tag: AI

Distributed Authentication Framework Leveraging Multi-Party Computation In A Scalable Tree-Based Architecture (Univ. of Central Florida, Louisiana State)
By Technical Paper Link - 02 Oct, 2025 - Comments: 0

A new technical paper titled "AuthenTree: A Scalable MPC-Based Distributed Trust Architecture for Chiplet-based Heterogeneous Systems" was published by researchers at University of Central Florida and Louisiana State University. Abstract "The rapid adoption of chiplet-based heterogeneous integration is reshaping semiconductor design by enabling modular, scalable, and faster time-to-market s... » read more

Smarter Packaging: How AI is Reshaping Assembly and Materials Control
By Gregory Haley - 02 Oct, 2025 - Comments: 0

When a multi-die package worth $500 fails final test because of a defect that originated three process steps earlier, the economics of advanced packaging become painfully clear. Each excursion carries downstream costs that ripple across assembly, final test, and even system qualification. As packaging margins tighten, the industry is betting on artificial intelligence (AI) to catch those pro... » read more

Research Bits: Sept. 30
By Jesse Allen - 30 Sep, 2025 - Comments: 0

Hybrid memory for edge training and inference Researchers from CEA-Leti, Université Grenoble Alpes, CEA-List, the French National Centre for Scientific Research (CNRS), the University of Bordeaux, Bordeaux INP, IMS France, Université Paris-Saclay, and the Center for Nanosciences and Nanotechnologies developed a hybrid memory system that combines the traits of ferroelectric capacitors (FeCAP)... » read more

The Rise Of AI Co-Processors
By Ed Sperling - 29 Sep, 2025 - Comments: 0

Figuring out the best kinds of processors to use for different AI workloads is a challenge. AI algorithms are undergoing rapid and frequent changes, and the workloads tied to them can vary by data type, by user, and sometimes because of software/firmware updates. On top of that, AI computations tend to require much higher utilization rates than traditional computing, and that will only become m... » read more

What Does Semiconductor Disruption Look Like?
By Brian Bailey - 25 Sep, 2025 - Comments: 2

When conducting interviews for my article on the incorporation of AI within EDA tools, Anand Thiruvengadam, senior director and head of AI product management at Synopsys, said, "AI has the potential to transform how customers do chip design. The entire EDA flow can be disrupted with AI." He is not alone in making this kind of statement. Each year, I do a predictions piece, and I ask about how A... » read more

AI Agents For UVM Generation: Challenges And Opportunities
By Kexun Zhang - 25 Sep, 2025 - Comments: 0

By Yuheng Tang and Kexun Zhang In the last two years, the role of AI tools in developers' workflows has rapidly expanded. What were once simple "code completion" engines have since evolved into agents that can read documentation, test their own code, and improve via self-reflection. While AI has already begun enhancing RTL design workflows, its exploration in verification remains in early st... » read more

Boosting AI Performance With CXL
By Vanessa Do - 25 Sep, 2025 - Comments: 0

As AI applications rapidly advance, AI models are being tasked with processing massive amounts of data containing billions – or even trillions – of parameters. Each large workload involves numerous iterations for data comparison, predictive calculations, and parameter results updating during training. Hence, there is a constant demand for flexible memory expansion and memory sharing among d... » read more

Virtual Metrology In Semiconductor Manufacturing
By Ed Sperling - 19 Sep, 2025 - Comments: 0

Fourth in a seven-part series: Virtual metrology may never be 100% perfect because of the almost unlimited number of changes in a fab tools and the unique chip and wafer designs they're being used to process. But there are places where virtual metrology does make sense. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks about why virtual metrology will never ... » read more

Rethinking AI Infrastructure: The Rise Of PCIe Switches
By Vanessa Do - 11 Sep, 2025 - Comments: 0

When thinking of AI, images of futuristic robots or self-driving cars may come to mind. What might not come to mind are the unsung hardware component heroes that are quietly enabling such complex systems. Among these, PCI Express (PCIe) switches might seem to be a boring topic to write about, much less read. But here's the twist—they are nothing short of revolutionary when it comes to empower... » read more

How Neural Super Sampling Works: Architecture, Training, And Inference
By Liam O'Neil - 11 Sep, 2025 - Comments: 0

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we announced Arm neural technology that will ship in Arm GPUs in 2026. The first use case of the technology is Neural Super Sampling (NSS). NSS is a next-generation, AI-powered upscaling solution. ... » read more

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