category: IoT and Security

category: Auto, Security & Edge AI

AI Native: What Does It Mean For Embedded Processing?
By Neeta Shenoy - 01 May, 2025 - Comments: 0

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
By Ann Mutschler - 01 May, 2025 - Comments: 0

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
By Ed Plowman - 01 May, 2025 - Comments: 0

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
By Sascha Brodsky - 01 May, 2025 - Comments: 0

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
By Imagination Technologies - 30 Apr, 2025 - Comments: 0

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
By Infineon - 30 Apr, 2025 - Comments: 0

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
By Cadence - 30 Apr, 2025 - Comments: 0

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
By Adam Kovac - 28 Apr, 2025 - Comments: 0

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
By Geoff Tate - 07 Apr, 2025 - Comments: 0

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

AI For The Edge: Why Open-Weight Models Matter
By John Weil - 03 Apr, 2025 - Comments: 0

The rapid advancements in AI have brought powerful large language models (LLMs) to the forefront. However, most high-performing models are massive, compute-heavy, and require cloud-based inference, making them impractical for edge computing. The recent release of DeepSeek-R1 is an early, but unlikely to be the only, example of how open-weight AI models, combined with efficient distillation t... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy