Boardcon Tiny1126B is a smaller and lighter Rockchip RV1126B system-on-module, yet with more I/Os
Boardcon Tiny1126B shrinks the company's MINI1126B-P Rockchip RV1126B system-on-module (SoM) from 38x30mm to 34x30mm, targeting even more compact AI vision systems such as smart cameras, smart door locks, inspection cameras, cleaning/logistics robots, DMS (Driver Monitoring Systems), BSD (Blind Spot Detection) solutions, and smart displays. Despite its smaller size, the Tiny1126B features two 0.4mm pitch 100-pin connectors, instead of two 0.5mm pitch 80-pin connectors for its predecessors, offering even more I/Os. It's notably gaining a USB 3.0 DRD (Dual-Role Device) interface, an extra SDMMC interface, one additional SPI and I2C interfaces, Fast Ethernet, and more. The rest of the specifications, including memory capacity (up to 4GB LPDDR5) and storage (up to 256GB eMMC flash), remain the same. Boardcon Tiny1126B system-on-module Boardcon Tiny1126B specifications: SoC – Rockchip RV1126B CPU – Quad-core Arm Cortex-A53 up to 1.6 GHz with 32KB L1 I-Cache and 32KB L1 D-Cache, unified 512KB L2 Cache GPU – 2D
Samsung revoluciona o controlo de som com o novo Audio Eraser em tempo real no Galaxy S26
🔗 https://tugatech.com.pt/t82049-samsung-revoluciona-o-controlo-de-som-com-o-novo-audio-eraser-em-tempo-real-no-galaxy-s26
ADLINK OSM-MTK520 – A MediaTek Genio 520-based OSM Size-L system-on-module
ADLINK OSM-MTK520 is a 45 x 45mm OSM Size-L system-on-module (SoM) powered by a MediaTek Genio 520 AIoT processor with a 10 TOPS NPU for Edge AI workloads. It's basically an upgrade to the company's OSM-MTK510 OSM Size-L module with a Genio 510 hexa-core SoC (3.2 TOPS NPU), up to 32GB eMMC flash, and 8GB LPDDR4 with a Genio 520 octa-core SoC (10 TOPS NPU), up to 256GB or 512GB UFS 3.1 storage, and up to 16GB LPDDR5 memory. There are also some minor changes to I/Os with an extra USB OTG interface, DisplayPort instead of HDMI, an extra MIPI CSI camera interface, fewer I2C interfaces, and more GPIOs. ADLINK OSM-MTK520 specifications: SoC – MediaTek Genio 520 (MT8371) CPU – Octa-core processor with 2x Cortex-A78 cores @ up to 2.2 GHz and 4x Cortex-A55 cores @ up to 2.0 GHz GPU – Arm Mali-G57 MC2 GPU up to 880 MHz
Redmi revela o trunfo do K Pad 2 e o detalhe no sistema de som vai transformar os teus videojogos
🔗 https://tugatech.com.pt/t81905-redmi-revela-o-trunfo-do-k-pad-2-e-o-detalhe-no-sistema-de-som-vai-transformar-os-teus-videojogos
Linux 7.0 Release – Main changes, Arm, RISC-V, and MIPS architectures
Linus Torvalds has just released Linux 7.0 on LKML: The last week of the release continued the same "lots of small fixes" trend, but it all really does seem pretty benign, so I've tagged the final 7.0 and pushed it out. I suspect it's a lot of AI tool use that will keep finding corner cases for us for a while, so this may be the "new normal" at least for a while. Only time will tell. Anyway, this last week was a little bit of everything: networking (core and drivers), arch fixes, tooling and selftests, and various random fixes all over the place. Let's keep testing, and obviously tomorrow the merge window for 7.1 opens. I already have four dozen pull requests pending - thank you to all the early people. Linus This follows the Linux 6.19 release about two months ago, which brought us PCIe link encryption and
Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distribution
old school #AI
Feature-rich Raspberry Pi CM5 carrier board offers dual Ethernet, quad RS485, 4G LTE/5G connectivity, and more
Waveshare CM5-ETH-RS485-4G-BASE Raspberry Pi CM5 carrier board offers plenty of features such as GbE and 2.5GbE RJ45 jacks, optional 4G LTE/5G connectivity, terminal blocks for RS485, relay, and digital outputs, and more. The board also features a 4K-capable HDMI output, an M.2 Key-M socket for an NVMe SSD or AI accelerator, two MIPI DSI/CSI connectors, ten status and user LEDs, and a wide 7-36V DC power input. Waveshare CM5-ETH-RS485-4G-BASE specifications: Supported system-on-modules - All Raspberry Pi Compute Module 5 variants with up to 16GB RAM, 64GB eMMC flash, Wireless Storage Optional NVMe SSD via M.2 Key-M socket MicroSD card socket for Compute Module 5 Lite only Video Output HDMI 2.0 port up to 4K resolution 2x MIPI DSI connectors (multiplexed with MIPI CSI) Camera I/F - 2x MIPI CSI connectors (multiplexed with MIPI DSI) Networking Gigabit Ethernet RJ45 port 2.5GbE RJ45 port Optional WiFi 5 and Bluetooth 5.2 on Raspberry
Sentinel Core – A Raspberry Pi CM5 mini-ITX carrier board with a PCIe x16 slot (Crowdfunding)
Sanctuary Systems' Sentinel Core is a Raspberry Pi CM5 mini-ITX carrier board with a PCIe x16 slot to easily connect a graphics card to accelerate 3D graphics, video transcoding, or AI workloads. It's basically a larger Raspberry Pi CM5 IO board with a prototyping area, a PCIe slot, and a 24-pin ATX power connector. The Sentinel Core also comes with two HMI ports, a Gigabit Ethernet port, two USB 3.0 ports, MIPI DSI/CSI connectors, and the usual 40-pin GPIO header. Sentinel Core specifications: Supported module - Raspberry Pi Compute Module 5 via 2x 100-pin B2B connectors Video Output - 2x HDMI 2.0 ports Networking Gigabit Ethernet RJ45 port Optional WiFi 5 and Bluetooth 5.x on Raspberry Pi CM5 USB - 2x USB 3.0 ports, 1x USB 2.0 Type-C port PCIe - High-speed, full-length PCIe x16 slot with PCIe 2.0 x1 signal (PCIe 3.0 unofficially supported) Expansion 40-pin Raspberry Pi GPIO
Toradex OSM and Lino SoMs – 30×30mm NXP i.MX 93/i.MX 91 modules with solder-down or B2B connector designs
Toradex has launched two new ultra-compact (30x30mm) System-on-Module (SoM) families: OSM and Lino, powered by NXP i.MX 91 or i.MX 93 Arm Cortex-A55 SoC for Edge industrial and IoT applications. The OSM iMX91 and OSM iMX93 variants comply with the OSM Size-S standard, featuring a 332-ball contact grid designed to be soldered to the carrier board. The Lino is a proprietary format that keeps the OSM Size-S dimensions but features two board-to-board (B2B) connectors offering more flexibility for potential replacement or future upgrades. Toradex Lino iMX91/iMX93 system-on-module Toradex Lino specifications: SoC (one or the other) NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, and color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Security – EdgeLock Secure Enclave NXP i.MX 91 CPU - Single-core Arm Cortex-A55
The 🫠 ᴘʀᴇᴛᴛʏ BBC 6Music 🎶 #NowPlaying Bot - Radio 6
cnx-software.com
TugaTech 🖥️
amen zwa, esq.