When Software Outruns Silicon: Hardware-Assisted Test Generation to the RescueFor the past decade, the semiconductor industry has…Read More
From Tokens to Infrastructure: Why Compute, Memory, and Power Will Determine the Future of AIBased on Dylan Patel’s SEMI Industry Strategy Symposium…Read More
Intel 18A vs Intel 18A-P: What Is the Difference and Why Does It Matter?Intel’s 18A process technology has become one of…Read More
WEBINAR: Why Google Cloud NetApp Volumes Matter for Modern EDA WorkloadsIn this webinar, Google Cloud and NetApp explore…Read More
How to Free Yourself from Inconsistent Engineering Documentation Before It’s Too LateEmbedded systems programs often fail because critical engineering…Read More
By Todd Burkholder and Per Viklund, Siemens EDA
The landscape of advanced IC packaging is rapidly evolving, driven by the imperative to support innovation on increasingly complex and high-capacity products. The broad industry trend toward heterogeneous integration of diverse die and chiplets into advanced semiconductor… Read More
Verification is always a top priority for any chip project. Re-spins result in lost time-to-market and significant cost overruns. Chip bugs that make it to the field present another level of lost revenue, lost brand confidence and potential costly litigation. If the design is part of the avionics or control for an aircraft, the… Read More
In the rapidly evolving landscape of connected devices, where artificial intelligence meets the physical world, Ceva has unveiled a groundbreaking solution: the Ceva-Waves Wi-Fi 7 1×1 client IP. Announced on October 21, 2025, this IP core is designed to supercharge AI-enabled IoT devices and pioneering physical AI systems,… Read More
In the fast-paced world of AI development, bridging the gap from trained models to production-ready applications can feel like an eternity. Enter Semidynamics’ newly launched Inferencing Tools, a game-changing software suite designed to slash deployment times on the company’s Cervell RISC-V Neural Processing… Read More
I wrote earlier about how deep expertise, say for high-quality RTL design or verification, must be extracted from in-house know-how and datasets. In general, such methods start with one of many possible pre-trained models (GPT, Llama, Gemini, etc.). To this consultants or in-house teams add fine-tuning training, initially… Read More
By Liyue Yan (lyan1@bu.edu)
Fact 1: In the Computer History Museum, how many artifacts are about Electronic Design Automation (EDA)? Zero.
Fact 2: The average starting base salary for a software engineer at Netflix is $219K, and that number is $125K for Cadence; the starting base salary for a hardware engineer at Cadence is $119K… Read More
In the race to power ever-larger AI models, raw compute is only half the battle. The real challenge lies in moving massive datasets between processors, accelerators, and memory at speeds that keep up with trillion-parameter workloads. Synopsys tackles this head-on with its webinar, How PCIe Multistream Architecture is Enabling… Read More
Hardware-level chip security has become an important topic across the semiconductor ecosystem. Thanks to sophisticated AI-fueled attacks, the hardware root of trust and its firmware are now vulnerable. And unlike software security, an instantiated weakness cannot be patched. The implications of such vulnerabilities are… Read More
The competitive landscape of hardware-assisted verification (HAV) has evolved dramatically over the past decade. The strategic drivers that once defined the market have shifted in step with the rapidly changing dynamics of semiconductor design.
Design complexity has soared, with modern SoCs now integrating tens of billions… Read More
Just got an opportunity to write a blog on PQShield, and I’m delighted for several reasons. Happy to work with a company based in Oxford and happy to work on a quantum computing-related topic, which you’ll find I will be getting into more deeply over coming months. (Need a little relief from a constant stream of AI topics.) Also important,… Read More
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