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Artificial Intelligence
Gopi Sirineni is a Silicon Valley veteran with four startups and over 25 years of experience in the semiconductor, software and systems industries. As a senior executive, he has demonstrated exceptional skills in building highly efficient, cost-effective organizations, managing them in rapidly changing environments, and… Read More
Daniel is joined by John Maculley, Global High-Tech Industry Strategy Consultant at Dassault Systèmes. John has over 20 years of experience advancing innovation across the semiconductor and electronics sectors. Based in Silicon Valley, he works with leading foundries, OSATs, design houses, and research institutes worldwide… Read More
Generative AI has transformed software development, enabling entire applications to be built in minutes. But despite similar progress in AI-generated RTL, hardware verification remains a major bottleneck. RTL can be produced quickly, yet proving its correctness is extraordinarily difficult. This has revived a long-standing… Read More
When most people hear the term PDF, they immediately think of a PDF file, a universal, platform-independent way to share electronic documents.
There is, however, another PDF that many outside the semiconductor industry may not be familiar with. And this PDF actually predates the PDF file format. It is short for PDF Solutions, … Read More
This is not about architecting a full SoC from scratch. You already have a competitive platform, now you want to add some kind of accelerator, maybe video, audio, ML, and need to explore architectural options for how accelerator and software should be partitioned, and to optimize PPA. Now we have AI to help us optimize you’d like … Read More
By Andy Nightingale, VP of Product Management and Marketing
As AI adoption accelerates across markets, including automotive ADAS, large-scale compute, multimedia, and edge intelligence, the foundations of system-on-chip (SoC) designs are being pushed harder than ever. Modern AI engines generate tightly coordinated, … Read More
There is a new breed of EDA emerging. Until recently, EDA tools were focused on building better chips, faster and with superior quality of results. Part of that process is verifying and debugging the resultant design. Thanks to ubiquitous AI workloads and multi-chip architectures, the data to be verified and debugged is exploding,… Read More
In a field as white-hot as AI it can be difficult to separate cheerleading from reality. I am as enthusiastic as others about the potential but not the “AI everywhere in everything” message that some emphasize. So it was interesting to find a survey which looks at the deployment reality outside our narrow domain of electronic and … Read More
In the rapidly evolving semiconductor industry, Design Rule Checking (DRC) remains a critical bottleneck in chip design workflows. Siemens EDA’s presentation at the 2025 TSMC Open Innovation Platform Forum, titled “AI-Driven DRC Productivity Optimization,” showcases how artificial intelligence … Read More
As AI and HPC systems scale to thousands of CPUs, GPUs, and accelerators, interconnect performance increasingly determines end-to-end efficiency. Training and inference pipelines rely on low-latency coordination, high-bandwidth memory transfers, and rapid communication across heterogeneous devices. With model sizes… Read More
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Quantum Computing Technologies and Challenges