Alpha Data Validates ADM-VA600-FL4 Rad-Hard NOR Flash Module

C-Leg: A legacy you can depend on. In 1997, C-Leg set the standard for microprocessor knees and, through multiple evolutions, remains one of the most dependable and clinically proven solutions trusted by clinicians and users around the world—backed by a company committed to being here for the past, present, and future. Learn more about C-Leg: https://ow.ly/8e6950YWGTM

#AIChartoftheDay At this point, we've logically derived the first principle of token-economics hardware demand: Token throughput = HBM size × HBM Bandwidth To validate this thesis, we can put NVIDIA's token throughput from A100 to Rubin Ultra on the same chart as HBM size × HBM BW speed. What you find is that the two curves track each other startlingly closely on log axes. This curve isn't a coincidence — it's the necessary solution of system optimization.

Qt for MCUs 2.12.1 LTS is here with bug fixes and stability improvements. New updates include out-of-the-box support for Infineon PSOC Edge E84, STM32N6 AI microcontrollers, enhanced power-saving deep sleep for TRAVEO T2G, and Coco code coverage integration. Read the full blog for details and platform updates: https://lnkd.in/etE3tm7Q

Qt for MCUs 2.12.1 LTS is here with bug fixes and stability improvements. New updates include out-of-the-box support for Infineon PSOC Edge E84, STM32N6 AI microcontrollers, enhanced power-saving deep sleep for TRAVEO T2G, and Coco code coverage integration. Read the full blog for details and platform updates: https://lnkd.in/d6Ghh-U7

Qt for MCUs 2.12.1 LTS is here with bug fixes and stability improvements. New updates include out-of-the-box support for Infineon PSOC Edge E84, STM32N6 AI microcontrollers, enhanced power-saving deep sleep for TRAVEO T2G, and Coco code coverage integration. Read the full blog for details and platform updates: https://lnkd.in/d-SW_atC

Qt for MCUs 2.12.1 LTS is here with bug fixes and stability improvements. New updates include out-of-the-box support for Infineon PSOC Edge E84, STM32N6 AI microcontrollers, enhanced power-saving deep sleep for TRAVEO T2G, and Coco code coverage integration. Read the full blog for details and platform updates: https://lnkd.in/dA25T7-E

Qt for MCUs 2.12.1 LTS is here with bug fixes and stability improvements. New updates include out-of-the-box support for Infineon PSOC Edge E84, STM32N6 AI microcontrollers, enhanced power-saving deep sleep for TRAVEO T2G, and Coco code coverage integration. Read the full blog for details and platform updates: https://lnkd.in/eA82ex3p

MiniRF, Inc.'s new MRFSP9725 is a 5 to 3000 MHz, high-performance 75-ohm, super-wideband 2-way splitter with excellent amplitude balance and low insertion loss. Its industry-leading 2.9 typical dB IL loss at 3 GHz offers great performance for DOCSIS 4.0 systems today and in the future. It’s offered in a miniature 0.150x0.150 inch space-saving surface-mount package with no external resistor load or inductor components required for bandwidth.

Yesterday at User2User Europe 2026 in Munich, our colleague Sergio García Esteban presented a technical session on integrating Siemens Tessent Embedded Analytics into the NOEL-V RISC-V processor and deploying it at SoC level. The presentation showcased the integration and validation of E-Trace execution trace capabilities using Siemens tools, together with system-level implementation in the GR765 ASIC — a space-oriented multicore RISC-V and SPARC SoC. The session also covered architectural decisions, communicator integration for trace offload, and execution trace extraction flows using Lauterbach tools via JTAG and PCIe. A great opportunity to share practical lessons learned and real-world insights into advanced execution trace integration for complex SoC designs. #SpaceComputing

GigE is the default for machine vision, but it is worth looking into scaling a vision system to take increasing speed and resolution requirements into account. 1GigE, 5GigE, 10GigE and 25GigE are part of our portfolio now, with 100GigE in the future. How does a 100GigE system compare to a fast frame-grabber-based system? See the post below for a side-by-side comparison.