping four filaments loaded and heated in four completely separate extruders. According to the company, this allows for one-second toolhead changes and near-zero purge waste. The linear motor system also promises ±1µm motion precision and speeds of up to 500 mm/s. LightMake L4 and L1 specifications: Printing technology - [...] The post LightMake L4 3D printer features four independent heads for simultaneous or multi-color printing (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications DevFeed: [Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-01T14:24:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [cpu](), [Arm](), [RISC-V](), [GPU]() Tags: [4g-lte](), [android](), [artificial-intelligence-ai](), [camera](), [cortex-a55](), [cortex-a78](), [dsp](), [embedded](), [embedded-systems](), [hardware](), [hexagon](), [industrial](), [iot](), [linux](), [npu](), [processor](), [products](), [qualcomm](), [qualcomm-dragonwing](), [risc-v](), [ubuntu](), [wifi-5](), [yocto](), [zephyr](), [zephyr-os]() ### AI overview Qualcomm announced the Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for consumer, commercial, and industrial AIoT applications. The Q-2390 targets devices such as retail and smart home products, while the IQ-2390 targets industrial automation, machine vision, building management, and energy systems. The processors include optional RISC-V real-time cores, Adreno graphics, Hexagon processing, camera and display interfaces, networking, and support for Android, Yocto Linux, Ubuntu, and Zephyr RTOS. ### Source excerpt Qualcomm has announced the Qualcomm Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for AIoT consumer, commercial and industrial applications. The Dragonwing Q-2390 processor is designed for commercial and consumer devices, notably for applications such as retail and smart home products, as well as smart displays and enterprise edge devices, while the Dragonwing IQ-2390 processor is the SKU from the Dragonwing IQ2 Series designed for industrial automation, machine vision, building management and energy systems. Qualcomm IQ-2390 and Q-2390 specifications: CPU 1x Arm Cortex-A78 core up to 1.5 or 1.9 GHz depending on SKU 3x Arm Cortex-A55 cores up to 1.5 or 1.9 GHz depending on SKU Optional SiFive E61 RISC-V real-time core up to 600MHz with 768kB memory Cache - 512 KB L3 cache GPU - Qualcomm Adreno 704 up to 1.1 GHz Audio DSP - Qualcomm Hexagon V66 up to 1.1 GHz NPU - Qualcomm Hexagon up to 1.1 TOPS DPU [...] The post Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications appeared first on CNX Software - Embedded Systems News. ## D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores DevFeed: [D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-08-31T08:06:13Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetson](), [Robotics](), [Embedded Systems](), [Microcontroller](), [Jetson Orin](), [SOC](), [cpu](), [Arm](), [real-time](), [GPU](), [Linux](), [Nvidia]() Tags: [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cortex-a78](), [cpu](), [deep-learning](), [development-kit](), [dfrobot](), [edge-ai](), [embedded](), [embedded-systems](), [gpu](), [hardware](), [jetson](), [jetson-orin](), [linux](), [mcu](), [networking](), [nvidia](), [os](), [processors](), [real-time](), [robotics](), [ros](), [safety](), [sensor](), [sensors](), [single-board-computer](), [soc](), [software](), [som](), [specifications](), [systems](), [ubuntu]() ### AI overview The D-Robotics RDK S100P is a robotics single-board computer featuring a 6-core Cortex-A78AE CPU, 4-core Cortex-R52+ MCU domain, 128 TOPS INT8 Nash BPU, Mali-G78AE GPU, and 24 GB of LPDDR5. Its MCU supports real-time motor and sensor control, potentially reducing the need for a separate real-time controller depending on the robot's requirements. ### Source excerpt D-Robotics RDK S100P development kit is a robotics SBC built around an S100P-based module providing an alternative to NVIDIA Jetson Orin NX 16GB with a 6-core Cortex-A78AE application cluster, a 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU, and 24 GB of LPDDR5. The four R52+ cores can be configured for reliable real-time control: two cores run in lockstep for safety, and the other two support split-lock operation. In practice, the A78AE CPU and BPU can handle Linux and vision processing, while the MCU handles time-critical tasks such as motor and sensor I/O. This can reduce the need for a separate real-time controller, although whether it eliminates one depends on the robot and its requirements. RDK S100P specifications: SoC - D-Robotics S100P CPU - 6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores) MCU - 4x Arm Cortex-R52+ @ 1.2 GHz (1x DCLS [...] The post D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores appeared first on CNX Software - Embedded Systems News. ## From Isolated Agents to Collective Intelligence: Why A2A Is the Protocol the Agentic SOC Has Been Waiting For DevFeed: [From Isolated Agents to Collective Intelligence: Why A2A Is the Protocol the Agentic SOC Has Been Waiting For]() Original publisher: [Read original article]() Author: Jeff Yeo Published: 2026-08-28T15:00:11Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Agentic SOC](), [Model Context Protocol (MCP)](), [Security](), [Architecture & Design]() Tags: [agentic](), [agentic-ai](), [agentic-soc](), [agents](), [announcement](), [architecture](), [artificial-intelligence-ai](), [integration](), [mcp](), [mcp-server](), [model-context-protocol](), [security](), [workflow]() ### AI overview This article presents A2A as a protocol for enabling agents from different vendors and platforms to hand work to one another in a multi-agent security operations center. It explains that A2A complements MCP: MCP connects agents to data and tools, while A2A connects agents to other agents. The article describes this as a conceptual architecture because production security-agent handoffs mediated by A2A are not yet shipping. ### Source excerpt The Agentic SOC needs two protocols, not one. Learn how MCP and A2A work together as the vertical and horizontal layers of multi-agent security operations