Embedded Computing Design
Engineers and developers have unique requirements influenced by several factors, such as location, age group, and especially the specific phase of the design cycle they are working in. Embedded Computing Design recognizes these needs and strives to deliver relevant information at the right time and place. We organize our coverage into key categories: industrial, automotive, consumer, and medical/healthcare. The main technologies we focus on across all these areas include IoT, security, AI/machine learning, and analog/power.
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Global
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Computers Electronics and Technology/Computer Hardware
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Articles
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1 week ago |
embeddedcomputing.com | Tiera Oliver
News Codasip has made an exploration platform available based on the Codasip X730 application core, which integrates CHERI (Capability Hardware Enhanced RISC Instructions). Based on commercially available IP, Codasip Prime is designed to enable advanced development of memory-safe and secure software. The platform supports hardware and software engineers with evaluation and demonstration needs via the capabilities of CHERI technology.
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1 week ago |
embeddedcomputing.com | Tiera Oliver
Product The extended Veros wireless portfolio of Wi-Fi® 7SoCs designed for IoT from Synaptics features the SYN4390 and SYN4384. These support a peak speed of up to 5.8 Gbps, using 2×2 + 2×2 MLO, 320 MHz channel bandwidth, and 4K QAM.
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2 weeks ago |
embeddedcomputing.com | Tiera Oliver
News Rambus Inc. announced the introduction of its next-generation CryptoManager Security IP solutions, including Root of Trust, Hub, and Core families. The CryptoManager Security IP offerings are designed to deliver functional integration and security, enabling customers to choose the level of security features and capabilities for their applications. The CryptoManager Root of Trust delivers a fully turnkey solution and offers the industry’s first Quantum Safe boot flow.
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1 month ago |
embeddedcomputing.com | Rich Nass
In a typical SoC, you handle all your processing functionality within the processor core. Makes sense, right? What if you can handle your processing within the SoC’s memory subsystem? If I understand the concept correctly, the time and power to handle those processing functions would be reduced considerably, which is needed in an AI application. So why hasn’t someone done this? Someone has, and that would be PIMIC.
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1 month ago |
embeddedcomputing.com | Rich Nass
Functional safety is no longer a “nice to have” or “should have” in many applications, having moved to “must have” in spaces like automotive, industrial automation, medical devices, and aviation. Passing the functional safety testing process can be rigorous, especially if you’re going through it for the first time. But even the best experts take at least six months to get software certified.
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