Extra Safety Measures Needed For Aerospace ICs


Aerospace safety requirements and standards vary depending on whether a spacecraft is manned or unmanned, and how crucial the mission is. The defense contractors designing these spacecraft take various approaches to functional safety based on how critical a component is for the mission to succeed. While losing a few images during an Earth-bound observation may not matter, losing a satellite ... » read more

AI Native: What Does It Mean For Embedded Processing?


Artificial intelligence (AI) continues transforming how users interact with technology. AI-powered chatbots like ChatGPT, along with advancements in data analytics and mobile technology, have contributed to high expectations among tech users. Consumers want and expect faster, more personalized, and smarter experiences — whether they're controlling a smart home device or speaking to a chatbot ... » read more

Cyber Threats Multiply With Commercial Chiplets


The commercialization of chiplets will significantly boost the potential for attacks on hardware, requiring a much broader set of security measures and processes at every level of the supply chain, including traceability from initial design to end of life. Much progress has been made in recent years on security measures, including everything from identifying unusual data traffic inside a chi... » read more

Embarrassingly Parallel Problems: Definitions, Challenges And Solutions


One of the reasons GPUs are regularly discussed in the same breath as AI is that AI shares the same fundamental class of problems as 3D graphics. They are both embarrassingly parallel. Embarrassingly parallel problems refer to computational tasks that: Exhibit independence: Subtasks do not rely on intermediate results from other tasks. Require minimal interaction: Parallel task... » read more

Smarter Cars, Higher Stakes


Artificial intelligence is turbocharging automotive innovation, but it's also unleashing a tangle of high stakes risks that engineers and security experts are scrambling to contain. The push to embed AI deep into today’s vehicles is changing how cars are built, how they handle the road, and how they keep passengers safe. But as onboard intelligence expands, so do the risks. AI systems that... » read more

Getting Real About AI Processors


There’s a lot of confusion and hype around AI. Nearly every service, product or subject area in the technology industry now has an AI label. A lot of this is valid and there’s no doubt that AI is opening up new capabilities and higher productivity across all industries. This white paper categorises AI and related hardware options, with a particular focus on on-device (i.e. edge) AI, givi... » read more

Enhancing AI Datacenter PSUs With Hybrid-Si, SiC, And GaN Power Devices


The rapid growth of artificial intelligence (AI) is driving an unprecedented demand for processing power in data centers, resulting in a surge in power demand at the rack level. With the existing data center rack sizes, the challenge is to deliver more power and efficiency in the same physical footprint apart from costs and cooling. To address this, Infineon has developed a range of hybrid powe... » read more

Flex PCBs Explained: From Materials to Applications Technical eBook


This ebook provides a comprehensive overview of flex PCBs, highlighting their unique benefits, materials used, common challenges, and how you can overcome them. Learn about the various applications of rigid-flex/flex PCBs in modern electronics and gain insights into the future of flex design. Read more here. Fig.1: Small Flex PCB.  Source: Cadence. » read more

Security Power Requirements Are Growing


Determining how much power to budget for security in a chip design is a complex calculation. It starts with a risk assessment of the cost of a breach and the number of possible attack vectors, and whether security is active or passive. Different forms of root of trust and cryptography have different power costs. Different systems could require tradeoffs between performance and security, whic... » read more

2030 Data Center AI Chip Winners: The Trillion Dollar Club


At the start of 2025, I believed AI was overhyped, ASICs were a niche, and a market pullback was inevitable. My long-term view has changed dramatically. AI technology and adoption is accelerating at an astonishing pace. One of the GenAI/LLM leaders, or Nvidia, will be the first $10 Trillion market cap company by 2030. Large language models (LLMs) are rapidly improving in both capability and ... » read more

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