
Articles
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2 days ago |
circuitcellar.com | Kirsten Campbell
Navitas Semiconductor, the only pure-play, next-generation power semiconductor company and industry leader in gallium nitride (GaN) power ICs and silicon carbide (SiC) technology, has announced its high-power GaNSafe™ ICs achieve automotive qualification for both AEC-Q100 and AEC-Q101, showcasing GaN’s next inflection into the automotive market.
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2 days ago |
circuitcellar.com | Kirsten Campbell
Direct Insight, the UK-based technical systems integrator & reseller of system-on-module (SoM) & other embedded systems, has created a QNX 8 BSP (board support package) for Ka-Ro’s QS93 solder-down module with NXP’s i.MX93 processor.
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4 days ago |
circuitcellar.com | Kirsten Campbell
GigaDevice, a leading semiconductor company specializing in flash Memory, 32-bit microcontrollers (MCUs), sensors, analog products and solutions, has unveiled the GD25NE series of dual-power supply SPI NOR Flash, designed specifically for 1.2 V system-on-chip (SoC) applications. The GD25NE series strengthens GigaDevice’s strategic dual-power supply Flash roadmap, providing seamless compatibility with next-generation 1.2 V SoCs and eliminating the need for an external booster circuit.
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1 week ago |
circuitcellar.com | Kirsten Campbell
Macronix, a leading global non-volatile memory (NVM) integrated device manufacturer, has launched its all-new ArmorBoot MX76 series flash memory. The ArmorBoot MX76 is designed for rapid initialization of electronic devices in diverse application scenarios. Authentication, data protection, and configuration are all completed simultaneously to provide Macronix customers with the winning edge in very challenging AI environments.
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1 week ago |
circuitcellar.com | Kirsten Campbell
Lantronix Inc., a global leader of compute and connectivity for IoT solutions enabling Edge AI Intelligence, announced its new Open-Q™ 8550CS System-on-Module (SOM). Powered by the Qualcomm Dragonwing™ QCS8550 processor, this production-ready module provides low-power, on-device Artificial Intelligence (AI) and Machine Learning (ML) capabilities, simplifying design and empowering developers to more quickly bring innovative edge products to market.
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